M. Marushchak, I. Ya. Krynytska, T. Homeliuk, Andriy Vayda, S. Kostiv, Vasyl Blikhar
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However, its relationship with the severity of pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has not been thoroughly explored.\n\n\nOBJECTIVES\nThe aim of the present study was to identify the impact of the comorbidity burden, quantitatively assessed by applying CCI, on the severity of inpatient community-acquired pneumonia (CAP) caused by SARS-CoV-2.\n\n\nMATERIAL AND METHODS\nThe study was conducted using the medical records of 208 patients with CAP who had an epidemiological history of a plausible SARS-CoV-2 infection, with positive polymerase chain reaction (PCR) confirmation no later than 1 month before being admitted for inpatient treatment. The CCI was calculated using a custom computer program. The statistical analysis of data was carried out using Statistica, v. 7.0.\n\n\nRESULTS\nOur study found a significant correlation between the comorbidity burden and the severity of CAP caused by SARS-CoV-2. Specifically, we observed a low CCI score in the majority of patients in the pneumonia risk class II and III groups, and a high CCI score ≥3 in the majority of patients in the pneumonia risk class IV group. Moreover, a direct correlation between CCI and age was established. The comorbidities most commonly associated with CAP caused by SARS-CoV-2 were congestive heart failure, moderate to severe liver diseases and diabetes mellitus (DM) with chronic complications.\n\n\nCONCLUSIONS\nThe use of CCI to evaluate comorbid pathology in hospitalized patients with CAP caused by SARS-CoV-2 can assist the medical staff in developing timely preventive and therapeutic strategies, leading to improved patient prognosis.","PeriodicalId":11191,"journal":{"name":"Dental and Medical Problems","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Charlson comorbidity index and the severity of community-acquired pneumonia caused by SARS-CoV-2: A retrospective analysis.\",\"authors\":\"M. Marushchak, I. Ya. Krynytska, T. Homeliuk, Andriy Vayda, S. 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引用次数: 0
摘要
背景夏尔森合并症指数(CCI)被认为是预测2019年冠状病毒病(COVID-19)患者不良临床结局和死亡率的有效而可靠的工具。本研究旨在确定合并症负担对 SARS-CoV-2 引起的住院社区获得性肺炎(CAP)严重程度的影响,合并症负担可通过应用 CCI 进行定量评估。材料和方法研究使用了 208 名 CAP 患者的病历,这些患者有疑似 SARS-CoV-2 感染的流行病学史,并在入院治疗前 1 个月内聚合酶链反应(PCR)确认为阳性。CCI使用定制的计算机程序计算。结果我们的研究发现,合并症负担与 SARS-CoV-2 引起的 CAP 严重程度之间存在显著相关性。具体而言,我们观察到肺炎风险等级为 II 级和 III 级的大多数患者的 CCI 得分较低,而肺炎风险等级为 IV 级的大多数患者的 CCI 得分≥3 分。此外,CCI 还与年龄直接相关。SARS-CoV-2引起的CAP最常见的合并症是充血性心力衰竭、中重度肝病和糖尿病(DM)并发慢性并发症。
Charlson comorbidity index and the severity of community-acquired pneumonia caused by SARS-CoV-2: A retrospective analysis.
BACKGROUND
The Charlson comorbidity index (CCI) has been considered as a valid and reliable tool for predicting poor clinical outcomes and mortality in patients with coronavirus disease 2019 (COVID-19). However, its relationship with the severity of pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has not been thoroughly explored.
OBJECTIVES
The aim of the present study was to identify the impact of the comorbidity burden, quantitatively assessed by applying CCI, on the severity of inpatient community-acquired pneumonia (CAP) caused by SARS-CoV-2.
MATERIAL AND METHODS
The study was conducted using the medical records of 208 patients with CAP who had an epidemiological history of a plausible SARS-CoV-2 infection, with positive polymerase chain reaction (PCR) confirmation no later than 1 month before being admitted for inpatient treatment. The CCI was calculated using a custom computer program. The statistical analysis of data was carried out using Statistica, v. 7.0.
RESULTS
Our study found a significant correlation between the comorbidity burden and the severity of CAP caused by SARS-CoV-2. Specifically, we observed a low CCI score in the majority of patients in the pneumonia risk class II and III groups, and a high CCI score ≥3 in the majority of patients in the pneumonia risk class IV group. Moreover, a direct correlation between CCI and age was established. The comorbidities most commonly associated with CAP caused by SARS-CoV-2 were congestive heart failure, moderate to severe liver diseases and diabetes mellitus (DM) with chronic complications.
CONCLUSIONS
The use of CCI to evaluate comorbid pathology in hospitalized patients with CAP caused by SARS-CoV-2 can assist the medical staff in developing timely preventive and therapeutic strategies, leading to improved patient prognosis.