POST-COVID-19 SYNDROME: INCIDENCE, BIOMARKERS, AND CLINICAL PATTERNS IN KAZAKHSTAN.

Q4 Medicine
Georgian medical news Pub Date : 2025-06-01
A Dosbayeva, A Serikbayev, A Sharapiyeva, K Amrenova, A Krykpayeva, Y Kairkhanova, A Dyussupov, A Seitkabylov, Zh Zhumanbayeva
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引用次数: 0

Abstract

Background: Post-COVID syndrome (PCS) remains a significant challenge in modern medicine due to its diverse clinical manifestations and long-term impact on patients' health. Identifying risk factors and biomarkers associated with PCS can facilitate early diagnosis and improve patient management.

Objective: This study aimed to assess the prevalence, diagnostic markers and clinical characteristics of post-COVID syndrome (PCS) in the Abay region.

Methods: A retrospective-prospective cohort study was conducted among 639 individuals who had recovered from COVID-19. Participants were divided into two groups: those with PCS (n=300) and those without (n=339). Clinical and demographic data, laboratory biomarkers, and vaccination history were analyzed. Statistical analyses, including logistic regression, were applied to identify key risk factors and clinical subtypes of PCS.

Results: The prevalence of PCS was 47%, with significant differences observed between groups regarding comorbid conditions, and laboratory biomarkers. PCS patients had a higher incidence of hypertension (47% vs. 23.5%, p=0.003) and diabetes mellitus (10.3% vs. 6.7%, p=0.032). Elevated alkaline phosphatase (ALP) levels were associated with PCS (p=0.004), whereas hematocrit (HCT) and immunoglobulin G (IgG) levels were lower in PCS patients. Cluster analysis identified four distinct clinical phenotypes, emphasizing the heterogeneity of PCS manifestations. Vaccination status showed a significant inverse correlation with PCS incidence (p=0.002), suggesting a protective effect of higher vaccine doses.

Conclusion: PCS presents with a broad spectrum of symptoms, necessitating a multidisciplinary approach for optimal patient management. Identified biomarkers, including ALP, HCT, and IgG, may serve as potential indicators for PCS diagnosis. Vaccination ap-pears to reduce PCS risk, highlighting the importance of immunization in mitigating long-term COVID-19 complications. These findings contribute to a better understanding of PCS pathophysiology and provide a foundation for future research and personalized treatment strategies.

covid -19后综合征:哈萨克斯坦的发病率、生物标志物和临床模式
新冠肺炎后综合征(Post-COVID - syndrome, PCS)临床表现多样,对患者健康有长期影响,是现代医学面临的重大挑战。识别与PCS相关的危险因素和生物标志物可以促进早期诊断和改善患者管理。目的:了解阿贝地区新冠肺炎后综合征(PCS)的流行情况、诊断指标及临床特征。方法:对639例COVID-19康复患者进行回顾性-前瞻性队列研究。参与者被分为两组:有PCS的(n=300)和没有PCS的(n=339)。分析临床和人口统计数据、实验室生物标志物和疫苗接种史。统计分析,包括逻辑回归,以确定关键的危险因素和临床亚型PCS。结果:PCS的患病率为47%,在合并症和实验室生物标志物方面,两组之间存在显著差异。PCS患者高血压(47% vs. 23.5%, p=0.003)和糖尿病(10.3% vs. 6.7%, p=0.032)发生率较高。碱性磷酸酶(ALP)水平升高与PCS相关(p=0.004),而PCS患者的红细胞压积(HCT)和免疫球蛋白G (IgG)水平较低。聚类分析确定了四种不同的临床表型,强调了PCS表现的异质性。疫苗接种状况与PCS发病率呈显著负相关(p=0.002),提示高剂量疫苗具有保护作用。结论:PCS表现出广泛的症状,需要多学科的方法来优化患者管理。已确定的生物标志物,包括ALP、HCT和IgG,可能作为PCS诊断的潜在指标。疫苗接种似乎可以降低PCS风险,突出了免疫接种对减轻COVID-19长期并发症的重要性。这些发现有助于更好地理解PCS的病理生理,并为未来的研究和个性化治疗策略提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Georgian medical news
Georgian medical news Medicine-Medicine (all)
CiteScore
0.60
自引率
0.00%
发文量
207
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