The characteristics and death risk factors of 132 COVID-19 pneumonia patients with comorbidities: a retrospective single center analysis in Wuhan, China

  1. Chen Chen
  2. Jingyi Zhang
  3. Chang Li
  4. Zhishuo Hu
  5. Ming Zhang
  6. Pei Tu
  7. Lei Liu
  8. Wenxia Zong

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Abstract

Background

The new coronavirus pneumonia (COVID-19) has evolved into a global pandemic disease, and the epidemiological characteristics of the disease have been reported in detail. However, many patients with new coronary pneumonia have comorbidities, and there are few researches reported in this special population.

Methods

a retrospective analysis was performed on 132 consecutive COVID-19 patients with comorbidities from January 19, 2020 to March 7, 2020 in Hubei Third People’s Hospital. Patients were divided into mild group and critical group and were followed up to the clinical endpoint. The observation biomarkers include the clinical feature, blood routine, blood biochemistry, inflammation biomarkers, and coagulation function. Univariate and multivariate logistic regression was used to analyze the risk factors associated with death.

Results

132 patients were enrolled in this study and divided into the mild group (n=109, 82.6%) and critical group (n=23, 17.4%), of whom 119 were discharged and 13 were died in hospital. The all-cause mortality rate was 9.8%, of which 7 patients died of respiratory failure, 5 patients died of heart failure, and 1patient died of chronic renal failure. There was significant statistical difference of mortality rates between the mild group (5.5%) and the critical group (30.4%). The average time of hospitalization was 16.9 (9, 22) days. Hypertension was the most common comorbidity (n=90, 68.2%), followed by diabetes (n=45, 34.1%), coronary heart disease (31, 23.5%). Compared with the mild group, the patients were older in critical group (P <0.05), and neutrophils, neutrophil ratio, neutrophil-lymphocyte ratio (NLR), serum urea nitrogen (BUN), procalcitonin (PCT), C-reactive protein CRP), serum amyloid protein (SSA), N-terminal brain natriuretic peptide precursor (NT-pro BNP) were significantly increased (P <0.05). However, lymphocytes lymphocyte ratio, albumin were lower than those in the critical group (P <0.05). The patients were further divided into the survivor group (n=119, 90.2%) and the non-survivor group (n=13, 9.8%). Compared with the survivor group, the death rate of patients with coronary heart disease was significantly increased (53.8% vs 20.2%), and The neutrophil ratio, aspartate aminotransferase (AST), BUN, PCT, CRP, SAA, interleukin-6(IL-6) and D-dimer were significantly increased (P <0.05), while the lymphocytes and NLR reduced (P <0.05). Multivariate logistic stepwise regression analysis showed that the past medical history of coronary heart disease[OR:2.806 95%CI:0.971~16.795], decreased lymphocytes [OR: 0.040, 95%CI:0.001~2.306], increased AST[OR:1.026, 95%CI:1.000~1.052], increased SSA[OR:1.021, 95%CI:1.001~1.025], and increased D-dimer[OR:1.231, 95%CI:1.042~1.456] are risk factors associated with death in COVID-19 patients pneumonia with comorbidities.

Conclusion

The mortality rate of COVID-19 patients with coronary heart disease is relatively high. In all patients, the lower lymphocytes, and higher NLR, BUN, PCT, CRP, SSA, D-dimer are significant characteristics. The past medical history of coronary heart disease, decreased lymphocytes, increased AST, SSA and D-dimer are risk factors associated with death in COVID-19 patients’ pneumonia with comorbidities

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    SciScore for 10.1101/2020.05.07.20092882: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study was approved by the Ethics Committee of Hubei Third People’s Hospital and the hospital granted a waiver of informed consent from study participants.
    Consent: This study was approved by the Ethics Committee of Hubei Third People’s Hospital and the hospital granted a waiver of informed consent from study participants.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis: Statistical analyses were performed using SPSS 22.0 for Windows (SPSS, Chicago, Illinois).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

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  2. Version published to 10.1101/2020.05.07.20092882v1 on medRxiv