Evidence map›Paper›PMID 34243955›Full record

ArticleMedicina clinica2022

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study.

Jian Wang, Li Zhu, Longgen Liu, Xuebing Yan, Leyang Xue, Songping Huang, Biao Zhang, Tianmin Xu, Fang Ji, Chunyang Li and 14 more

Abstract readMulticenter Study
In one paragraph

Article in Medicina clinica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
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

24 authors.

Jian WangDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Li ZhuDepartment of Infectious Diseases, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, China.
Longgen LiuDepartment of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China.
Xuebing YanDepartment of Infectious Diseases, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Leyang XueDepartment of Critical Medicine, Huai'an No. 4 People's Hospital, Huai'an, China.
Songping HuangDepartment of Infectious Diseases, Nantong Third People's Hospital, Nantong University, Nantong, China.
Biao ZhangDepartment of Quality Control Office, Huai'an No. 4 People's Hospital, Huai'an, China.
Tianmin XuDepartment of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China.
Fang JiDepartment of Infectious Diseases, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Chunyang LiDepartment of Infectious Diseases, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Fang MingDepartment of Infectious Diseases, Nantong Third People's Hospital, Nantong University, Nantong, China.
Yun ZhaoDepartment of Infectious Diseases, The Third People's Hospital of Yangzhou, Yangzhou, China.
Juan ChengDepartment of Infectious Diseases, Yancheng Second People's Hospital, Yancheng, China.
Kang ChenDepartment of Tuberculosis, The Third People's Hospital of Changzhou, Changzhou, China.
Xiang-An ZhaoDepartment of Gastroenterology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China.
Dawen SangDepartment of Infectious Diseases, Yancheng Second People's Hospital, Yancheng, China.
Xinying GuanDepartment of Neurology, The Affiliated Hospital of Kangda College of Nanjing Medical University, The First People's Hospital of Lianyungang, Lianyungang, China.
Xiaobing ChenDepartment of Emergency, The Affiliated Hospital of Kangda College of Nanjing Medical University, The First People's Hospital of Lianyungang, Lianyungang, China.
Xiaomin YanDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Zhaoping ZhangDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Jiacheng LiuDepartment of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Rui HuangDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China. Electronic address: doctor_hr@126.com.
Chuanwu ZhuDepartment of Infectious Diseases, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, China. Electronic address: zhuchw@126.com.
Chao WuDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China. Electronic address: dr.wu@nju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have investigated the impacts of metabolic syndrome (MS) on coronavirus disease 2019 (COVID-19). We described the clinical features and prognosis of confirmed COVID-19 patients with MS during hospitalization and after discharge.

methodsTwo hundred and thirty-three COVID-19 patients from the hospitals in 8 cities of Jiangsu, China were retrospectively included. Clinical characteristics of COVID-19 patients were described and risk factors of severe illness were analyzed by logistic regression analysis.

resultsForty-five (19.3%) of 233 COVID-19 patients had MS. The median age of COVID-19 patients with MS was significantly higher than non-MS patients (53.0 years vs. 46.0 years, P=0.004). There were no significant differences of clinical symptoms, abnormal chest CT images, and treatment drugs between two groups. More patients with MS had severe illness (33.3% vs. 6.4%, P<0.001) and critical illness (4.4% vs. 0.5%, P=0.037) than non-MS patients. The proportions of respiratory failure and acute respiratory distress syndrome in MS patients were also higher than non-MS patients during hospitalization. Multivariate analysis showed that concurrent MS (odds ratio [OR] 7.668, 95% confidence interval [CI] 3.062-19.201, P<0.001) and lymphopenia (OR 3.315, 95% CI 1.306-8.411, P=0.012) were independent risk factors of severe illness of COVID-19. At a median follow-up of 28 days after discharge, bilateral pneumonia was found in 95.2% of MS patients, while only 54.7% of non-MS patients presented bilateral pneumonia.

conclusions19.3% of COVID-19 patients had MS in our study. COVID-19 patients with MS are more likely to develop severe complications and have worse prognosis. More attention should be paid to COVID-19 patients with MS.

Indexed as

COVID-19Metabolic SyndromeChinaHumansMiddle AgedPrognosisRetrospective StudiesSARS-CoV-2Coronavirus disease 2019Enfermedad por coronavirus 2019Metabolic syndromePrognosisPronósticoSíndrome metabólico

Identifiers

PMID34243955
PMCPMC8213355

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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.