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Clinical paper|Articles in Press, 109750

The association between time of in hospital cardiac arrest and mortality; a retrospective analysis of two UK databases

Open AccessPublished:February 24, 2023DOI:https://doi.org/10.1016/j.resuscitation.2023.109750

      Abstract

      Aims

      The incidence of in hospital cardiac arrest (IHCA) varies throughout the day. This study aimed to report the variation in incidence of IHCA, presenting rhythm and outcome based on the hour in which IHCA occurred.

      Methods

      We conducted a retrospective analysis of the National Cardiac Arrest Audit (NCAA) including patients who suffered an IHCA from 1st April 2011 to 31st December 2019. We then linked the NCAA and intensive care Case Mix Programme databases to explore the effect of time of IHCA on hospital survival in the subgroup of patients admitted to intensive care following IHCA.

      Results

      We identified 115,690 eligible patients in the NCAA database. Pulseless electrical activity was the commonest presenting rhythm (54.8%). 66,885 patients died in the immediate post resuscitation period. Overall, hospital survival in the NCAA cohort was 21.3%.
      We identified 13,858 patients with linked ICU admissions in the Case Mix Programme database; 37.0% survived to hospital discharge. The incidence of IHCA peaked at 06.00. Rates of return of spontaneous circulation, survival to hospital discharge and good neurological outcome were lowest between 05.00 and 07.00. Among those admitted to ICU, no clear diurnal variation in hospital survival was seen in the unadjusted or adjusted analysis. This pattern was consistent across all presenting rhythms.

      Conclusions

      We observed higher rates of IHCA, and poorer outcomes at night. However, in those admitted to ICU, this variation was absent. This suggests patient factors and processes of care issues contribute to the variation in IHCA seen throughout the day.

      Keywords

      Introduction

      One in 625 patients admitted to UK hospitals suffer in-hospital cardiac arrest (IHCA).
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      • et al.
      Incidence and outcome of in-hospital cardiac arrest in the United Kingdom National Cardiac Arrest Audit.
      Mortality is high, with less than one in five patients surviving to hospital discharge.
      • Nolan J.P.
      • Soar J.
      • Smith G.B.
      • et al.
      Incidence and outcome of in-hospital cardiac arrest in the United Kingdom National Cardiac Arrest Audit.
      Rates of IHCA and outcomes vary throughout the day.
      • Radeschi G.
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      • Berta G.
      • et al.
      Incidence and outcome of in-hospital cardiac arrest in Italy: a multicentre observational study in the Piedmont Region.
      • Tripathi A.
      • Girotra S.
      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      Patients who suffer an IHCA at night are less likely to achieve return of spontaneous circulation (ROSC) and survive.
      • Radeschi G.
      • Mina A.
      • Berta G.
      • et al.
      Incidence and outcome of in-hospital cardiac arrest in Italy: a multicentre observational study in the Piedmont Region.
      • Tripathi A.
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      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
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      Outcome of Adult Cardiopulmonary Resuscitations at a Tertiary Referral Center Including Results of “Limited” Resuscitations.
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      • Dane F.C.
      Resuscitation in the Hospital: Circadian Variation of Cardiopulmonary Arrest.
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      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
      • Robinson E.J.
      • Smith G.B.
      • Power G.S.
      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
      It is unclear whether circadian rhythm, patient characteristics or processes of care drive diurnal IHCA differences.
      • Peberdy M.A.
      • Ornato J.P.
      • Larkin G.L.
      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
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      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
      Circadian rhythm is defined as cyclical changes in physiology throughout the day.
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      Variations in physiology which predispose to ischaemic and thromboembolic events may result in a night time nadir and morning peak in rates of IHCA.
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      The National Cardiac Arrest Audit (NCAA) is the UK national clinical audit of IHCA. Previous NCAA database analysis found no differences in patient characteristics who suffered IHCA at night, leading authors to conclude that poorer outcomes were due to processes of care.
      • Robinson E.J.
      • Smith G.B.
      • Power G.S.
      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
      However, the limited patient dataset collected by NCAA in turn limits the scope for research based on analysis of NCAA data alone.
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      • Power G.S.
      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
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      • et al.
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      Patients who suffer IHCA often have severe comorbidities and are dependent on others for care.

      Findlay G, Shotton H, Kelly K, Mason M. Time to intervene? A review of patients who underwent cardiopulmonary resuscitation as a result of an in-hospital cardiorespiratory arrest. A report by the National Confidential Enquiry into Patient Outcome and Death, 2012 (Accessed 14th November 2022, at http://www.ncepod.org.uk/2012report1/downloads/CAP_fullreport.pdf).

      The case mix programme (CMP) is the national clinical audit of patient outcomes from adult, general intensive care units (ICUs) in England, Wales and Northern Ireland. The CMP contains additional information which includes pre-admission level of dependency and diagnostic categories. Thus, linkage of the NCAA and CMP databases represents an opportunity to correct for patient characteristics in those with IHCA admitted to ICU. Furthermore, consultant-level input at the point of referral to ICU may address process of care issues previously identified in IHCA which contribute to poorer outcomes at night.

      Findlay G, Shotton H, Kelly K, Mason M. Time to intervene? A review of patients who underwent cardiopulmonary resuscitation as a result of an in-hospital cardiorespiratory arrest. A report by the National Confidential Enquiry into Patient Outcome and Death, 2012 (Accessed 14th November 2022, at http://www.ncepod.org.uk/2012report1/downloads/CAP_fullreport.pdf).

