Bhuiyan Abdullah T, Hossain Mosharaf, Khan Miftahul J, Hossain Bablu, Sultana Shamim A, Sharmin Farzana, Akhtaruzzaman Akm
Department of Anaesthesia, Analgesia and Intensive Care Medicine, Dhaka Medical College Hospital, Dhaka, BGD.
Department of Anaesthesia, National Institute of Cancer Research and Hospital, Dhaka, BGD.
Cureus. 2023 May 26;15(5):e39529. doi: 10.7759/cureus.39529. eCollection 2023 May.
COVID-19 infection caused by the SARS-Cov-2 virus may result in severe acute respiratory failure and require respiratory support in the ICU.
The present study was designed to evaluate the role of the respiratory rate oxygenation (ROX) index in the assessment of the adequacy of non-invasive respiratory support the COVID-19 patients with acute respiratory failure and observe its outcome.
This cross-sectional, observational study was conducted between October 2020 and September 2021 in the Department of Anaesthesia, Analgesia, and Intensive Care Medicine of Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh. A total of 44 patients with a confirmed diagnosis of COVID-19 with acute respiratory failure were enrolled in this study based on inclusion and exclusion criteria. Informed written consent was taken from the patient/patient's guardian. Each patient underwent detailed history taking through physical examination and relevant investigations. All necessary information were recorded in a separate case record form. All the patients receiving high-flow nasal cannula (HFNC) were assessed at two hours, six hours, and 12 hours for variables of the ROX Index. The team of respective physicians was applied responsibly for determining HFNC failure to discontinue or deescalate respiratory support as a part of continuous positive airway pressure (CPAP) ventilation success. Each selected patient was observed for the duration of different types of respiratory support. CPAP failure or success, progression to mechanical ventilation, and data were collected from individual medical records. The patients who were successfully weaned from CPAP were recorded. The diagnostic accuracy of the ROX index was determined.
The mean age of the patients was 65±8.80 years with a majority in the age group 61-70 years (36.4%). A male predominance was observed with 79.5% male and 20.5% female. Of all, HFNC failure was observed in 29.5% of patients. Oxygen saturation (SpO2), respiratory rate (RR), and ROX index were statistically worse at the sixth and 12th hour of initiation of HFNC (P<0.05). At a cut-off value of 3.90, the ROC curve showed 90.3% sensitivity and 76.9% specificity in predicting HFNC success (the area under the curve (AUC) was 0.909). Similarly, 46.2% of patients had CPAP failure. SpO2, RR, and ROX index were found statistically worse among those patients at the sixth and 12th hour of CPAP therapy (P<0.05). The ROC curve showed 85.7% sensitivity and 83.3% specificity at a cut-off value of 2.64 in predicting CPAP success (the AUC was 0.881).
The ROX index's clinical score form, which does not require lab findings or sophisticated computation techniques, is its key benefit. The study findings recommend the use of the ROX index to predict the outcome of respiratory support in acute respiratory failure in COVID-19 patients.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的新型冠状病毒肺炎(COVID-19)感染可能导致严重急性呼吸衰竭,需要在重症监护病房(ICU)进行呼吸支持。
本研究旨在评估呼吸频率氧合(ROX)指数在评估COVID-19急性呼吸衰竭患者无创呼吸支持是否充分中的作用,并观察其结果。
本横断面观察性研究于2020年10月至2021年9月在孟加拉国达卡班加班杜·谢赫·穆吉布医科大学(BSMMU)麻醉、镇痛与重症医学科进行。根据纳入和排除标准,本研究共纳入44例确诊为COVID-19且伴有急性呼吸衰竭的患者。获得了患者/患者监护人的知情书面同意。通过体格检查和相关检查对每位患者进行详细的病史采集。所有必要信息均记录在单独的病例记录表中。对所有接受高流量鼻导管(HFNC)治疗的患者在开始治疗后的2小时、6小时和12小时评估ROX指数的各项变量。作为持续气道正压通气(CPAP)通气成功的一部分,由各自的医生团队负责确定HFNC失败以停止或降低呼吸支持。对每位入选患者进行不同类型呼吸支持持续时间的观察。收集CPAP失败或成功、进展为机械通气的数据以及来自个人病历的数据。记录成功脱机的患者。确定ROX指数的诊断准确性。
患者的平均年龄为65±8.80岁,大多数患者年龄在61 - 70岁之间(36.4%)。观察到男性占优势,男性占79.5%,女性占20.5%。总体而言,29.5%的患者出现HFNC失败。在开始HFNC治疗后的第6小时和第12小时,氧饱和度(SpO2)、呼吸频率(RR)和ROX指数在统计学上较差(P<0.05)。在截断值为3.90时,ROC曲线显示预测HFNC成功的敏感性为90.3%,特异性为76.9%(曲线下面积(AUC)为0.909)。同样,46.2%的患者出现CPAP失败。在CPAP治疗的第6小时和第12小时,这些患者的SpO2、RR和ROX指数在统计学上较差(P<0.05)。在截断值为2.64时,ROC曲线显示预测CPAP成功的敏感性为85.7%,特异性为83.3%(AUC为0.881)。
ROX指数的临床评分形式不需要实验室检查结果或复杂的计算技术,这是其主要优点。研究结果建议使用ROX指数来预测COVID-19患者急性呼吸衰竭时呼吸支持的结果。