The Association of Pre-operative Serum Albumin Levels and Post-operative In-Hospital Death in Patients Undergoing Gastrointestinal Surgeries in Thailand: A Retrospective Cohort Study.

IF 1.9 Q3 PHARMACOLOGY & PHARMACY Drugs - Real World Outcomes Pub Date : 2023-06-01 DOI:10.1007/s40801-023-00364-4
Porapong Petch-In, Surasak Saokaew, Pochamana Phisalprapa, Piyameth Dilokthornsakul
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引用次数: 2

Abstract

Background: Pre-operative hypoalbuminemia is known to predict negative outcomes for patients undergoing major surgeries. However, various cut-off points for starting exogenous albumin have been recommended.

Objective: This study investigated the association between pre-operative severe hypoalbuminemia, in-hospital death, and length of hospital stay in patients undergoing gastrointestinal surgery.

Methods: A retrospective cohort study using a database analysis was undertaken on hospitalized patients who underwent major gastrointestinal surgery. The pre-operative serum albumin level was classified into three groups: severe hypoalbuminemia (< 2.0 mg/dL) and non-severe hypoalbuminemia (≥ 2.0-3.4 g/dL) and normal level (3.5-5.5 g/dL). To compare between different cut-offs, a sensitivity analysis using another albumin level classification as severe hypoalbuminemia (< 2.5 mg/dL) and non-severe hypoalbuminemia (≥ 2.5-3.4 g/dL) and normal level (3.5-5.5 g/dL) was applied. The primary outcome was post-operative in-hospital death. Propensity-score adjusted regression analyses were applied.

Results: A total of 670 patients were included. Their average age was 57.4 ± 16.3 years, and 56.1% were men. Only 59 patients (8.8%) had severe hypoalbuminemia. Overall, a total of 93 in-hospital deaths (13.9%) occurred among all included patients, but there were 24/59 (40.7%) deaths among patients with severe hypoalbuminemia, 59/302 (19.5%) deaths among patients with non-severe hypoalbuminemia, and 10/309 (3.2%) deaths among patients with normal albumin level. The adjusted odds ratio for post-operative in-hospital death comparing patients with severe hypoalbuminemia and patients with normal albumin level was 8.11 (3.31-19.87; p < 0.001), while the odds ratio for in-hospital death comparing patients with non-severe and patients with normal albumin level was 3.89 (1.87-8.10; p < 0.001). A sensitivity analysis showed similar findings, the odds ratio for in-hospital death for severe hypoalbuminemia (cut-off as < 2.5 g/dL) was 7.44 (3.38-16.36; p < 0.001), while the odds ratio for in-hospital death for severe hypoalbuminemia (cut-off as 2.5-3.4 g/dL) was 3.02 (1.40-6.52; p = 0.005).

Conclusions: Severe pre-operative hypoalbuminemia in patients undergoing gastrointestinal surgery was associated with an increased risk of in-hospital mortality. The risk of death for patients with severe hypoalbuminemia was relatively similar when using different cut-offs such as < 2.0 and <2.5 g/dL.

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泰国胃肠手术患者术前血清白蛋白水平与术后院内死亡的关系:一项回顾性队列研究
背景:已知术前低白蛋白血症可预测大手术患者的不良预后。然而,对于开始使用外源性白蛋白有不同的临界值。目的:本研究探讨胃肠手术患者术前严重低白蛋白血症、院内死亡和住院时间的关系。方法:采用数据库分析的回顾性队列研究,对住院接受胃肠大手术的患者进行回顾性队列研究。将术前血清白蛋白水平分为三组:重度低白蛋白血症组(结果:共纳入670例患者。平均年龄57.4±16.3岁,男性占56.1%。严重低白蛋白血症59例(8.8%)。总体而言,所有纳入的患者共发生93例院内死亡(13.9%),但严重低白蛋白血症患者有24/59例(40.7%)死亡,非严重低白蛋白血症患者有59/302例(19.5%)死亡,白蛋白水平正常患者有10/309例(3.2%)死亡。严重低白蛋白血症患者与白蛋白水平正常患者术后院内死亡的校正优势比为8.11 (3.31-19.87;P < 0.001),而非重症患者与白蛋白水平正常患者的院内死亡比值比为3.89 (1.87-8.10;P < 0.001)。敏感性分析显示了类似的结果,严重低白蛋白血症的院内死亡的优势比(截止为结论:接受胃肠手术的患者术前严重低白蛋白血症与院内死亡风险增加相关。当使用不同的截止值时,严重低白蛋白血症患者的死亡风险相对相似
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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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