出现急性加重的慢性阻塞性肺病患者无创通气失败的风险因素

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摘要

背景:无创通气(NIV)是治疗慢性阻塞性肺病(AECOPD)急性加重的一线疗法,但有些患者病情未见好转,需要进行有创通气,从而导致高死亡率。我们开展了一项研究,以确定与这些患者 NIV 结果相关的风险因素。确定 NIV 失败的预测参数有助于及时干预和预防死亡:2022 年 7 月至 12 月,我们在卡拉奇的一家三甲医院开展了一项准单臂研究。我们研究了内科和内科重症监护室收治的 170 名急性呼吸衰竭慢性阻塞性肺疾病患者,其中男性 80 人,女性 90 人,年龄在 40 岁以上和 80 岁以下:在研究的 170 名 AECOPD 患者中,38% 的患者出现了 NIV 失败,61% 的患者 NIV 成功。在 NIV 失败组中,38.46% 的患者在住院期间死亡。象限浸润、咳嗽反射弱、意识水平低、需氧量多、pH 值低、呼吸频率快和血培养阳性(p 值<0.001)等大多数因素与 NIV 失败和死亡率有显著相关性,而其他无显著相关性的因素(如合并疾病)仍会导致 NIV 失败。在66名NIV失败的患者中,56%的患者立即出现NIV失败,33%的患者出现早期NIV失败,11%的患者出现晚期NIV失败:大多数已确定的风险因素都能明显预测 NIV 失败,这表明它们可以作为有用的早期指标来指导干预措施。即使是不显著的因素也与 NIV 失败有一定的关系。对其他预测因素的进一步研究可以优化 NIV 的结果,降低 AECOPD 的死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Factors of Non-Invasive Ventilation Failure in COPD Patients Presenting with Acute Exacerbation
Background: Non-invasive ventilation (NIV) is the first-line management for acute exacerbation of COPD (AECOPD), but some patients don’t improve and need invasive ventilation, leading to high mortality. We conducted a study to determine risk factors associated with NIV outcomes in these patients. Identifying predictive parameters of NIV failure could help timely intervention and prevent mortality. Methods: A Quasi Single Arm study was conducted at a tertiary care Hospital, in Karachi, from July to December 2022. We studied 170 COPD patients admitted to Medicine Department and Medical ICU with acute respiratory failure, among those 170 patients 80 were male and 90 were female, aged above 40 and below 80 years. Results: Among 170 AECOPD patients studied, 38% experienced NIV failure, while 61% had NIV success. In the NIV failure group, 38.46% of patients died in hospital. Most factors like quadrant infiltrate, weak cough reflex, low consciousness level, more requirements of oxygen, low pH, more respiratory rate, and positive blood cultures (p-value <0.001) were significantly associated with NIV failure and mortality, while others with no significant association still contributed towards NIV failure, like co-morbidities. Out of the 66 patients with NIV failure, 56% experienced immediate failure, 33% had early NIV failure, and 11% had late NIV failure. Conclusion: Most identified risk factors significantly predicted NIV failure, suggesting they may serve as useful early indicators to guide intervention. Even non-significant factors still exhibited some association with NIV failure. Further research exploring additional predictors could optimize NIV outcomes and reduce mortality from AECOPD.
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