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护理团队沟通与协作对重症监护病房重症肺炎患者治疗结局的影响。

Effects of nursing team communication and collaboration on treatment outcomes in intensive care unit patients with severe pneumonia.

作者信息

Wei Xi-Fang, Zhu Ting, Xia Qiao

机构信息

Department of Intensive Care Medicine, The first People's Hospital of Jiangxia District, Union Jiangnan Hospital Huazhong University of Science and Technology, Wuhan 430200, Hubei Province, China.

Respiratory and Critical Care Medicine, The first People's Hospital of Jiangxia District, Union Jiangnan Hospital Huazhong University of Science and Technology, Wuhan 430200, Hubei Province, China.

出版信息

World J Clin Cases. 2024 Jul 16;12(20):4166-4173. doi: 10.12998/wjcc.v12.i20.4166.

DOI:10.12998/wjcc.v12.i20.4166
PMID:39015892
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11235529/
Abstract

BACKGROUND

Severe pneumonia is a common severe respiratory infection worldwide, and its treatment is challenging, especially for patients in the intensive care unit (ICU).

AIM

To explore the effect of communication and collaboration between nursing teams on the treatment outcomes of patients with severe pneumonia in ICU.

METHODS

We retrospectively analyzed 60 patients with severe pneumonia who were treated at the ICU of the hospital between January 1, 2021 and December 31, 2023. We compared and analyzed the respiratory mechanical indexes [airway resistance (Raw), mean airway pressure (mPaw), peak pressure (PIP)], blood gas analysis indexes (arterial oxygen saturation, arterial oxygen partial pressure, and oxygenation index), and serum inflammatory factor levels [C-reactive protein (CRP), procalcitonin (PCT), cortisol (COR), and high mobility group protein B1 (HMGB1)] of all patients before and after treatment.

RESULTS

Before treatment, there was no significant difference in respiratory mechanics index and blood gas analysis index between 2 groups ( > 0.05). However, after treatment, the respiratory mechanical indexes of patients in both groups were significantly improved, and the improvement of Raw, mPaw, plateau pressure, PIP and other indexes in the combined group after communication and collaboration with the nursing team was significantly better than that in the single care group ( < 0.05). The serum CRP and PCT levels of patients were significantly decreased, and the difference was statistically significant compared with that of nursing group alone ( < 0.05). The levels of serum COR and HMGB1 before and after treatment were also significantly decreased between the two groups.

CONCLUSION

The communication and collaboration of the nursing team have a significant positive impact on respiratory mechanics indicators, blood gas analysis indicators and serum inflammatory factor levels in the treatment of severe pneumonia patients in ICU.

摘要

背景

重症肺炎是全球常见的严重呼吸道感染,其治疗具有挑战性,尤其是对于重症监护病房(ICU)的患者。

目的

探讨护理团队之间的沟通与协作对ICU中重症肺炎患者治疗效果的影响。

方法

我们回顾性分析了2021年1月1日至2023年12月31日期间在我院ICU接受治疗的60例重症肺炎患者。我们比较并分析了所有患者治疗前后的呼吸力学指标[气道阻力(Raw)、平均气道压(mPaw)、峰压(PIP)]、血气分析指标(动脉血氧饱和度、动脉血氧分压和氧合指数)以及血清炎症因子水平[C反应蛋白(CRP)、降钙素原(PCT)、皮质醇(COR)和高迁移率族蛋白B1(HMGB1)]。

结果

治疗前,两组患者的呼吸力学指标和血气分析指标无显著差异(>0.05)。然而,治疗后,两组患者的呼吸力学指标均显著改善,与护理团队沟通协作后的联合组在Raw、mPaw、平台压、PIP等指标的改善方面明显优于单组护理组(<0.05)。患者血清CRP和PCT水平显著降低,与单组护理组相比差异有统计学意义(<0.05)。两组治疗前后血清COR和HMGB1水平也显著降低。

结论

护理团队的沟通与协作对ICU中重症肺炎患者的呼吸力学指标、血气分析指标和血清炎症因子水平有显著的积极影响。

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本文引用的文献

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Severe pneumonia induces immunosenescence of T cells in the lung of mice.严重肺炎导致小鼠肺部 T 细胞免疫衰老。
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Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19.机器学习将未解决的继发性肺炎与包括 COVID-19 在内的重症肺炎患者的死亡率联系起来。
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