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SAPS II and in-hospital mortality risk in the original and the present cohort.

NIAID Data Ecosystem2026-03-10 收录

数据链接：

https://figshare.com/articles/dataset/SAPS_II_and_in-hospital_mortality_risk_in_the_original_and_the_present_cohort_/4495058 数据链接链接失效反馈

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SAPS II and in-hospital mortality risk in the original and the present cohort.

应用场景：

创建时间：

2016-12-23

急性肾损伤预后预测

重症监护评分

Background/Aims: Both the Acute physiology and Chronic Health Evaluation (APACHE II) score and mean platelet volume/platelet count Ratio (MPR) can independently predict adverse outcomes in critically

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Basic patient characteristics and pre-interventional course.

围手术期评估

重症监护评分

Continuous quantities in median (25%-75% percentiles), frequencies with n (%); NRS, Numeric Rating Scale; dBs, day before surgery; pod1, day 1 after surgery; ASA, American Society of Anesthesiologists

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Additional file 4 of Characteristics of hospitalized patients with COVID-19 during the first to fifth waves of infection: a report from the Japan COVID-19 Task Force

COVID-19住院患者临床特征

院内死亡风险

Additional file 4. Supplementary Table 4. Comparison of patient characteristics among in-hospital deaths.

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Model for End-stage Liver Disease excluding INR (MELD-XI) score in critically ill patients: Easily available and of prognostic relevance

重症监护评分

死亡风险预测

Purpose MELD-XI, an adapted version of Model for End-stage Liver Disease (MELD) score excluding INR, was reported to predict outcomes e.g. in patients with acute heart failure. We aimed to evaluate ME

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Risk factors for in-hospital mortality and discharge of patients with Coronavirus Disease-19 in the derivation cohort.

COVID-19临床

院内死亡风险

Risk factors for in-hospital mortality and discharge of patients with Coronavirus Disease-19 in the derivation cohort.

NIAID Data Ecosystem50