      Guidelines for the provision of intensive care services, edition 2. The Faculty of Intensive Care Medicine, 2019. (Accessed 14th November 2022, at GPICS 2nd Edition)

      We hypothesized that the incidence of IHCA, presenting rhythm and mortality following IHCA varies based on hour in which the IHCA occurred but that patient factors and processes of care, and not circadian rhythm, may explain variation in IHCA outcomes.

      Methods

      Data source

      In the UK, the Intensive Care National Audit and Research Centre (ICNARC) administer both NCAA and CMP. Support for the collection and use of data from these national clinical audits was obtained under Section 251 of the National Health Service Act 2006. Approval was granted by the Health Research Authority (NCAA approval number ECC 2–06(n)/2009, CMP approval number: PIAG 2–10(f)/2005).
      Acute hospitals in England, Wales, Scotland and Northern Ireland participate in NCAA. All resuscitation events, which commence in-hospital, where defibrillation or chest compressions are delivered by the hospital-based resuscitation team are eligible for inclusion in NCAA. NCAA contains data on the patient, hospital admission, cardiac arrest, survival and neurological outcomes.
      The CMP is the national clinical audit of patient outcomes in intensive care. All adult, general ICUs in England, Wales and Northern Ireland contribute to the CMP. ICUs in Scotland do not participate. In addition, not all specialist ICUs or stand-alone high dependency units (HDUs) participate.
      • Ferrando-Vivas P.
      • Jones A.
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      • Harrison D.A.
      Development and validation of the new ICNARC model for prediction of acute hospital mortality in adult critical care.
      For consecutive admissions, trained data collectors record data on physiological and non-physiological predictors of mortality. Diagnostic categories are recorded using ICNARC Coding Method with diagnoses available for 99.8% of patients.
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      • Goldfrad C.
      • Rowan K.
      Development and testing of a hierarchical method to code the reason for admission to intensive care units: the ICNARC Coding Method. Intensive Care National Audit & Research Centre.
      Data collected for NCAA and CMP undergoes extensive validation to assess completeness, logical consistency and biological plausibility prior to their use in audit and research.

      Study design and population

      We included all adult patients (≥16 years) in the NCAA database where the cardiac arrest team provided CPR or defibrillation (‘NCAA cohort’). We included patients with IHCA recorded between 1st April 2011 (when the current NCAA dataset commenced) and 31st December 2019 (to exclude the COVID-19 pandemic which may have affected provision of in-patient hospital services, rates of do not resuscitate orders, resuscitation guidelines and the provision of ICU services
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      Bringing into focus treatment limitation and DNACPR decisions: How COVID-19 has changed practice.
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      How COVID-19 has affected staffing models in intensive care: A qualitative study examining alternative staffing models (SEISMIC).
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      • Bossaert L.
      • et al.
      European Resuscitation Council COVID-19 guidelines executive summary.
      ).
      We also investigated a subset of patients admitted to ICU following IHCA, with a linked CMP record (‘ICU linked cohort’). In keeping with national guidelines on emergency admissions to ICU, we only included those admitted to ICU within 4 hours of their cardiac arrest as delays beyond 4 hours are associated with poorer outcomes.

      Guidelines for the provision of intensive care services, edition 2. The Faculty of Intensive Care Medicine, 2019. (Accessed 14th November 2022, at GPICS 2nd Edition)

      • Harris S.
      • Singer M.
      • Rowan K.
      • Sanderson C.
      Delay to admission to critical care and mortality among deteriorating ward patients in UK hospitals: a multicentre, prospective, observational cohort study.
      We excluded cardiac arrests that began pre-hospital. IHCA occurring in ICU were excluded as they show little diurnal variation
      • Tripathi A.
      • Girotra S.
      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      ; this may represent disrupted circadian rhythm or staffing models in ICU where night time staffing closely resembles day time staffing.
      • Tripathi A.
      • Girotra S.
      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      • Oldham M.A.
      • Lee H.B.
      • Desan P.H.
      Circadian Rhythm Disruption in the Critically Ill: An Opportunity for Improving Outcomes.
      We excluded those with a Do Not Attempt Cardio-Pulmonary Resuscitation (DNACPR) decision in place before the arrest, and those with missing date and time of IHCA.
      • Robinson E.J.
      • Smith G.B.
      • Power G.S.
      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
      • Harrison D.A.
      • Patel K.
      • Nixon E.
      • et al.
      Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team.
      Where patients were attended to by the cardiac arrest team on more than one occasion or had more than one ICU admission within the same hospital stay, the first was selected for analysis.

