Clinical predictors of hypoxemia in patients of acute lower respiratory tract infections: A hospital-based study

Mansi Arora, P. Rai, P. Prasad
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Abstract

Aim: The aim of this study was to study clinical predictors of hypoxemia in patients of acute lower respiratory infections in children. Materials and Methods: An observational prospective study was conducted for 8 months in the General Pediatric Ward and Pediatric Intensive Care Unit of Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, a tertiary care hospital in Rohilkhand region. This is a hospital-based study. All children admitted with acute lower respiratory tract infections between the age group of 1 month to 59 months of age and diagnosed with pneumonia and bronchiolitis were enrolled and oxygen saturation of patients was recorded and compared with arterial blood gas. Results: A total of 40 patients were enrolled in the study. More than 90% cases of pneumonia and bronchiolitis presented with difficulty in breathing followed by rapid breathing as the next most common symptom. The least common symptom was noisy breathing and pain in abdomen. The most common signs observed were tachypnea which was present in 100% cases of mild, moderate, and severe hypoxemia. Tachypnea (91%), pallor (89%) and nasal flaring (84%), crepitations (added sounds), and subcostal retractions had better sensitivity for detecting hypoxemia. Conclusion: It was observed that a combination of clinical signs and symptoms can be used to predict hypoxemia when facilities of pulse oximetry and arterial blood gas analysis are not available, especially in low-resource settings.
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急性下呼吸道感染患者低氧血症的临床预测因素:一项基于医院的研究
目的:本研究旨在研究儿童急性下呼吸道感染患者低氧血症的临床预测因素。材料和方法:一项为期8个月的观察性前瞻性研究在Rohilkhand地区三级医院Bareilly的Shri Ram Murti Smarak医学科学研究所的普通儿科病房和儿科重症监护室进行。这是一项基于医院的研究。所有年龄在1月龄~ 59月龄,诊断为肺炎和细支气管炎的急性下呼吸道感染患儿均入组,记录患者血氧饱和度,并与动脉血气进行比较。结果:共有40例患者入组研究。超过90%的肺炎和细支气管炎患者表现为呼吸困难,其次是呼吸急促。最不常见的症状是呼吸急促和腹部疼痛。最常见的症状是呼吸急促,在100%的轻度、中度和重度低氧血症病例中均有出现。呼吸急促(91%)、面色苍白(89%)、鼻肿胀(84%)、心悸(附加音)和肋下回缩对检测低氧血症有更好的敏感性。结论:在缺乏脉搏血氧仪和动脉血气分析设备的情况下,特别是在资源匮乏的环境中,临床体征和症状的结合可用于预测低氧血症。
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