登革热感染预后标志物的研究

Ronak Ajmera, S. V. Kulkarni
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引用次数: 0

摘要

引言:登革热等感染的早期诊断和预测对于更好的患者预后至关重要,因为它们有助于预测患者发展为严重登革热的可能性,从而允许更全面的患者分诊和治疗干预。本研究旨在确定预测登革热感染预后的临床、实验室和放射学因素。方法:这项前瞻性观察性研究包括250例登革热血清阳性患者。它们被分为登革热(DF)、登革出血热(DHF)和登革休克综合征(DSS);并在入院时和住院结束时进行评估,后者是对登革热发展为严重登革热的因素进行评估的。使用R 3.6.1对数据进行统计学分析,P<0.05被认为具有统计学意义。结果:最终诊断与收缩压(P=0.004)、最低血小板计数(P<0.001)、血清谷草转氨酶(P=0.001)、尿蛋白(P<0.001,结论:登革热的预后与血压、最低血小板计数、血清转氨酶、血清肌酐、蛋白尿、血尿、胸腔积液、腹痛、持续呕吐、皮疹、烦躁不安、浆膜炎和出血表现密切相关。监测这些参数有助于登革热的有效管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study of Prognostic Markers for Dengue Infection
Introduction: Early diagnosis and prognostication of infections such as dengue are crucial for better patient outcomes, as they help predict the likelihood of patients developing severe dengue, allowing more comprehensive patient triage and therapeutic interventions. This study aimed to determine clinical, laboratory, and radiological factors predicting prognosis in dengue infection. Methods: This prospective observational study included 250 patients seropositive for dengue. They were classified into dengue fever (DF), dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS); and evaluated both on admission and at the end of their hospital course, the latter was performed for factors responsible for the progression of dengue to severe dengue. Data were statistically analyzed using R 3.6.1, with P<0.05 considered statistically significant. Results: Final diagnosis correlated significantly with systolic blood pressure (P=0.004), lowest platelet count (P<0.001), serum glutamic-oxaloacetic transaminase (P=0.001), urine protein (P<0.001), urine red blood cells (P<0.001), pleural effusion (P=0.0064), serositis (P<0.001), vomiting (P<0.001), rash (P<0.001), restlessness (P<0.001), and bleeding manifestations (P<0.001). Conclusion: The prognosis of dengue is significantly associated with blood pressure, lowest platelet count, serum transaminases, serum creatinine, proteinuria, hematuria, pleural effusion, abdominal pain, persistent vomiting, rash, restlessness, serositis, and bleeding manifestations. Monitoring these parameters is useful for the effective management of dengue.
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