      Statistical analysis

      Patient characteristics, IHCA details and patient outcomes are summarised descriptively using frequencies and percentages (categorical variables) or mean (SD) or median (IQR) (continuous variables) for the NCAA and ICU linked cohorts. Frequencies of IHCA are presented graphically by hour and presenting rhythm.
      We considered time of IHCA as the primary exposure. We treated time of IHCA as a categorical variable with 24 hourly categories. Binary logistic regression was used to model unadjusted ROSC > 20 minutes, hospital survival and good neurological outcome (defined as cerebral performance category (CPC) 1–2 at hospital discharge, as recorded in NCAA) for the NCAA cohort, and survival to ICU discharge for the ICU linked cohort.
      Hospital survival was the primary outcome measure in keeping with the Core Outcome Set for Cardiac Arrest and the majority of studies in cardiac arrest.
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      • et al.
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      • Whitehead L.
      • Perkins G.D.
      • Clarey A.
      • Haywood K.L.
      A systematic review of the outcomes reported in cardiac arrest clinical trials: The need for a core outcome set.
      To ensure comparability between the NCAA and ICU linked cohorts, the primary outcome was derived from the NCAA database. In the ICU linked cohort, there was 99% agreement in hospital survival between the NCAA and CMP records. For the ICU linked cohort, we adjusted for age, sex, pre-admission dependency, presence of severe comorbidity as defined by APACHE II, diagnosis resulting in ICU admission, NCAA documented reason for admission to/attendance at/visit to hospital, length of hospital stay prior to IHCA, year, clinical status at arrival of cardiac arrest team and location of IHCA (Supplementary Table 1).
      • Peberdy M.A.
      • Ornato J.P.
      • Larkin G.L.
      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
      • Robinson E.J.
      • Smith G.B.
      • Power G.S.
      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
      • Harrison D.A.
      • Patel K.
      • Nixon E.
      • et al.
      Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team.
      Four location categories were used to reflect IHCA at the point of admission to hospital, in-patient locations, in specialist treatment areas and, finally, in HDU/coronary care. The level of missing data was low. Therefore, full case analysis was undertaken with no imputation of missing data. Results are presented as odds ratios for hospital survival and corresponding 95% confidence intervals.
      Analysis was conducted for each rhythm; shockable (ventricular fibrillation, pulseless ventricular tachycardia, and unknown shockable rhythm), pulseless electrical activity (PEA), asystole and rhythm never determined. The hour with the lowest proportion of patients achieving each outcome was used as the reference category.
      We conducted two sensitivity analyses. The first was restricted to IHCA occurring between Monday 08.00 and Saturday 07.59 which aimed to further reduce the effects of processes of care on survival. The second included all patients admitted to ICU up to 24 hours following IHCA.
      All analyses were performed in Stata 16.1 (StataCorp LP, College Station, TX).

      Results

      Of the 150,636 IHCAs recorded in 228 acute hospitals during the ten-year study period, 115,690 were included in the NCAA cohort, of which 13,858 were subsequently admitted to ICU and included in the ICU linked cohort (Fig. 1). The commonest reason for exclusion from the ICU linked cohort was death, which occurred in 66,885 patients. A total of 137 patients were excluded from the complete case analysis due to missing data. Baseline demographics and cardiac arrest characteristics are presented in Table 1.
      Table 1Patient demographics.
      Patient characteristicsNCAA cohort (n = 115,690)ICU linked cohort (n = 13,858)
      Age (years), Median (IQR)76 (66–84)69 (58–78)
      Male sex, n (%)67,984 (58.8)8,248 (59.5)
      Ethnic group, n (%)
        White95,197 (82.3)11,134 (80.3)
        Not stated11,030 (9.5)1191 (8.6)
        Asian/Asian British5,373 (4.6)880 (6.4)
       Black/African/Caribbean/Black British1,955 (1.7)325 (2.3)
       All other1,492 (1.3)221 (1.6)
       Mixed/multiple ethnic group642 (0.6)107 (0.8)
      Pre-admission dependency, n (%)
       Able to live without assistance in daily activitiesNA8,854 (64.3)
       Minor assistance with some daily activitiesNA3,684 (26.8)
       Major assistance with majority of/all daily activitiesNA1,082 (7.9)
       Total assistance with all daily activitiesNA150 (1.1)
      Presence of severe comorbidity*, n (%)NA2,661 (19.2)
      Diagnosis resulting in ICU admission, n (%)
       Acute coronary syndromeNA5,370 (38.8)
       Cardiac arrhythmiaNA3,683 (26.6)
       OtherNA2,798 (20.2)
       SepsisNA2,007 (14.5)
      APACHE-II physiology score, median (IQR)NA15 (11–21)
      Length of hospital stay prior to arrest (days), median (IQR)2 (0–6)1 (0–5)
      Reason for admission to/attendance at/visit to your hospital, n (%)
       In-patient - medical99,809 (86.3)11,245 (81.2)
       In-patient - surgical13,945 (12.1)2,334 (16.8)
       Outpatient1,490 (1.3)217 (1.6)
       Staff or visitor371 (0.3)60 (0.4)
      Location of cardiac arrest, n (%)
       In-patient location69,607 (60.2)7,697 (55.5)
       At the point of presentation to hospital22,727 (19.7)3,180 (23.0)
       High dependency/coronary care unit13,160 (11.4)1,064 (7.7)
       Treatment area10,159 (8.8)1,915 (13.8)
      Status at team arrival, n (%)
       Resuscitation ongoing97,853 (84.6)11,814 (85.3)
       ROSC achieved before team arrival10,201 (8.8)961 (6.9)
       Deteriorating (not yet arrested)6,706 (5.8)1,080 (7.8)
       Dead - resuscitation stopped809 (0.7)0 (0.0)
      Presenting rhythm, n (%)
       Shockable18,885 (16.3)2,524 (18.2)
       VF12,883 (11.1)1,839 (13.3)
       VT5,412 (4.7)608 (4.4)
       Unknown (shockable)590 (0.5)77 (0.6)
       PEA63,387 (54.8)8,642 (62.4)
       Asystole25,110 (21.7)1,868 (13.5)
       Rhythm never determined8,308 (7.2)824 (5.9)
      *Using APACHE II definition of severe co-morbidity.
      Reason for admission to/attendance at/visit to your hospital, n (%).
      In-patient include all patients from the point of triage in the emergency department to discharge from hospital.
      Outpatients include all those who attended the hospital for clinic or appointment.
      In-patient location: In-patient ward, obstetric clinical areas or other inpatient intermediate care area.
      At the point of presentation to hospital: Emergency department, emergency admissions unit (or equivalent), outpatient clinic, non-clinical area.
      Treatment area: Theatre and recovery, imaging department, cardiac catheter laboratory or other specialist treatment area.
      High dependency/coronary care unit: HDU, CCU.

