Evidence map›Paper›PMID 35505306›Full record

ArticleBMC infectious diseases2022

Comparison of the clinical presentation across two waves of COVID-19: a retrospective cohort study.

Henriette Nørmølle Buttenschøn, Vibeke Lynggaard, Susanne Gundersborg Sandbøl, Eva Natalia Glassou, Annette Haagerup

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

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  11. Predictors and moderators of COVID-19 pandemic fatigue in Hong Kong.Journal of infection and public health · 2023
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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

5 authors at 1 institution in 1 country.

Henriette Nørmølle ButtenschønNIDO | Centre for Research and Education, Gødstrup Hospital, Hospitalsparken 25, 7400, Herning, Denmark. henrbutt@rm.dk.
Vibeke LynggaardCardiovascular Research Unit, Department of Cardiology, NIDO | Centre for Research and Education, Gødstrup Hospital, Hospitalsparken 25, 7400, Herning, Denmark.
Susanne Gundersborg SandbølNIDO | Centre for Research and Education, Gødstrup Hospital, Hospitalsparken 25, 7400, Herning, Denmark.
Eva Natalia GlassouDepartment of Quality, NIDO | Centre for Research and Education, Gødstrup Hospital, Hospitalsparken 25, 7400, Herning, Denmark.
Annette HaagerupNIDO | Centre for Research and Education, Gødstrup Hospital, Hospitalsparken 25, 7400, Herning, Denmark.
Aarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnly a few studies have performed comprehensive comparisons between hospitalized patients from different waves of COVID-19. Thus, we aimed to compare the clinical characteristics and laboratory data of patients admitted to the western part of Denmark during the first and second waves of COVID-19 in 2020. Furthermore, we aimed to identify risk factors for critical COVID-19 disease and to describe the available information on the sources of infection.

methodsWe performed a retrospective study of medical records from 311 consecutive hospitalized patients, 157 patients from wave 1 and 154 patients from wave 2. The period from March 7 to June 30, 2020, was considered wave 1, and the period from July 1st to December 31, 2020, was considered wave 2. Data are presented as the total study population, as a comparison between waves 1 and 2, and as a comparison between patients with and without critical COVID-19 disease (nonsurvivors and patients admitted to the intensive care unit (ICU)).

resultsPatients admitted during the first COVID-19 wave experienced a more severe course of disease than patients admitted during wave 2. Admissions to the ICU and fatal disease were significantly higher among patients admitted during wave 1 compared to wave 2. The percentage of patients infected at hospital decreased in wave 2 compared to wave 1, whereas more patients were infected at home during wave 2. We found no significant differences in sociodemographics, lifestyle information, or laboratory data in the comparison of patients from waves 1 and 2. However, age, sex, smoking status, comorbidities, fever, and dyspnea were identified as risk factors for critical COVID-19 disease. Furthermore, we observed significantly increased levels of C-reactive protein and creatinine, and lower hemoglobin levels among patients with critical disease.

conclusionsAt admission, patients were more severely ill during wave 1 than during wave 2, and the outcomes were worse during wave 1. We confirmed previously identified risk factors for critical COVID-19 disease. In addition, we found that most COVID-19 infections were acquired at home.

Indexed as

COVID-19ComorbidityHospitalizationHumansIntensive Care UnitsRetrospective StudiesClinical characteristicsCoronavirusCOVID-19Critical diseaseExposureLaboratory dataMortalityPeriodSource of infectionWave

Identifiers

PMID35505306
PMCPMC9063242
OpenAlexW4225320146

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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.