Casazzo Marialessia, Pisani Luigi, Md Erfan Uddin Rabiul Alam, Sattar Abdus, Mirzada Rashed, Zahed Abu Shahed Mohammad, Sarkar Shoman, Barua Anupam, Paul Sujat, Faiz Mohammad Abul, Sayeed Abdullah Abu, Leopold Stije J, Lee Sue J, Mukaka Mavuto, Hassan Chowdhury Mohammed Abul, Srinamon Ketsanee, Schilstra Marja, Dutta Asok Kumar, Grasso Salvatore, Schultz Marcus J, Ghose Aniruddha, Dondorp Arjen, Plewes Katherine
Department of Anesthesia and Intensive Care, University of Bari, 70124 Bari, Italy.
Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok 10400, Thailand.
Diagnostics (Basel). 2025 Jan 4;15(1):103. doi: 10.3390/diagnostics15010103.
We investigated the accuracy of predicting preload responsiveness by means of a passive leg raising test (PLR) using the perfusion index (PI) in critically ill patients showing signs of hypoperfusion in a resource-limited setting. We carried out a prospective observational single center study in patients admitted for sepsis or severe malaria with signs of hypoperfusion in Chattogram, Bangladesh. A PLR was performed at baseline, and at 6, 24, 48, and 72 h. Preload responsiveness assessed through PI was compared to preload responsiveness assessed through cardiac index (CI change ≥5%), as reference test. The primary endpoint was the accuracy of preload responsiveness prediction of PLR using PI at baseline; secondary endpoints were the accuracies at 6, 24, 48, and 72 h. Receiver operating characteristic (ROC) curves were constructed. The study included 34 patients admitted for sepsis with signs of hypoperfusion and 10 patients admitted for severe malaria. Of 168 PLR tests performed, 143 had reliable PI measurements (85%). The best identified PI change cutoff to discriminate responders from non-responders was 9.7%. The accuracy of PLR using PI in discriminating a preload responsive patient at baseline was good (area under the ROC 0.87 95% CI 0.75-0.99). The test showed high sensitivity and negative predictive value, with comparably lower specificity and positive predictive value. Compared to baseline, the AUROC of PLR using PI was lower at 6, 24, 48, and 72 h. Restricting the analysis to sepsis patients did not change the findings. In patients with sepsis or severe malaria and signs of hypoperfusion, changes in PI after a PLR test detected preload responsiveness. The diagnostic accuracy was better when PI changes were measured at baseline.
我们在资源有限的环境中,对出现低灌注迹象的危重症患者,通过使用灌注指数(PI)的被动抬腿试验(PLR)来研究预测前负荷反应性的准确性。我们在孟加拉国吉大港对因脓毒症或重症疟疾入院且有低灌注迹象的患者进行了一项前瞻性观察性单中心研究。在基线、6小时、24小时、48小时和72小时进行PLR。将通过PI评估的前负荷反应性与通过心脏指数评估的前负荷反应性(CI变化≥5%)进行比较,作为参考测试。主要终点是基线时使用PI的PLR预测前负荷反应性的准确性;次要终点是6小时、24小时、48小时和72小时的准确性。构建了受试者操作特征(ROC)曲线。该研究包括34名因脓毒症且有低灌注迹象入院的患者和10名因重症疟疾入院的患者。在进行的168次PLR测试中,143次有可靠的PI测量值(85%)。区分反应者与无反应者的最佳确定PI变化临界值为9.7%。基线时使用PI的PLR在区分前负荷反应性患者方面的准确性良好(ROC曲线下面积为0.87,95%CI为0.75 - 0.99)。该测试显示出高敏感性和阴性预测值,特异性和阳性预测值相对较低。与基线相比,6小时、24小时、48小时和72小时时使用PI的PLR的AUROC较低。将分析限制在脓毒症患者中并没有改变结果。在患有脓毒症或重症疟疾且有低灌注迹象的患者中,PLR测试后PI的变化检测到了前负荷反应性。在基线时测量PI变化时诊断准确性更好。