      NCAA cohort

      PEA was the commonest presenting rhythm in the NCAA cohort (54.8%). Patient outcomes are presented in Tables 2 and 3. The ward location, where patients who achieved sustained ROSC were cared for, is presented in Supplementary Table 2. Hospital survival was 21.3%. Rates of IHCA (Fig. 2 and Supplementary Fig. 1), ROSC > 20 minutes (Supplementary Fig. 2), unadjusted hospital survival (Fig. 3) and survival with good neurological outcome (Supplementary Fig. 3) varied throughout the 24 hour period. Outcomes were typically worst between 05.00 and 07.00.
      Table 2Patient outcomes in the NCAA cohort.
      OutcomeEntire NCAA cohort

      n = 115,690 (%)
      Shockable

      n = 18,885 (%)
      PEA

      n = 63,387 (%)
      Asystole

      n = 25,110 (%)
      Rhythm never determined

      n = 8,308 (%)
      ROSC > 20 minutes56,420 (48.8)14,434 (76.4)28,732 (45.3)7,105 (28.3)6,149 (74.5)
      Survival to hospital discharge24,592 (21.3)9,775 (51.9)8,828 (13.9)2,284 (9.1)3,705 (45.0)
      CPC* 1 or 2 (% of all IHCA)21,089 (18.7)8,609 (48.3)7,334 (11.8)1,975 (8.0)3,171 (40.5)
      CPC 1 or 2 (% of all survivors to hospital discharge)21,089 (88.7)8,609 (88.1)7,334 (83.1)1,975 (86.5)3,171 (85.6)
      * Cerebral performance category (CPC) at hospital discharge. CPC is a five-point scale used to classify neurological outcomes. CPC 1 (good performance) and 2 (moderate disability) are considered good outcomes. CPC 3 (severe disability), 4 (coma or vegetative state) or 5 (death) are considered poor outcomes.
      Table 3Patient outcomes in the ICU linked cohort.
      OutcomeEntire ICU (CMP) cohort

      n = 13,858 (%)
      Shockable

      n = 2,524 (%)
      PEA

      n = 8,642 (%)
      Asystole

      n = 1,868 (%)
      Rhythm never determined

      n = 824 (%)
      ICU survival6,055 (43.8)1,615 (64.2)3,396 (39.4)574 (30.8)470 (57.3)
      Survived to hospital discharge5,106 (37.0)1,417 (56.3)2,822 (32.7)440 (23.7)427 (52.0)
      CPC 1 or 2 (% of all IHCA)4,326 (32.7)1,205 (51.2)2,395 (28.8)378 (20.8)348 (46.3)
      CPC 1 or 2 (% of all survivors to hospital discharge)4,326 (84.7)1,205 (85.0)2,395 (84.8)378 (85.9)348 (81.5)
      ICU length of stay (days), median (IQR)
       SurvivorsNA3.3 (1.8–6.5)5.2 (2.5–10.7)5.0 (2.4–11.8)3.6 (1.8–7.5)
       Non-survivorsNA1.6 (0.5–4.1)1.2 (0.4–3.9)1.3 (0.4–3.6)1.3 (0.4–4.2)
      Hospital length of stay (days), median (IQR)
       SurvivorsNA15 (8–29)20 (10–37)19 (9–41)16 (8–34)
       Non-survivorsNA2 (1–4)1 (0–4)1 (0–4)1 (0–4)
      Figure thumbnail gr2
      Fig. 2Incidence of IHCA throughout 24-hour period for the NCAA cohort (n = 115,690).
      Figure thumbnail gr3
      Fig. 3Rates of hospital survival Unadjusted rates of hospital survival in the NCAA cohort, unadjusted rates of hospital survival in the ICU (CMP) linked cohort and adjusted rates of hospital survival in the ICU (CMP) linked cohort divided by hour and presenting rhythm.

      Shockable rhythm

      Shockable rhythm incidence was highest at 09.00, and lowest at 01.00 with clear diurnal variation. Rates of ROSC > 20 minutes, unadjusted hospital survival and good neurological outcome were all lowest at 05.00 or 06.00 and highest at 15.00 or 16.00.

      PEA

      PEA incidence was highest at 09.00, with smaller peaks at 06.00 and 22.00, again diurnal variation was seen. Rates of ROSC > 20 minutes, unadjusted hospital survival and good neurological outcome were all lowest at 05.00 and highest at between 11.00 and 13.00.

      Asystole

      Rates of asystole peaked at 06.00; asystole was three times more frequent at 06.00 than 15.00 (Fig. 2). There was a sharp decline in the number of patients presenting with asystole between 06.00 and 07.00. Rates of ROSC > 20 minutes, unadjusted hospital survival and good neurological outcome were all lowest between 05.00 and 07.00 and highest between 13.00 and 16.00.

      Rhythm never determined

      Rates of IHCA where the rhythm was never determined peaked at 09.00. Rates of ROSC > 20 minutes, unadjusted hospital survival and good neurological outcome were lowest between 03.00 and 05.00 and highest at 11.00.

