Platelet indices are inexpensive, easily accessible parameters and potentially useful prognostic indicators in sepsis. In this study we explore the differences in platelet indices and their kinetics between sepsis survivors and non-survivors. A retrospective cohort-study of 97 cases of culture-positive sepsis at a tertiary-care center in North India. Demographics, clinical and laboratory parameters at admission were assessed. Platelet count (PLT), mean-platelet-volume (MPV), platelet-distribution-width (PDW) and plateletcrit (PCT) on admission, and third, fifth and last days of hospitalization were analyzed. Fractional change in platelet indices (ΔMPV_72h, ΔPDW_72h, ΔPCT_72h, and ΔPLT_72h) by day-3 were calculated. Unpaired and paired t-tests were used to compare survivors with non-survivors, and to study the change in platelet indices with time. Logistic regression was used for multivariate analysis. ROC-curves and optimum cut-offs to predict mortality were obtained. There were 64 survivors. Non-survivors had significantly higher ΔMPV_72h, ΔPDW_72h, day-1 MPV and PDW, and lower ΔPLT_72h. MPV and PDW increased, and PLT decreased with time among non-survivors. Trends were reversed in survivors. Only MPV and PDW showed significant change by day-3. Both were independent predictors of mortality on multivariate analysis, alongside ΔMPV_72h and ΔPLT_72h. On ROC analysis, MPV, PDW, ΔMPV_72h, ΔPDW_72h and ΔPLT_72h effectively predicted mortality. Cut-off for MPV was 10.25 fL (sensitivity = 93.9%, specificity = 60.9%), and PDW, 12.6% (sensitivity = 84.8%, specificity = 51.6%). A rise in MPV and a fall in PLT was associated with mortality in this study. MPV and PDW values at admission are effective predictors of mortality and may be used in conjunction with traditional parameters.

血小板指数是价格低廉、易于获取的参数，是脓毒症潜在有用的预后指标。在这项研究中，我们探讨了脓毒症幸存者和非幸存者之间血小板指数及其动力学的差异。在印度北部的三级医疗中心对 97 例培养阳性脓毒症进行的回顾性队列研究。评估入院时的人口统计学、临床和实验室参数。分析入院时的血小板计数（PLT）、平均血小板体积（MPV）、血小板分布宽度（PDW）和血小板比容（PCT），以及住院的第三天、第五天和最后一天。血小板指数的分数变化（ΔMPV _72h、 ΔPDW _72h、ΔPCT _72h和 ΔPLT _72h) 计算第 3 天。未配对和配对 t 检验用于比较幸存者与非幸存者，并研究血小板指数随时间的变化。逻辑回归用于多变量分析。获得了预测死亡率的 ROC 曲线和最佳截止值。有64名幸存者。非幸存者具有显着更高的 ΔMPV _72h、 ΔPDW _72h、第 1 天 MPV 和 PDW，以及更低的 ΔPLT _72h。在非幸存者中，MPV 和 PDW 增加，PLT 随时间下降。幸存者的趋势发生了逆转。只有 MPV 和 PDW 在第 3 天显示出显着变化。两者都是多变量分析中死亡率的独立预测因子，还有 ΔMPV _72h和 ΔPLT _72h。在 ROC 分析中，MPV、PDW、ΔMPV _72h、ΔPDW _72h和 ΔPLT _72h有效预测死亡率。MPV 的临界值为 10.25 fL（敏感性 = 93.9%，特异性 = 60.9%），PDW 为 12.6%（敏感性 = 84.8%，特异性 = 51.6%）。在这项研究中，MPV 的上升和 PLT 的下降与死亡率相关。入院时的 MPV 和 PDW 值是死亡率的有效预测指标，可与传统参数结合使用。