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一项使用外周血涂片检查和五分类血细胞计数器对老年人群血液学参数进行的横断面研究。

A Cross-Sectional Study of Hematological Parameters in the Geriatric Population Using Peripheral Smear Examination and a Five-Part Cell Counter.

作者信息

Pathak Bhavinee, Maimoon Sabiha

机构信息

Pathology, NKP (Narendra Kumar Prasadrao) Salve Institute of Medical Sciences, Nagpur, IND.

出版信息

Cureus. 2024 Apr 9;16(4):e57910. doi: 10.7759/cureus.57910. eCollection 2024 Apr.

DOI:10.7759/cureus.57910
PMID:38725795
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11081139/
Abstract

BACKGROUND

"Healthy aging" is a major public health challenge, as the prevalence and incidence of diseases are much higher in older people. Among them, diabetes mellitus, hypertension (HTN), and cardiovascular illnesses are the most prevalent chronic ailments. A complete blood count test can give an overall picture of a patient's health status because abnormal counts might indicate the presence of many different types of disease. Using advanced hematology analyzers, a typical microscopic examination of a peripheral blood smear can yield vital information about the clinical state of the patient. The objective of the study was to investigate the hematological parameters in the elderly population in a tertiary care hospital, utilizing a five-part cell counter and a peripheral smear test.

METHOD

A cross-sectional study was conducted at a tertiary care institute on 188 patients aged 60 years and above attending the outpatient department for two years. The routine complete blood count and differential count were determined on the Siemens Advia 2120 analyzer. All the data were collected and entered into the data sheets. Appropriate statistical analysis was carried out to interpret the results.

RESULTS

HTN, diabetes mellitus, cardiovascular disease (CVD), and generalized weakness were the most common conditions affecting our senior group. Decreased Hb was positively correlated with widespread weakness. Total leukocyte count (TLC) was found to be more prevalent in people with CVD and HTN. A sizable share of the elderly population who had diabetes mellitus and CVD showed an elevated red cell distribution width (RDW) percentage.

CONCLUSION

The results indicated a significant deviation from normal hematological parameters, which were associated with various health issues. These parametric associations can be used as risk indicators, which can help healthcare professionals ensure the good health of the geriatric population.

摘要

背景

“健康老龄化”是一项重大的公共卫生挑战,因为老年人中疾病的患病率和发病率要高得多。其中,糖尿病、高血压和心血管疾病是最常见的慢性疾病。全血细胞计数检测可以全面反映患者的健康状况,因为异常计数可能表明存在许多不同类型的疾病。使用先进的血液分析仪,对外周血涂片进行典型的显微镜检查可以获得有关患者临床状态的重要信息。本研究的目的是利用五分类血细胞计数器和外周血涂片检测,调查一家三级护理医院老年人群的血液学参数。

方法

在一家三级护理机构对188名60岁及以上的患者进行了一项横断面研究,这些患者在两年内就诊于门诊部。在西门子Advia 2120分析仪上测定常规全血细胞计数和分类计数。收集所有数据并录入数据表。进行了适当的统计分析以解释结果。

结果

高血压、糖尿病、心血管疾病和全身虚弱是影响我们老年组的最常见病症。血红蛋白降低与广泛虚弱呈正相关。发现总白细胞计数在患有心血管疾病和高血压的人群中更为普遍。患有糖尿病和心血管疾病的老年人群中有相当一部分红细胞分布宽度百分比升高。

结论

结果表明血液学参数与正常情况存在显著偏差,这与各种健康问题相关。这些参数关联可以用作风险指标,有助于医护人员确保老年人群的健康。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/2c72866627b3/cureus-0016-00000057910-i08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/4f6636e0a0ea/cureus-0016-00000057910-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/5194eb8e15be/cureus-0016-00000057910-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/a42da145ccb7/cureus-0016-00000057910-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/4b1b0b93c278/cureus-0016-00000057910-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/1032f47f9f19/cureus-0016-00000057910-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/75a608982387/cureus-0016-00000057910-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/789850815464/cureus-0016-00000057910-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/2c72866627b3/cureus-0016-00000057910-i08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/4f6636e0a0ea/cureus-0016-00000057910-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/5194eb8e15be/cureus-0016-00000057910-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/a42da145ccb7/cureus-0016-00000057910-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/4b1b0b93c278/cureus-0016-00000057910-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/1032f47f9f19/cureus-0016-00000057910-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/75a608982387/cureus-0016-00000057910-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/789850815464/cureus-0016-00000057910-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca1a/11081139/2c72866627b3/cureus-0016-00000057910-i08.jpg

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