卡普里尼风险模型在预防肾病综合征患者深静脉血栓形成中的应用。

IF 1.7 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL American journal of translational research Pub Date : 2024-10-15 eCollection Date: 2024-01-01 DOI:10.62347/IATR6257
Dayu Xu, Wenfang Zhang, Xiaojing Wang, Xinjie Geng
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引用次数: 0

摘要

目的探讨Caprini模型在预防肾病综合征(NS)患者深静脉血栓形成(DVT)中的有效性,为降低NS患者的不良预后提供参考:方法:对2021年1月至2023年1月在淄博市中心医院接受治疗的150例NS患者进行回顾性研究。这些患者的临床数据均来自医院的病历管理系统。患者被分为两组:观察组(75 例)在入院时接受卡普里尼风险评估,并根据其风险水平设计干预措施;常规组(75 例)接受常规干预措施。比较了评估组和常规组的临床数据,包括深静脉血栓的发生率、肾功能、炎症、并发症以及对医务人员工作的满意度:观察组深静脉血栓发生率(6.67%)明显低于常规组(17.33%)(P < 0.05)。术后三天,两组患者的大腿围度差异均有所增加。但随着时间的推移,差异逐渐缩小,观察组的数值一直较低(P < 0.05)。术后第五天,与常规组相比,观察组的 D-D 水平较低,PT 水平较高(均为 P <0.05)。干预前,两组 24 小时尿蛋白、BUN、SCr、WBC、Hs-CRP 和 IL-6 水平相似(均 P > 0.05)。干预后,两组的肾功能和炎症均有所改善,观察组的改善程度更大(P < 0.05)。此外,观察组的并发症(深静脉血栓除外)发生率(8.00%)低于常规组(21.33%)(P < 0.05)。观察组患者对护理和治疗的满意度也更高:Caprini评分是指导NS患者预测性护理的有效工具,可显著降低深静脉血栓的风险。此外,根据 Caprini 评分实施基于风险的干预措施可增强肾功能,降低并发症的发生率,提高患者对护理和治疗的满意度。
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Application of the Caprini risk model in preventing deep venous thrombosis formation in patients with nephrotic syndrome.

Objective: To explore the effectiveness of the Caprini model in preventing Deep venous thrombosis (DVT) in patients with nephrotic syndrome (NS), in order to provide a reference for reducing poor prognosis in patients with NS.

Methods: A retrospective study was conducted on 150 cases of NS patients treated at Zibo Central Hospital from January 2021 to January 2023. Their clinical data were collected from the medical record management system of the hospital. The patients were divided into two groups: an observation group (75 patients) who received Caprini risk evaluation at admission and designed interventions based on their risk level, and a routine group (75 patients) who received conventional interventions. Clinical data, including the occurrence of DVT, renal function, inflammation, complications and satisfaction with the work of medical staff, were compared between the evaluation and routine groups.

Results: The incidence of DVT in the observation group (6.67%) was significantly lower than that in the Routine group (17.33%) (P < 0.05). Three days after surgery, the difference in thigh circumference increased in both groups. However over time, the difference decreased, with the observation group consistently showing lower values (P < 0.05). On the fifth day after surgery, the D-D level was lower, and PT level higher in the observation group compared to the Routine group (both P < 0.05). Before intervention, 24 h urinary protein, BUN, SCr, WBC, Hs-CRP and IL-6 levels were similar between the two groups (all P > 0.05). After intervention, renal function and inflammation improved in both groups, with greater improvement observed in the observation group (P < 0.05). Additionally, the incidence of complications (except DVT) in the observation group (8.00%) was lower than in the Routine group (21.33%) (P < 0.05). Patients in the observation group also reported higher satisfaction with nursing and treatment.

Conclusion: The Caprini score is an effective tool for guiding predictive care in NS patients, significantly reducing the risk of DVT. Additionally, implementing risk-based interventions according to the Caprini score enhances renal function, decreases the incidence of complications, and improves patient satisfaction with nursing and treatment.

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American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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