Neutrophil-Lymphocyte-Platelet Ratio as a Prognostic Marker in Rural ICU Patients: a Two-Year Cross-Sectional Study.

IF 0.7 4区 医学 Q4 MEDICAL LABORATORY TECHNOLOGY
Harshitha Reddy, Sunil Kumar, Sourya Acharya, Suprit Malali, Kaumudi Ayaluri, Venkat Reddy, Saket Toshniwal, Sanchit Chabra, Meraj Khan, Johar Iqbal, Mohammad S Akhter, Hina Rashid
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引用次数: 0

Abstract

Background: Early risk identification can improve treatment outcomes for sepsis patients, leading to timely intervention and better quality of life. An identification of certain parameters in such patients is necessary to determine the risk in such patients. The present study evaluated the predictive efficiency of various critical care assessment scores (CAS), including SOFA, qSOFA, APACHE IV, and biomarkers such as NLR and NLPR, for in-hospital mortality, the need for mechanical ventilation (MV), and hospital length of stay (LOS), as a risk for sepsis patients.

Methods: A total of 300 patients were included in the study; however, 70 mortalities were recorded. A significant difference was observed in the hematological and biochemical parameters between the survivors and non-survivors (p < 0.001). Associations between CAS, biomarkers, and clinical outcomes were assessed by binary logistic regression, while receiver operating characteristic (ROC) curve analysis was used to determine optimal cutoffs for mortality and MV prediction.

Results: SOFA was the best predictor of mortality (OR: 2.98, p < 0.001) and MV requirement (OR: 2.90, p < 0.001), with a cutoff of ≥ 9 having 94% sensitivity and 86% specificity for mortality. APACHE IV with a cutoff > 71, AUC: 0.840, and NLPR with a cutoff > 3.1, AUC: 0.716, also significantly predicted mortality. PaO2/FiO2 had a negative correlation with both mortality (OR: 0.022, p < 0.001) and MV need (OR: 0.004, p < 0.001). An inverse prediction of LOS with SOFA scores was seen (β = -0.191, p = 0.003), whereas higher PaO2/FiO2 ratios indicated prolonged hospitalization (β = 0.193, p = 0.011).

Conclusions: When predicting sepsis-related mortality and MV requirement, SOFA is a better option than other CAS and biomarkers. In setups with limited resources, NLPR is a helpful substitute. Important information about mortality risk and length of hospital stay is provided by PaO2/FiO2. However, to confirm these results in various contexts, more investigation is necessary.

中性粒细胞-淋巴细胞-血小板比率作为农村ICU患者的预后指标:一项为期两年的横断面研究。
背景:早期风险识别可以改善脓毒症患者的治疗效果,及时干预,提高生活质量。确定此类患者的某些参数对于确定此类患者的风险是必要的。本研究评估了各种重症监护评估评分(CAS)(包括SOFA、qSOFA、APACHE IV)和生物标志物(如NLR和NLPR)对院内死亡率、机械通气需求(MV)和住院时间(LOS)作为脓毒症患者风险的预测效率。方法:共纳入300例患者;然而,有70人死亡。血液学和生化指标在幸存者和非幸存者之间有显著差异(p < 0.001)。通过二元逻辑回归评估CAS、生物标志物和临床结果之间的相关性,而受试者工作特征(ROC)曲线分析用于确定死亡率和MV预测的最佳截止点。结果:SOFA是死亡率(OR: 2.98, p < 0.001)和MV需求(OR: 2.90, p < 0.001)的最佳预测因子,临界值≥9对死亡率的敏感性为94%,特异性为86%。截断> 3.1,AUC为0.716的NLPR和截断> 3.1,AUC为0.840的APACHE IV也能显著预测死亡率。PaO2/FiO2与死亡率(OR: 0.022, p < 0.001)和MV需求(OR: 0.004, p < 0.001)呈负相关。SOFA评分与LOS呈负相关(β = -0.191, p = 0.003),而PaO2/FiO2比值越高,住院时间越长(β = 0.193, p = 0.011)。结论:在预测败血症相关死亡率和MV需求时,SOFA是比其他CAS和生物标志物更好的选择。在资源有限的情况下,NLPR是一个有用的替代品。关于死亡风险和住院时间的重要信息由PaO2/FiO2提供。然而,要在各种情况下证实这些结果,还需要更多的调查。
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来源期刊
Clinical laboratory
Clinical laboratory 医学-医学实验技术
CiteScore
1.50
自引率
0.00%
发文量
494
审稿时长
3 months
期刊介绍: Clinical Laboratory is an international fully peer-reviewed journal covering all aspects of laboratory medicine and transfusion medicine. In addition to transfusion medicine topics Clinical Laboratory represents submissions concerning tissue transplantation and hematopoietic, cellular and gene therapies. The journal publishes original articles, review articles, posters, short reports, case studies and letters to the editor dealing with 1) the scientific background, implementation and diagnostic significance of laboratory methods employed in hospitals, blood banks and physicians'' offices and with 2) scientific, administrative and clinical aspects of transfusion medicine and 3) in addition to transfusion medicine topics Clinical Laboratory represents submissions concerning tissue transplantation and hematopoietic, cellular and gene therapies.
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