探索 PIM 3 评分对临床决策的影响:一项单中心研究

Hareesh, Abdul Haseeb, Sharanabasappa Malashetty
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摘要

目的:在不断变化的医疗保健领域,追求临床决策的精确性至关重要。儿科死亡率指数 3(PIM 3)评分已成为预测重症儿童死亡风险的重要指标,影响着儿科重症监护室的医疗选择。研究方法这项单中心研究在[贵机构名称]进行,采用[研究设计]分析 PIM 3 评分对儿科重症监护室临床决策的影响。研究对象包括[人数]名年龄在 1 个月至 18 岁之间的儿科重症患者,研究数据来自电子健康记录。研究采用了包括相关性和回归模型在内的统计分析方法,以探讨各种关系并确定影响临床决策的因素。结果:在 581 名患者中,性别分布和年龄分布各不相同,诊断类别与结果之间存在显著关联。与非幸存者相比,幸存者的 PIM 3 分数较低。与预后相关的概率分数显示出不同的模式,强调了 PIM 3 分数的预测作用。结论:研究表明,PIM 3 分数越高,死亡风险越高,这对儿科重症患者的临床决策具有指导意义。研究结果将理论与实践相结合,为加强床旁决策和提高护理质量提供了宝贵的见解。了解背景因素对于全面理解决策过程至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EXPLORING THE IMPACT OF PIM 3 SCORE ON CLINICAL DECISION-MAKING: A SINGLE-CENTER STUDY
Objective: In the dynamic landscape of healthcare, the quest for precision in clinical decision-making is pivotal. The Pediatric Index of Mortality 3 (PIM 3) score has emerged as a crucial metric in predicting mortality risk among critically ill children, shaping medical choices in pediatric intensive care units. Methods: This single-center study, conducted at [Your Institution's Name], employed a [research design] to analyze the impact of the PIM 3 score on clinical decision-making within the pediatric intensive care unit. The study included [number] critically ill pediatric patients aged 1 mo to 18 y, with data extracted from electronic health records. Statistical analyses, including correlation and regression models, were applied to explore relationships and identify factors influencing clinical decision-making. Results: Among the 581 patients, gender distribution and age demographics varied, with notable associations between diagnostic categories and outcomes. Survivors exhibited lower PIM 3 scores compared to nonsurvivors. Probability scores related to outcomes revealed distinct patterns, emphasizing the predictive utility of the PIM 3 score. Conclusion: The study demonstrated a correlation between higher PIM 3 scores and increased mortality risk, guiding clinical decision-making in critically ill pediatric patients. Bridging theory and practice, the findings provide valuable insights for enhancing bedside decision-making and improving the quality of care. Acknowledging contextual factors is crucial for a comprehensive understanding of decision-making processes.
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