      ICU linked cohort

      In patients admitted to ICU following their IHCA, again PEA was the commonest presenting rhythm (62.4%). Hospital survival was 37.0%; rates of unadjusted and adjusted hospital survival in the ICU linked cohort are presented in Fig. 3.

      Shockable rhythm

      The primary outcome measure of adjusted odds ratio for hospital survival was lowest at 05.00 and highest at 00.00 in those with shockable IHCA admitted to ICU. However, there was no clear diurnal variation in either unadjusted or adjusted hospital survival in ICU linked cohort (Fig. 3).

      PEA

      Once again, little diurnal variation was seen in unadjusted or adjusted hospital survival (Fig. 3); the primary outcome measure of adjusted hospital survival was lowest at 22.00 and highest at 18.00 in those with PEA.

      Asystole

      Adjusted hospital survival was lowest at 07.00 and highest at 16.00 in those with asystole admitted to ICU, with no clear diurnal variation seen in adjusted hospital survival.

      Rhythm never determined

      The number of patients where rhythm was never determined who were admitted to ICU was small (n = 824). Therefore, confidence intervals for adjusted hospital survival were wide; survival was lowest at 03.00 but highest at 07.00.

      Sensitivity analysis

      Sensitivity analyses produced similar results to the primary analysis demonstrating no clear diurnal variation in adjusted hospital survival in those admitted to ICU having suffered IHCA on a weekday (Supplementary Fig. 4) or when all patients admitted to ICU up to 24 hours after their IHCA were included (Supplementary Fig. 5).

