哪些人口统计学和临床特征能更好地预测创伤患者的住院时间?一项基于注册表的单中心回顾性研究。

Q2 Medicine Medical Journal of the Islamic Republic of Iran Pub Date : 2024-02-20 eCollection Date: 2024-01-01 DOI:10.47176/mjiri.38.18
Armin Khavandegar, Vali Baigi, Mohammadreza Zafarghandi, Vafa Rahimi-Movaghar, Reza Farahmand-Rad, Seyed-Mohammad Piri, Mahgol Sadat Hassan Zadeh Tabatabaei, Khatereh Naghdi, Payman Salamati
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引用次数: 0

摘要

背景:住院时间过长可能导致医院获得性并发症(包括感染)增加,并增加医疗系统和患者的成本。少数研究评估了各种临床和人口统计学变量对患者住院时间(LOS)的影响。因此,本研究旨在探讨各种变量对创伤患者住院时间的影响:这是一项以登记为基础的回顾性单中心研究,研究对象是伊朗克尔曼沙阿的主要创伤中心 Taleqani 接收的创伤患者。我们开发了一个最小数据集(MDS)来检索人口统计学和临床方面的创伤数据。我们使用单变量和多元量级回归模型来评估独立变量(包括 ISS、GCS 和 SBP)与 LOS 之间的关联。LOS 实际上是指从入院到出院的时间间隔。LOS 持续时间以中位数(Q1 至 Q3)小时表示。结果本研究共纳入 2 708 例病例,其中 1989 例(73.4%)为男性。住院时间中位数为 87.00(48.00 至 144.00)小时。在对收缩压(SBP)、格拉斯哥昏迷量表(GCS)、受伤严重程度评分(ISS)和受伤原因进行调整后,脊柱/背部和多发性创伤这两个特征与较高的生命周期显著相关,分别比四肢创伤多出43(20.5至65.48)小时和24(10.39至37.60)小时(P < 0.001和P = 0.005)。此外,因道路交通伤(RTI)入院的患者出院时间分别比跌倒和切割/刺伤患者晚 16 和 41 小时(P = 0.008 和 < 0.001)。此外,与 1≤ISS≤8 的患者相比,ISS≥16 和 9≤ISS≤15 的患者的 LOS 中位数分别多出 51(21 至 80)和 34(22 至 45)小时(P < 0.001)。入院时SBP≤90 mmhg的创伤患者比SBP>90 mmhg的患者住院时间中位数多41(20至62)小时(P<0.001)。最后,GCS 为 9 至 12 和 GCS 为 3 至 8 的患者比 GCS 为 13 至 15 的患者分别多住院 39 小时和 266 小时(P < 0.001):结论:确定延长住院时间的独立决定因素可能有助于在入院时更好地识别高危患者。创伤护理提供者应考虑以下导致 LOS 延长的风险因素:较高的 ISS、较低的 GCS 和 SBP、多发性创伤或脊柱损伤,以及跌倒或切割/刺伤导致的创伤。因此,通过对相关影响因素进行干预,可能会减少延长生命周期的影响。
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Which Demographic and Clinical Characteristics Can Better Predict the Length of Hospital Stay among Traumatic Patients? A Retrospective Single-Center, Registry-Based Study.

Background: Lengthy hospitalization may lead to an increased hospital-acquired patient complication, including infections, as well as increased costs for both healthcare systems and patients. A few studies evaluated the impact of various clinical and demographic variables on patients' length of stay (LOS). Hence, in this study, we aimed to investigate the impact of various variables on traumatic patients' LOS.

Methods: This is a retrospective single-center, registry-based study of traumatic patients admitted to Taleqani, a major trauma center in Kermanshah, Iran. A Minimal Dataset (MDS) was developed to retrieve traumatic data on demographic and clinical aspects. We used univariable and multiple quantile regression models to evaluate the association between independent variables, including ISS, GCS, and SBP, with LOS. LOS is practically defined as the time interval between hospital admission and discharge. The LOS durations have been presented as median (Q1 to Q3) hours. A p-value of <0.05 was considered statistically significant.

Results: A total of 2708 cases were included in this study, with 1989 (73.4%) of them being male. The median LOS was 87.00 (48.00 to 144.00) hours. When adjusted for systolic blood pressure (SBP), Glasgow Coma Scale (GCS), Injury Severity Score (ISS), and cause of injury, the two characteristics of spine/back and multiple trauma were significantly associated with the higher LOS, with 43 (20.5 to 65.48) and 24 (10.39 to 37.60) hours more than extremities (P < 0.001 and P = 0.005). Besides, the patients admitted due to road traffic injuries (RTI) were discharged 16 and 41 hours later than falling and cutting/stabbing (P = 0.008 and < 0.001, respectively). Moreover, the patients with ISS≥16 and 9≤ISS≤15 had a median of 51 (21 to 80) and 34 (22 to 45) LOS hours more, compared to 1≤ISS≤8, respectively (P < 0.001). The trauma cases experiencing SBP ≤ 90 mmhg on admission had a median of 41 (20 to 62) hours more hospitalization period than those with SBP> 90 mmhg (P < 0.001). At last, the patients with GCS of 9 to 12 and GCS of 3 to 8 were hospitalized for 39 and 266 hours more than GCS of 13 to 15 (P < 0.001).

Conclusion: Determining independent determinants of prolonged LOS may lead to better identifying at-risk patients on admission. Trauma care providers should consider the following risk factors for increased LOS: higher ISS, Lower GCS, and SBP, multiple trauma or spine injury, and trauma resulting from falling or cutting/stabbing. As a result, the impact of extended LOS might be reduced by intervening in the related influencing factors.

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CiteScore
2.40
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0.00%
发文量
90
审稿时长
8 weeks
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