Evidence map›Paper›PMID 34058983›Full record

ArticleInternational journal of emergency medicine2021

In-hospital cardiac arrest incidence and outcomes in the era of COVID-19: an observational study in a Singapore hospital.

Ting Lyu, Faheem Ahmed Khan, Shanaz Matthew Sajeed, Amit Kansal, Monika Gulati Kansal, Shekhar Dhanvijay, Rou An Tan, Jared D'Souza, Ian Cendana, Patricia Leong and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. In-hospital cardiac arrest in a Singaporean tertiary hospital: Epidemiology, outcomes, and potential suboptimal end-of-life planning.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Ting LyuDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
Faheem Ahmed KhanDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore. Faheem_Ahmed_Khan@nuhs.edu.sg.
Shanaz Matthew SajeedDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
Amit KansalDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
Monika Gulati KansalDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
Shekhar DhanvijayDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
Rou An TanDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
Jared D'SouzaDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
Ian CendanaDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
Patricia LeongDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
Chee Keat TanDepartment of Intensive Care Medicine, Ng Teng Fong General Hospital, National University Health System, 1 Jurong East Street 21, Singapore, 609606, Singapore.
National University Health System · SGNg Teng Fong General Hospital · SGFirst Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 pandemic has resulted in significant strain on healthcare resources and this requires diligent resource re-allocation. We aim to describe the incidence and outcomes of in-hospital cardiac arrest (IHCA) during this period as compared to non-pandemic period.

methodsWe conducted a retrospective study in a tertiary care hospital in Singapore. The study compared the incidence and outcomes of code blue activations over a 3-month period from March to May 2020 (COVID-19 period) with the same months in 2019 (pre-COVID-19 period). The primary outcome of the study was the rate of survival to hospital discharge for IHCA. The secondary outcomes included incidence of all code blue activation per 1000 hospital admissions, incidence of IHCA per 1000 hospital admissions. OUTCOMES: The rate of survival to hospital discharge for IHCA was 5.88% in the COVID-19 period as compared to 10.0% in the pre-COVID-19 period [odds ratio (OR), 0.72; 95% confidence interval (CI), 0.26-1.95]. Compared to pre-COVID-19 period, there were more IHCA incidences per 1000 hospital admissions in the COVID-19 period (1.86 vs 1.03; OR, 1.81; 95% CI, 0.78-4.41).

conclusionsThe study observed a trend towards higher incidence of IHCA and lower rate of survival to hospital discharge during COVID-19 pandemic compared to pre-COVID-19 period.

Indexed as

COVID-19 pandemicIn-hospital cardiac arrest

Identifiers

PMID34058983
PMCPMC8165958
OpenAlexW3164626891

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.