Department of Emergency Medicine, Aga Khan University Hospital, Stadium Road, Karachi, 74800, Pakistan.
BMC Infect Dis. 2022 Jun 27;22(1):576. doi: 10.1186/s12879-022-07535-8.
Critically-ill Covid-19 patients require extensive resources which can overburden a healthcare system already under strain due to a pandemic. A good disease severity prediction score can help allocate resources to where they are needed most.
We developed a Covid-19 Severity Assessment Score (CoSAS) to predict those patients likely to suffer from mortalities within 28 days of hospital admission. We also compared this score to Quick Sequential Organ Failure Assessment (qSOFA) in adults.
CoSAS includes the following 10 components: Age, gender, Clinical Frailty Score, number of comorbidities, Ferritin level, D-dimer level, neutrophil/lymphocyte ratio, C-reactive Protein levels, systolic blood pressure and oxygen saturation. Our study was a single center study with data collected via chart review and phone calls. 309 patients were included in the study.
CoSAS proved to be a good score to predict Covid-19 mortality with an Area under the Curve (AUC) of 0.78. It also proved better than qSOFA (AUC of 0.70). More studies are needed to externally validate CoSAS.
CoSAS is an accurate score to predict Covid-19 mortality in the Pakistani population.
危重症新冠患者需要大量的资源，这可能会使已经因大流行而不堪重负的医疗系统不堪重负。一个良好的疾病严重程度预测评分可以帮助将资源分配到最需要的地方。
我们开发了一种新冠严重程度评估评分（CoSAS），以预测那些在入院后 28 天内可能死亡的患者。我们还将该评分与成人的快速序贯器官衰竭评估（qSOFA）进行了比较。
CoSAS 包括以下 10 个组成部分：年龄、性别、临床虚弱评分、合并症数量、铁蛋白水平、D-二聚体水平、中性粒细胞/淋巴细胞比值、C 反应蛋白水平、收缩压和血氧饱和度。我们的研究是一项单中心研究，通过病历回顾和电话收集数据。共有 309 名患者纳入研究。
CoSAS 被证明是一种很好的评分，可预测新冠死亡率，曲线下面积（AUC）为 0.78。它也优于 qSOFA（AUC 为 0.70）。需要更多的研究来对外验证 CoSAS。
CoSAS 是一种准确的评分，可以预测巴基斯坦人群中新冠的死亡率。
