The desat-max in 2-chair test appears to be a worthwhile parameter to identify sickness: An appraisal.

IF 2.7 4区 医学 Q3 IMMUNOLOGY
Parthasarathi Bhattacharyya, Wrick Chakraborty, Mintu Paul, Sayoni Sengupta, Dipanjan Saha
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Abstract

Background & objectives The 2-chair test (2CT) has recently been proposed as a cardiopulmonary reserve-specific assessment of post-exercise recovery response. The objective of this study was to find out the most appropriate parameter of 2CT to categorically differentiate between 'normal' and symptomatic diseased population. Methods In a prospective manner, we recruited a random cohort of symptomatic patients attending our outpatient department (OPD) with different respiratory diseases. We also selected another cohort of 'normal' persons from the willing attendants of the patients who had no symptoms and revealed no abnormality on chest X-ray and spirometry. Persons belonging to both groups were requested to mark their 'sickness' on a scale of 0 to 10 ('0' meaning none and '10' meaning maximum possible) under the PPSS (patient-perceived sickness score) and were subjected to perform 2CT. All the test variables related to pulse rate and peripheral capillary oxygen saturation (SpO2) changes were noted for both groups. The 'symptomatic' and 'normal' persons were compared based on the 2CT variables to find the well-performing discriminatory parameter. Results The comparison of 2CT variables of 419 patients and 30 'normal' controls revealed that the PR change max, maximum SpO2, minimum-SpO2, and desat-max can significantly differentiate between the two. However, the desat-max correlated to the PPSS best. The VIP plot, primary component analysis, and pattern-hunter representation further substantiated this. Interpretation & conclusions The desat-max appears to be a sensitive parameter to differentiate the normal from the symptomatic diseased population. Further research in this area is warranted.

在两张椅子上的最大距离测试似乎是一个有价值的参数来识别疾病:评估。
背景与目的2椅试验(2CT)最近被提议作为运动后恢复反应的心肺储备特异性评估。本研究的目的是寻找最合适的2CT参数来分类区分“正常”和有症状的患病人群。方法采用前瞻性方法,随机招募门诊就诊的不同呼吸系统疾病的有症状患者。我们还选择了另一组“正常”的人,他们是自愿的,没有症状,胸片和肺活量测定没有发现异常的患者的服务员。在PPSS(患者感知疾病评分)下,两组人都被要求在0到10的范围内标记他们的“疾病”(“0”表示没有,“10”表示最大可能),并进行2CT。两组均记录脉搏率和外周血毛细血管血氧饱和度(SpO2)变化相关的所有试验变量。根据2CT变量对“有症状者”和“正常人”进行比较,以寻找表现良好的区分参数。结果419例患者与30例“正常”对照者的2CT变量比较显示,PR变化max、最大SpO2、最小SpO2和desat-max具有明显的区别。然而,desat-max与PPSS的相关性最好。VIP图、主成分分析和模式猎人表示进一步证实了这一点。解释与结论最大密度似乎是区分正常人群和有症状的患病人群的敏感参数。这方面的进一步研究是有必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
2.40%
发文量
191
审稿时长
3-8 weeks
期刊介绍: The Indian Journal of Medical Research (IJMR) [ISSN 0971-5916] is one of the oldest medical Journals not only in India, but probably in Asia, as it started in the year 1913. The Journal was started as a quarterly (4 issues/year) in 1913 and made bimonthly (6 issues/year) in 1958. It became monthly (12 issues/year) in the year 1964.
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