巴福萨姆地区医院糖尿病患者血液学特征和泌尿系统病理:一项横断面研究。

International Journal of Chronic Diseases Pub Date : 2020-05-28 eCollection Date: 2020-01-01 DOI:10.1155/2020/6161785
Arsene T Signing, Wiliane J T Marbou, Veronique P Beng, Victor Kuete
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引用次数: 0

摘要

背景:糖尿病是长期并发症的起源。目的:本研究旨在评估巴富萨姆地区医院糖尿病患者的血液学特征和泌尿系统病理。方法:这是一项横断面研究,于2018年8月至2019年5月在喀麦隆西部巴富萨姆地区医院进行。采用结构化问卷收集社会人口统计数据。一名训练有素的护士测量了身体和临床特征。空腹血糖测定采用葡萄糖计Accu-Chek Active系统。采用全自动全血细胞计数仪(Automatic full blood Counter)检测全血细胞计数(FBC),流式细胞术检测CD4、CD3、CD8 t细胞计数。结果:共纳入糖尿病患者455例,非糖尿病患者50例。糖尿病患者的平均年龄(56.94±14.33岁)高于非糖尿病患者(34.76±14.35岁)(p < 0.001)。已婚人群(χ 2 = 79.19, p < 0.001, df = 4)、家庭主妇和退休人群(χ 2 = 1117.38, p < 0.001, df = 37)、年龄(40岁及以上)(χ 2 = 79.11, p < 0.001, df = 3)与糖尿病状况有显著相关。与对照组相比,糖尿病患者出现尿冲动的几率为5.52 (p < 0.001, 95% CI = 2.15-14.22)。大多数血液学参数与糖尿病呈负相关,但不显著相关。二元logistic回归显示MCV (r = -0.251, OR = 0.778, 95% CI = 0.617-0.983);p = 0.035)和RDW-CV (r = -0.477, OR = 0.620, 95% CI = 0.454-0.848;P = 0.003)负向影响患糖尿病的概率。RDW-SD (r = 0.135, OR = 1.144, 95% CI = 1.014-1.291;P = 0.029)正影响患糖尿病的概率。结论:该研究揭示了糖尿病患者血液学和泌尿学特征的显著差异。针对糖尿病人群的研究和干预可以帮助缩小糖尿病并发症的差距。
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Haematological Features and Urologic Pathologies of Diabetic Subjects at Bafoussam Regional Hospital: A Cross-Sectional Study.

Background: Diabetes mellitus is at the origin of long-term complications.

Objective: This study is aimed at assessing the haematological features and urologic pathologies of diabetic individuals at Bafoussam Regional Hospital.

Methods: This was a cross-sectional study conducted from August 2018 to May 2019 in Bafoussam Regional Hospital, West Cameroon. A structured questionnaire was used to gather sociodemographic data. A trained nurse measured the physical and clinical features. Fasting plasma glucose was determined using the glucose meter Accu-Chek Active system. The full blood count (FBC) was carried out using Automatic full Blood Counter, and the CD4, CD3, and CD8 T-cell counts were determined using the flow cytometry method.

Results: There were 455 diabetic patients, and 50 nondiabetic patients were included. The mean age of diabetic patients (56.94 ± 14.33 years) was higher compared to that of nondiabetic individuals (34.76 ± 14.35 years) (p < 0.001). There was a significant relationship between married individuals (χ 2 = 79.19, p < 0.001, and df = 4), housewife and retired (χ 2 = 1117.38, p < 0.001, and df = 37), old age (40 years and above) (χ 2 = 79.11, p < 0.001, and df = 3), and diabetes status. Diabetic patients had an odds of 5.52 to experience a urinary urge as compared to the controls (p < 0.001, 95% CI = 2.15-14.22). The majority of haematological parameters were negatively but not significantly correlated with diabetes. Binary logistic regression shows that MCV (r = -0.251, OR = 0.778, and 95% CI = 0.617-0.983; p = 0.035) and RDW-CV (r = -0.477, OR = 0.620, and 95% CI = 0.454-0.848; p = 0.003) negatively influence the probability of having diabetes. RDW-SD (r = 0.135, OR = 1.144, and 95% CI = 1.014-1.291; p = 0.029) positively influences the probability of having diabetes.

Conclusion: This study revealed a significant haematological and urological profile difference according to diabetes status. Research and interventions targeted at diabetic population could help close gaps in diabetes complications.

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