      Discussion

      We conducted a retrospective observational study of IHCA including 115,690 patients from a UK population. We also studied a cohort of patients admitted to ICU following their IHCA; the commonest reason for exclusion from this ICU cohort was death. Only one in five patients survived to hospital discharge in our study, similar to survival rates seen in other registries.
      • Radeschi G.
      • Mina A.
      • Berta G.
      • et al.
      Incidence and outcome of in-hospital cardiac arrest in Italy: a multicentre observational study in the Piedmont Region.
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      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      • Peberdy M.A.
      • Ornato J.P.
      • Larkin G.L.
      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
      • Robinson E.J.
      • Smith G.B.
      • Power G.S.
      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
      • Girotra S.
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      • Krumholz H.M.
      • Chan P.S.
      Trends in Survival after In-Hospital Cardiac Arrest.
      Between 20.00 and 08.00, we observed higher rates of IHCA, lower rates of ROSC > 20 minutes, lower hospital survival and poorer neurological outcomes. However, patients subsequently admitted to ICU demonstrated no diurnal variation in hospital survival either before or after adjustment.
      Previous studies have demonstrated diurnal variation in the incidence of shockable rhythms.
      • Radeschi G.
      • Mina A.
      • Berta G.
      • et al.
      Incidence and outcome of in-hospital cardiac arrest in Italy: a multicentre observational study in the Piedmont Region.
      • Tripathi A.
      • Girotra S.
      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      • Jones-Crawford J.L.
      • Parish D.C.
      • Smith B.E.
      • Dane F.C.
      Resuscitation in the Hospital: Circadian Variation of Cardiopulmonary Arrest.
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      • Ornato J.P.
      • Larkin G.L.
      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
      However, these have included both patients receiving care at ward level and those in ICU.
      • Radeschi G.
      • Mina A.
      • Berta G.
      • et al.
      Incidence and outcome of in-hospital cardiac arrest in Italy: a multicentre observational study in the Piedmont Region.
      • Tripathi A.
      • Girotra S.
      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      • Peberdy M.A.
      • Ornato J.P.
      • Larkin G.L.
      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
      In our study of a homogenous cohort of patients at ward level, we observed a night time nadir and morning peak in shockable rhythms in keeping with other studies.
      • Tripathi A.
      • Girotra S.
      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      • Jones-Crawford J.L.
      • Parish D.C.
      • Smith B.E.
      • Dane F.C.
      Resuscitation in the Hospital: Circadian Variation of Cardiopulmonary Arrest.
      A morning rise in blood pressure, increased vascular tone, catecholamine secretion, changes in cortisol levels and platelet activation may predispose to cardiac arrhythmias, ischaemic and thromboembolic events and account for a morning peak in IHCA.
      • Jones-Crawford J.L.
      • Parish D.C.
      • Smith B.E.
      • Dane F.C.
      Resuscitation in the Hospital: Circadian Variation of Cardiopulmonary Arrest.
      • Brooks S.C.
      • Schmicker R.H.
      • Rea T.D.
      • et al.
      Out-of-hospital cardiac arrest frequency and survival: Evidence for temporal variability.
      • Muller J.E.
      • Ludmer P.L.
      • Willich S.N.
      • et al.
      Circadian variation in the frequency of sudden cardiac death.
      • Soo L.H.
      • Gray D.
      • Young T.
      • Hampton J.R.
      Circadian variation in witnessed out of hospital cardiac arrest.
      It is notable that two thirds of patients in the ICU linked cohort had an underlying diagnosis of acute coronary syndrome or cardiac arrhythmia.
      A night time nadir and morning peak in out of hospital cardiac arrest (OHCA) has been reported.
      • Brooks S.C.
      • Schmicker R.H.
      • Rea T.D.
      • et al.
      Out-of-hospital cardiac arrest frequency and survival: Evidence for temporal variability.
      • Muller J.E.
      • Ludmer P.L.
      • Willich S.N.
      • et al.
      Circadian variation in the frequency of sudden cardiac death.
      • Soo L.H.
      • Gray D.
      • Young T.
      • Hampton J.R.
      Circadian variation in witnessed out of hospital cardiac arrest.
      • Willich S.N.
      • Levy D.
      • Rocco M.B.
      • Tofler G.H.
      • Stone P.H.
      • Muller J.E.
      Circadian variation in the incidence of sudden cardiac death in the Framingham heart study population.
      However, concern exists that the reduced incidence of shockable rhythms overnight may be due to prolonged ambulance response times and lower rates of bystander intervention in an OHCA population.
      • Brooks S.C.
      • Schmicker R.H.
      • Rea T.D.
      • et al.
      Out-of-hospital cardiac arrest frequency and survival: Evidence for temporal variability.
      • Soo L.H.
      • Gray D.
      • Young T.
      • Hampton J.R.
      Circadian variation in witnessed out of hospital cardiac arrest.
      Presentation with non-fatal acute myocardial infarction,
      • Cohen M.C.
      • Rohtla K.M.
      • Lavery C.E.
      • Muller J.E.
      • Mittleman M.A.
      Meta-analysis of the morning excess of acute myocardial infarction and sudden cardiac death.
      • Nagarajan V.
      • Fonarow G.C.
      • Ju C.
      • et al.
      Seasonal and circadian variations of acute myocardial infarction: Findings from the Get With The Guidelines-Coronary Artery Disease (GWTG-CAD) program.
      malignant ventricular arrhythmias detected by internal cardiac defibrillators
      • Patton K.K.
      • Hellkamp A.S.
      • Lee K.L.
      • et al.
      Unexpected Deviation in Circadian Variation of Ventricular Arrhythmias.
      • Mallavarapu C.
      • Pancholy S.
      • Schwartzman D.
      • et al.
      Circadian variation of ventricular arrhythmia recurrences after cardioverter-defibrillator implantation in patients with healed myocardial infarcts.
      and stroke
      • Elliott W.J.
      Circadian Variation in the Timing of Stroke Onset.
      all demonstrate a night time nadir and morning peak.
      • Black N.
      • D’Souza A.
      • Wang Y.
      • et al.
      Circadian rhythm of cardiac electrophysiology, arrhythmogenesis, and the underlying mechanisms.
      These conditions share similar pathophysiology to IHCA, but are unaffected by processes of care seen in hospitals.
      In the NCAA cohort, we identified variation in rates of IHCA throughout the 24-hour period with a peak at 06.00. This is in keeping with other studies.
      • Tripathi A.
      • Girotra S.
      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      • Jones-Crawford J.L.
      • Parish D.C.
      • Smith B.E.
      • Dane F.C.
      Resuscitation in the Hospital: Circadian Variation of Cardiopulmonary Arrest.
      Rates of ROSC > 20 minutes, hospital survival, and survival with a good neurological outcome were consistently lowest between 05.00 and 07.00. Whilst this may suggest a circadian effect on IHCA, no diurnal variation was seen in those subsequently admitted to ICU. Therefore, unmeasured patient factors and processes of care must also be considered.
      The 06.00 peak in IHCA was primarily driven by an increase in asystole, being three times more frequent at 06.00 than at 15.00. Normal circadian rhythm results in elevated vagal but reduced sympathetic tone at night. This leads to nocturnal bradycardia, delayed conduction via the atrioventricular node and lengthening of QRS duration.
      • Black N.
      • D’Souza A.
      • Wang Y.
      • et al.
      Circadian rhythm of cardiac electrophysiology, arrhythmogenesis, and the underlying mechanisms.
      This may explain an increase in asystole seen overnight.
      • Jones-Crawford J.L.
      • Parish D.C.
      • Smith B.E.
      • Dane F.C.
      Resuscitation in the Hospital: Circadian Variation of Cardiopulmonary Arrest.
      • Peberdy M.A.
      • Ornato J.P.
      • Larkin G.L.
      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
      However, the abrupt decline in rates of asystole between 06.00 and 07.00 lacks biological plausibility and suggests processes of care may play a role. The 06.00 peak in asystole and reduced rates of shockable rhythm overnight may represent multiple patients across many hours with undetected IHCA who subsequently deteriorated into asystole.
      • Robinson E.J.
      • Smith G.B.
      • Power G.S.
      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
      Cardiac arrests at night time are less likely to be monitored or witnessed.
      • Peberdy M.A.
      • Ornato J.P.
      • Larkin G.L.
      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
      Being cared for on a ward without telemetry monitoring is an independent risk factor for presenting with a non-shockable rhythm.
      • Tripathi A.
      • Girotra S.
      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      In our study, 11.4% of IHCA occurred in a high dependency or coronary care unit and 8.8% occurred in a specialist treatment area. Therefore, rates of cardiac monitoring in the NCAA cohort were likely to have been low. Despite this, we observed rates of asystole (21.7%) lower than that reported in studies with high levels of witnessed or monitored IHCA.
      • Radeschi G.
      • Mina A.
      • Berta G.
      • et al.
      Incidence and outcome of in-hospital cardiac arrest in Italy: a multicentre observational study in the Piedmont Region.
      • Peberdy M.A.
      • Ornato J.P.
      • Larkin G.L.
      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
      The absence of co-morbidity data in the NCAA database has previously been recognized as a limitation.
      • Harrison D.A.
      • Patel K.
      • Nixon E.
      • et al.
      Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team.
      In 2012, a National Confidential Enquiry into Patient Outcome and Death (NCEPOD) examined cases of ward based IHCA in the UK. Here, over a quarter of patients were physically dependant on others and 81% had a severe co-morbidity.

