Evidence map›Paper›PMID 33459077›Full record

ArticleCurrent medical research and opinion2021

Predictors of clinical deterioration in non-severe patients with COVID-19: a retrospective cohort study.

Zhang Yitao, Chen Mu, Zhou Ling, Cheng Shiyao, Xue Jiaojie, Chen Zhichong, Peng Huajing, Ou Maode, Cheng Kanglin, Ou Yang Mao and 2 more

Abstract read
In one paragraph

Article in Current medical research and opinion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
–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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Carbon dioxide and MAPK signalling: towards therapy for inflammation.Cell communication and signaling : CCS · 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

12 authors.

Zhang YitaoThe Cardiovascular Department, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chen MuDepartment of Pulmonology, Guangzhou Eighth People's Hospital, Guangzhou, China.
Zhou LingThe First Clinical Medical College, Jinan University, Guangzhou, China.
Cheng ShiyaoThe Cardiovascular Department, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xue JiaojieThe Cardiovascular Department, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chen ZhichongThe Cardiovascular Department, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Peng HuajingThe Cardiovascular Department, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ou MaodeThe Cardiovascular Department, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Cheng KanglinThe Cardiovascular Department, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ou Yang MaoThe Cardiovascular Department, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Mo XiaonengDepartment of Pulmonology, Guangzhou Eighth People's Hospital, Guangzhou, China.
Zeng WeijieThe Cardiovascular Department, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCoronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains pandemic with considerable morbidity and mortality around the world. The aim of this study was to identify the predictors for clinical deterioration in patients with COVID-19 who did not show clinical deterioration upon hospital admission.

methodsTwo hundred fifty-seven patients with confirmed COVID-19 pneumonia admitted to Guangzhou Eighth People's Hospital between 23 January and 21 March 2020 were retrospectively enrolled. Demographic data, symptoms, laboratory values, comorbidities and treatments were all collected. The study endpoint was clinical deterioration within 20 days from hospital admission. Univariate and multivariable logistic regression methods were used to explore the risk factors associated with clinical deterioration.

resultsA total of 49 (19%) patients showed clinical deterioration after admission. Compared with patients that did not experience clinical deterioration, clinically deteriorated patients had more dyspnea, cough and myalgia (65.3% versus 29.3%) symptoms and more had comorbidities (89.8% versus 36.1%). Clinical and laboratory characteristics at admission that were associated with clinical deterioration included senior age, diabetes, hypertension, myalgia, higher temperature, systolic blood pressure, C-reactive protein (CRP), procalcitonin, activated partial thromboplastin time, aspartate aminotransferase, alanine transaminase, direct bilirubin, plasma creatinine, lymphocytopenia, thrombocytopenia, decreased albumin and bicarbonate concentration. Medical history of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, calcium channel blockers and metformin were also risk factors.

conclusionThe four best predictors for clinical deterioration were CRP, procalcitonin, age and albumin. A "best" multivariable prediction model, resulting from using a variable selection procedure, included senior age, presentation with myalgia, and higher level of CRP and serum creatinine (bias-corrected

Indexed as

Clinical DeteriorationCOVID-19Noncommunicable DiseasesAge FactorsChinaC-Reactive ProteinFemaleHospitalizationHumansMaleMiddle AgedProcalcitoninRetrospective StudiesRisk AssessmentRisk FactorsSARS-CoV-2C-Reactive ProteinProcalcitoninSerum Albuminageclinical deteriorationCOVID-19CRPmyalgiapredictorserum creatinine

Identifiers

PMID33459077
PMCPMC7876670

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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.