<p>The raw data.</p>

Sepsis remains a leading cause of morbidity and mortality among critically ill patients, particularly in resource‐limited settings where diagnostic capacity and therapeutic options are constrained. In this study, we aimed to identify clinical, laboratory, and treatment factors that independently predict in‐hospital mortality among adult sepsis patients admitted to a tertiary care intensive care unit (ICU) in the West Bank of Palestine. We conducted a retrospective cohort study of 326 adult patients (aged 18–80 years) admitted with sepsis to the medical ICU of a major tertiary referral hospital between January 2018 and December 2023. In‐hospital mortality was 41.4% (n = 135). Predictors of mortality were assessed using a multivariable logistic regression model. Multivariable logistic regression identified advancing age (OR 1.03 per year; 95% CI: 1.01-1.06; p = 0.010), cardiovascular disease (OR 2.66; 95% CI: 1.17-6.04; p = 0.020), elevated heart rate (OR 1.03 per beat/min; 95% CI: 1.01-1.04; p < 0.001), reduced urine output (OR 1.00 per mL; 95% CI: 1.00-1.00; p = 0.035), elevated serum lactate (OR 1.15 per mmol/L; 95% CI: 1.01-1.30; p = 0.037), prolonged ventilator days (OR 1.15 per day; 95% CI: 1.09-1.21; p < 0.001), lower PaO2/FiO2 ratio (OR 1.00 per unit; 95% CI: 1.00-1.00; p = 0.006), and shorter ICU length of stay (OR 0.91 per day; 95% CI: 0.87-0.96; p < 0.001) as independent predictors of in‑hospital mortality. These findings highlight the prognostic importance of simple bedside measures, core laboratory indices, and markers of illness trajectory. Together, they form a pragmatic panel of universally available variables that reliably stratify mortality risk among septic ICU patients in Palestine. Embedding these predictors into admission checklists and electronic health record alerts could strengthen early risk recognition, guide triage decisions, and optimize allocation of scarce resources in resource‑limited settings.脓毒症（Sepsis）仍是重症患者发病与死亡的主要诱因之一，在诊断能力与治疗手段受限的资源匮乏环境中尤为如此。本研究旨在筛选可独立预测巴勒斯坦西岸三级医疗重症监护病房（ICU）收治的成人脓毒症患者院内死亡风险的临床、实验室及治疗相关因素。本研究纳入2018年1月至2023年12月期间，某大型三级转诊医院医疗ICU收治的326名18~80岁成人脓毒症患者，开展回顾性队列研究。院内死亡率为41.4%（n=135）。采用多变量logistic回归模型分析院内死亡的预测因素。多变量logistic回归分析显示，以下因素为院内死亡的独立预测因子：年龄增长（优势比[OR] 1.03/年；95%置信区间[CI] 1.01~1.06；p=0.010）、心血管疾病（OR 2.66；95%CI 1.17~6.04；p=0.020）、心率升高（OR 1.03/次/分钟；95%CI 1.01~1.04；p<0.001）、尿量减少（OR 1.00/mL；95%CI 1.00~1.00；p=0.035）、血清乳酸水平升高（OR 1.15/mmol/L；95%CI 1.01~1.30；p=0.037）、机械通气时长延长（OR 1.15/天；95%CI 1.09~1.21；p<0.001）、动脉血氧分压/吸入氧分数（PaO2/FiO2）降低（OR 1.00/单位；95%CI 1.00~1.00；p=0.006）以及ICU住院时长缩短（OR 0.91/天；95%CI 0.87~0.96；p<0.001）。本研究结果凸显了简易床旁检测指标、核心实验室检验指标及疾病进程标志物的预后价值。上述指标共同组成一套兼具实用性与普适性的变量组合，能够可靠地对巴勒斯坦脓毒症ICU患者的死亡风险进行分层。将这些预测因子嵌入入院核查清单与电子健康记录预警系统，可强化早期风险识别能力、指导分诊决策，并在资源匮乏环境下优化稀缺医疗资源的配置。