      Findlay G, Shotton H, Kelly K, Mason M. Time to intervene? A review of patients who underwent cardiopulmonary resuscitation as a result of an in-hospital cardiorespiratory arrest. A report by the National Confidential Enquiry into Patient Outcome and Death, 2012 (Accessed 14th November 2022, at http://www.ncepod.org.uk/2012report1/downloads/CAP_fullreport.pdf).

      In our study, linkage of the NCAA and CMP databases allowed us to adjust for level of dependency and presence of severe comorbidity.
      The NCEPOD enquiry found that no decision had been made regarding resuscitation status in 78% of cases and attempts at resuscitation were “inappropriate” in a quarter of cases.

      Findlay G, Shotton H, Kelly K, Mason M. Time to intervene? A review of patients who underwent cardiopulmonary resuscitation as a result of an in-hospital cardiorespiratory arrest. A report by the National Confidential Enquiry into Patient Outcome and Death, 2012 (Accessed 14th November 2022, at http://www.ncepod.org.uk/2012report1/downloads/CAP_fullreport.pdf).

      In a study examining timing of DNACPR orders, the mean time to institution was 3.2 days, longer than the median length of stay prior to IHCA in our study.
      • Torke A.M.
      • Sachs G.A.
      • Helft P.R.
      • et al.
      Timing of Do-Not-Resuscitate Orders for Hospitalized Older Adults Who Require a Surrogate Decision-Maker.
      Therefore, absence of a DNACPR order, may have meant patients who were unlikely to benefit from CPR were resuscitated. In contrast, national standards in the UK dictate that all decisions to admit to ICU are made by a consultant in Intensive Care Medicine.

      Guidelines for the provision of intensive care services, edition 2. The Faculty of Intensive Care Medicine, 2019. (Accessed 14th November 2022, at GPICS 2nd Edition)

      Consultant level decision making in those referred to ICU is likely to have excluded patients with severe co-morbidities or high levels of dependency that would not benefit from ICU support. Consequently, the ICU linked cohort likely represents a selected group of patients much more likely to survive. This consultant-level input, may have eliminated important process of care issues, resulting in loss of diurnal variation in hospital survival even prior to adjustment.
      Our study has several strengths. Our NCAA cohort excluded patients in ICU at the time of IHCA and thus represents a homogeneous cohort. In contrast, in previous studies of comparable size, half of all patients were in ICU with a quarter mechanically ventilated at the time of IHCA.
      • Tripathi A.
      • Girotra S.
      • Toft L.E.B.
      Circadian variation of in-hospital cardiac arrest.
      • Peberdy M.A.
      • Ornato J.P.
      • Larkin G.L.
      • et al.
      Survival From In-Hospital Cardiac Arrest During Nights and Weekends.
      Diurnal variation in the incidence of IHCA in the UK has previously been reported.
      • Nolan J.P.
      • Soar J.
      • Smith G.B.
      • et al.
      Incidence and outcome of in-hospital cardiac arrest in the United Kingdom National Cardiac Arrest Audit.
      However, previous studies examined 12-hour blocks that coincide with staffing patterns but lack biological plausibility.
      • Robinson E.J.
      • Smith G.B.
      • Power G.S.
      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
      Due to the cohort size we were able to generate 24 one-hour blocks and stratify on rhythm. Hourly blocks have been shown to model diurnal variations in IHCA best.
      • Jones-Crawford J.L.
      • Parish D.C.
      • Smith B.E.
      • Dane F.C.
      Resuscitation in the Hospital: Circadian Variation of Cardiopulmonary Arrest.
      This enabled identification of changes in rates of asystole on an hourly basis that were biologically implausible.
      Previous studies using the NCAA database have been unable to correct for patient characteristics.
      • Robinson E.J.
      • Smith G.B.
      • Power G.S.
      • et al.
      Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study.
      Our study uniquely linked the NCAA and CMP databases. Crucially, this allowed adjustment for important prognostic variables present in a UK IHCA population admitted to ICU.

      Findlay G, Shotton H, Kelly K, Mason M. Time to intervene? A review of patients who underwent cardiopulmonary resuscitation as a result of an in-hospital cardiorespiratory arrest. A report by the National Confidential Enquiry into Patient Outcome and Death, 2012 (Accessed 14th November 2022, at http://www.ncepod.org.uk/2012report1/downloads/CAP_fullreport.pdf).

