Evidence map›Paper›PMID 37948082›Full record

ArticleJAMA network open2023

Nosocomial SARS-CoV-2 Infections and Mortality During Unique COVID-19 Epidemic Waves.

Nishi Dave, Daniel Sjöholm, Pontus Hedberg, Anders Ternhag, Fredrik Granath, Janneke D M Verberk, Anders F Johansson, Suzanne D van der Werff, Pontus Nauclér

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Hospital Care at Home for Adults Living in Rural Settings: A Qualitative Evaluation.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Nishi DaveDepartment of Medicine, Solna, Division of Infectious Diseases, Karolinska Institutet, Stockholm, Sweden.
Daniel SjöholmDepartment of Medicine, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden.
Pontus HedbergDepartment of Medicine, Solna, Division of Infectious Diseases, Karolinska Institutet, Stockholm, Sweden.
Anders TernhagDepartment of Medicine, Solna, Division of Infectious Diseases, Karolinska Institutet, Stockholm, Sweden.
Fredrik GranathDepartment of Medicine, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden.
Janneke D M VerberkDepartment of Medical Microbiology and Infection Prevention, University Medical Centre Utrecht, Utrecht, the Netherlands.
Anders F JohanssonDepartment of Clinical Microbiology and Laboratory for Molecular Infection Medicine Sweden, Umeå University, Umeå, Sweden.
Suzanne D van der WerffDepartment of Medicine, Solna, Division of Infectious Diseases, Karolinska Institutet, Stockholm, Sweden.
Pontus NauclérDepartment of Medicine, Solna, Division of Infectious Diseases, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Quantifying the burden of nosocomial SARS-CoV-2 infections and associated mortality is necessary to assess the need for infection prevention and control measures. Objective: To investigate the occurrence of nosocomial SARS-CoV-2 infections and associated 30-day mortality among patients admitted to hospitals in Region Stockholm, Sweden. Design, Setting, and Participants: A retrospective, matched cohort study divided the period from March 1, 2020, until September 15, 2022, into a prevaccination period, early vaccination and pre-Omicron (period 1), and late vaccination and Omicron (period 2). From among 303 898 patients 18 years or older living in Region Stockholm, 538 951 hospital admissions across all hospitals were included. Hospitalized admissions with nosocomial SARS-CoV-2 infections were matched to as many as 5 hospitalized admissions without nosocomial SARS-CoV-2 by age, sex, length of stay, admission time, and hospital unit. Exposure: Nosocomial SARS-CoV-2 infection defined as the first positive polymerase chain reaction test result at least 8 days after hospital admission or within 2 days after discharge. Main Outcomes and Measures: Primary outcome of 30-day mortality was analyzed using time-to-event analyses with a Cox proportional hazards regression model adjusted for age, sex, educational level, and comorbidities. Results: Among 2193 patients with SARS-CoV-2 infections or reinfections (1107 women [50.5%]; median age, 80 [IQR, 71-87] years), 2203 nosocomial SARS-CoV-2 infections were identified. The incidence rate of nosocomial SARS-CoV-2 infections was 1.57 (95% CI, 1.51-1.64) per 1000 patient-days. In the matched cohort, 1487 hospital admissions with nosocomial SARS-CoV-2 infections were matched to 5044 hospital admissions without nosocomial SARS-CoV-2 infections. Thirty-day mortality was higher in the prevaccination period (adjusted hazard ratio [AHR], 2.97 [95% CI, 2.50-3.53]) compared with period 1 (AHR, 2.08 [95% CI, 1.50-2.88]) or period 2 (AHR, 1.22 [95% CI, 0.92-1.60]). Among patients with nosocomial SARS-CoV-2 infections, 30-day AHR comparing those with 2 or more doses of SARS-CoV-2 vaccination and those with less than 2 doses was 0.64 (95% CI, 0.46-0.88). Conclusions and Relevance: In this matched cohort study, nosocomial SARS-CoV-2 infections were associated with higher 30-day mortality during the early phases of the pandemic and lower mortality during the Omicron variant wave and after the introduction of vaccinations. Mitigation of excess mortality risk from nosocomial transmission should be a strong focus when population immunity is low through implementation of adequate infection prevention and control measures.

Indexed as

COVID-19Cross InfectionAged, 80 and overCohort StudiesCOVID-19 VaccinesFemaleHospitalsHumansPandemicsRetrospective StudiesSARS-CoV-2COVID-19 Vaccines

Identifiers

PMID37948082
PMCPMC10638644

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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.