Qureshi Sajida, Abbasi Waqas Ahmad, Jalil Hira Abdul, Mughal Saba, Quraishy Muhammad Saeed
Dow Medical College, Dow University of Health Sciences, Karachi 74200, Pakistan.
School of Public Health, Dow University of Health Sciences, Ojha Campus, Karachi 75300, Pakistan.
Clin Pract. 2024 Oct 6;14(5):2071-2079. doi: 10.3390/clinpract14050163.
Esophageal cancer (EC) remains a significant health challenge in South Asia, with poor prognosis despite advancements in diagnostics and treatment. Identifying and validating prognostic factors is essential for improving patient outcomes. A prospective study was conducted with 146 biopsy-confirmed EC patients at the Dr. Ruth K.M. Pfau Civil Hospital, Karachi, Pakistan. Clinical and laboratory data were collected and analyzed using descriptive statistics, receiver operating characteristic (ROC) analysis, and the Chi-square test. Survival outcomes were assessed using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models for univariate and multivariate regression analyses, with statistical significance set at ≤ 0.05. Bivariate analysis showed significant associations of the neutrophil lymphocyte ratio (NLR) ( = 0.017), C-reactive protein to albumin ratio (CAR) ( = 0.033), red cell distribution width to platelet ratio (RPR) ( = 0.020), and systemic immune-Inflammation index (SII) ( = 0.009) with patient survival. Univariate analysis identified tumor length >10 cm ( = 0.016), T4 stage ( = 0.015), metastasis ( < 0.001), surgery not performed ( < 0.001), and SII ( = 0.022) as significant factors for survival, with higher SII linked to poorer overall survival ( = 0.020). Interestingly, in the multivariate model, only metastasis ( < 0.001) and surgery not performed ( = 0.011) remained significant. Immuno-inflammatory markers may be less pertinent prognostic factors for EC in the South Asian population.
食管癌(EC)在南亚仍然是一项重大的健康挑战,尽管诊断和治疗取得了进展,但预后仍然很差。识别和验证预后因素对于改善患者预后至关重要。在巴基斯坦卡拉奇的露丝·K.M. 普法乌博士市民医院,对146例经活检确诊的EC患者进行了一项前瞻性研究。收集临床和实验室数据,并使用描述性统计、受试者工作特征(ROC)分析和卡方检验进行分析。使用Kaplan-Meier曲线、对数秩检验和Cox比例风险模型评估生存结果,进行单变量和多变量回归分析,设定统计学显著性为≤0.05。双变量分析显示中性粒细胞淋巴细胞比值(NLR)(P = 0.01)、C反应蛋白与白蛋白比值(CAR)(P = 0.033)、红细胞分布宽度与血小板比值(RPR)(P = 0.020)和全身免疫炎症指数(SII)(P = 0.009)与患者生存存在显著关联。单变量分析确定肿瘤长度>10 cm(P = 0.016)、T4期(P = 0.015)、转移(P < 0.001)、未进行手术(P < 0.001)和SII(P = 0.022)是生存的显著因素,SII越高,总生存率越低(P = 0.020)。有趣的是,在多变量模型中,只有转移(P < 0.001)和未进行手术(P = 0.011)仍然具有显著性。免疫炎症标志物可能不是南亚人群中EC的相关预后因素。