      We demonstrated the incidence of IHCA, presenting rhythm and survival following IHCA varied throughout the day in the NCAA cohort. However, the absence of diurnal variation in survival seen in the ICU cohort prior to adjustment, suggest this variation is likely explained by patient factors and processes of care, not circadian rhythm.
      Our study has some weaknesses. As fewer hospitals submit data to NCAA than CMP, we will have failed to capture some patients who suffered an IHCA and been admitted to ICU. Furthermore, our exclusion criteria may mean the ICU cohort is not fully representative of an IHCA population in the UK. However, whilst our ICU cohort only contained 12.0% of all eligible IHCA, the majority were excluded as they did not achieve ROSC or died in the immediate post resuscitative period. The exclusion of patients admitted to ICU > 4 hours after IHCA may have excluded patients who were receiving treatment for the cause of their IHCA prior to ICU admission. Analysis of patients who suffered an IHCA and ST-elevation myocardial infarction included in the UK Myocardial Ischaemia National Audit Project database revealed the median time to revascularization was 0.76 hours (IQR 0.51–1.2).
      • Dafaalla M.
      • Rashid M.
      • Weston C.
      • et al.
      Effect of Location on Treatment and Outcomes of Cardiac Arrest Complicating Acute Myocardial Infarction in England & Wales.
      The rapid access to coronary angiography would suggest receiving appropriate treatment is unlikely to result in a delay of > 4 hours in admission to ICU. A sensitivity analysis including those admitted to ICU up to 24 hours following IHCA produced results similar to the primary analysis.
      The aetiology of IHCA is not recorded in NCAA. Whilst we present diagnosis resulting in ICU admission as recorded in CMP, these diagnoses lack detail and likely contain heterogenous groups of patients with variable circadian biology who are subject to different processes of care. The inclusion of patients who suffered an IHCA following surgery or trauma may have included patients who arrested due to bleeding, the timing of which is unlikely to be influenced by circadian rhythm. However, exsanguination (4–6%), cardiac tamponade (3%) and pneumothorax (0.1%) are all uncommon causes of IHCA.
      • Chen N.
      • Callaway C.W.
      • Guyette F.X.
      • et al.
      Arrest etiology among patients resuscitated from cardiac arrest.
      • Tirkkonen J.
      • Hellevuo H.
      • Olkkola K.T.
      • Hoppu S.
      Aetiology of in-hospital cardiac arrest on general wards.
      • Allencherril J.
      • Lee P.Y.K.
      • Khan K.
      • Loya A.
      • Pally A.
      Etiologies of In-hospital cardiac arrest: A systematic review and meta-analysis.
      We are unable to comment on patient wake time which may govern circadian rhythm. Admission to hospital may disrupt circadian rhythm.
      • Muller J.E.
      • Ludmer P.L.
      • Willich S.N.
      • et al.
      Circadian variation in the frequency of sudden cardiac death.
      However, in our study the median time to IHCA was 2 days in the NCAA cohort and 1 day in the ICU linked cohort. Therefore, circadian rhythm is unlikely to have been significantly disrupted.
      We were unable to correct for witnessed status, as this is not recorded in the NCAA or CMP databases. In a UK healthcare setting, the level of cardiac monitoring is likely to have been low. The peak in asystole at 06.00 may represent unwitnessed IHCA which has gone unrecognised. Hence, outcomes may have been influenced by processes of care which we were unable to adjust for. We were unable to adjust for duration of IHCA (a predictor of mortality) as this was only reliably recorded in the NCAA database from 2016. However, we corrected for variables recorded in the NCAA dataset which has good discrimination (c index 0.811) for predicting hospital survival.
      • Harrison D.A.
      • Patel K.
      • Nixon E.
      • et al.
      Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team.
      The NCAA model has better ability to predict hospital survival than other models which adjust for intra-arrest variables.
      • Harrison D.A.
      • Patel K.
      • Nixon E.
      • et al.
      Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team.
      We were unable to correct for institutional factors including staffing, therefore residual confounding relating to processes of care may remain. Finally, we presented CPC as a measure of neurological outcome. Inter-rater variability may affect the quality of CPC data.
      • Harrison D.A.
      • Patel K.
      • Nixon E.
      • et al.
      Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team.
      • Haywood K.
      • Whitehead L.
      • Nadkarni V.M.
      • Achana F.
      • Beesems S.
      • Böttiger B.W.
      • et al.
      COSCA (Core Outcome Set for Cardiac Arrest) in Adults: An Advisory Statement From the International Liaison Committee on Resuscitation.
      • Reynolds E.C.
      • Zenasni Z.
      • Harrison D.A.
      • Rowan K.M.
      • Nolan J.P.
      • Soar J.
      How do information sources influence the reported Cerebral Performance Category (CPC) for in-hospital cardiac arrest survivors? An observational study from the UK National Cardiac Arrest Audit (NCAA).
      CPC is assessed by note review in 72.6% of cases in NCAA, and has previously been shown to overestimate disability.
      • Reynolds E.C.
      • Zenasni Z.
      • Harrison D.A.
      • Rowan K.M.
      • Nolan J.P.
      • Soar J.
      How do information sources influence the reported Cerebral Performance Category (CPC) for in-hospital cardiac arrest survivors? An observational study from the UK National Cardiac Arrest Audit (NCAA).
      Reassuringly, our rates of good neurological outcome was similar to other studies.
      • Radeschi G.
      • Mina A.
      • Berta G.
      • et al.
      Incidence and outcome of in-hospital cardiac arrest in Italy: a multicentre observational study in the Piedmont Region.

      Conclusion

      We conducted a large retrospective observational study examining the effect of circadian rhythm on outcomes following IHCA and linked two UK national audits to adjust for important confounders. We observed higher rates of IHCA, and poorer outcomes between 20.00 and 08.00. However, in those admitted to ICU, no diurnal variation was seen. This suggests patient factors and processes of care issues contribute to the variation in outcomes following IHCA seen throughout the day. Strategies directed towards improving processes of care may improve outcomes.

      Conflicts of interest

      None.

      Data statement

      The data that support the findings of this study are available from ICNARC but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are, however, available from the authors upon reasonable request and with permission of ICNARC’s independent Data Access Advisory Group.

      Appendix A. Supplementary material

      The following are the Supplementary data to this article:

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