CLUSTER ANALYSIS AS A METHOD FOR TESTING THE HYPOTHESIS ABOUT THE INFLUENCE OF GLUCOSE METABOLISM DISORDERS ON THE COURSE OF ACUTE OTITIS MEDIA IN ADULTS

T. Pochuiеva, A. Filatova, S. Samusenko, I. Filatova, A.B. Bobrus
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The cluster analysis included 73 with AOM. The 1 group (n=17) - patients with AOM; 2 group (n=15) - patients with AOM with presence of the sinus pathology; 3 group (n=20) - patients with AOM due to type 2 diabetes mellitus (DM2); 4 group (n=21) - patients with AOM due to transient glucose metabolism disorders. Apart from the clinical examination, all patients were tested for HbAlc, parathormone, osteocalcin, total calcium, IL-4, IL-6, FNP-α, and low-density lipoproteins (LDL). Cluster analysis on the basis of laboratory indicators was performed by the hierarchical method using the iterative algorithm of k-means and prior standardization of the data. \nResult. The hypothesis was tested at the level of stratification of patients into 4 and 2 clusters. In the first case, 28.8 %, 31.5 %, 15.6 %, and 24.6 % of the total number of patients were included in clusters I, II, III, and IV. Patients with AOM due to impaired glucose metabolism were predominantly in clusters I and II, comprising 51.2 % and 69.5 % of the cluster contingent respectively, while DM2 prevailed in cluster I and transient glucose metabolism disorders in cluster II (61.9 % and 62.5 % accordingly), 72.7 % and 94.4 % of patients with AOM without impaired glucose metabolism were stratified in clusters III and IV. \nThe analysis of laboratory indicators using the k-means algorithm showed a general tendency for the increase in glucose, HbAlc, parathormone, TNF-α and LDL in patients with AOM in clusters I and II with increased levels of osteocalcin, calcium and IL-4 in patients in clusters III and IV with the presence of a significant difference (p˂0.05). \nAt the level of patients' grouping into two clusters, cluster I included 41.9 % of the total number of patients due to the presence of all glucose metabolism disorders (of these, DM2 occurred in 57.6 % and transient glucose metabolism disorders in 43.3 %). The II cluster (58.9 % of patients) included all patients with AOM without impaired glucose metabolism, accounting for 74.4 % of its structure, and 25.6 % of patients with impaired glucose metabolism (6.97 % for DM2 and 18.6 % for transient impairments). \nThe k-means algorithm revealed a clear and reliable distribution of clusters for all 9 studied indicators, which resulted in an increase in glucose content, HbAlc, levels of parathormone, IL-6, TNF-α and LDL and decreased osteocalcin, calcium and IL-4 in I cluster compared to II. Differences in the indicators at the group-group levels, group-cluster and cluster-cluster revealed a sufficient difference in the first and third cases (with the exception of osteocalcin) and their absence at the group-cluster level (with the exception of parathormone for cluster I, p˂0.01 and glucose and HbAlc for cluster II, p˂0.05). \nConclusion. The cluster analysis was informative and confirmed the hypothesis about the influence of glucose metabolism disorders on peculiarities of AOM pathogenesis in adults according to laboratory indices. The principal importance of the presence or absence of impaired glucose metabolism in patients with AOM is confirmed by stratification of patients into two clusters. Thus, all patients without glucose metabolism disorders were included in one (II) cluster. The contingent of patients with impaired glucose metabolism was not homogeneous, with cluster I comprising only patients with impaired glucose metabolism, but 15 % of patients with DM2 and 38.1 % of patients with transient disorders were in cluster II. Therefore, to improve the quality of diagnostics of complicated course of acute otitis media on the basis of glucose metabolism disorders it is necessary to supplement the laboratory indicators with informative clinical criteria. Parathormone level, as well as the combination of IL-6, TNF-α and LDL levels can be used as a marker of impaired glucose metabolism.","PeriodicalId":52737,"journal":{"name":"Medichna nauka Ukrayini","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medichna nauka Ukrayini","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32345/2664-4738.3.2022.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Relevance. Relevance of the research is caused by the clinical necessity to increase efficiency of diagnostics and treatment of acute otitis media (AOM) from the modern positions personalized medicine and the feasibility of statistical verification of the validity of the hypothesis about the influence of glucose metabolism disorders on the formation of clinical and pathogenetic features of acute otitis media in adults. Objective. To carry out statistical verification of the hypothesis about the influence of carbohydrate metabolism disorders on the complicated course of AOM on the basis of cluster analysis and to determine its informativity. Materials and methods. The cluster analysis included 73 with AOM. The 1 group (n=17) - patients with AOM; 2 group (n=15) - patients with AOM with presence of the sinus pathology; 3 group (n=20) - patients with AOM due to type 2 diabetes mellitus (DM2); 4 group (n=21) - patients with AOM due to transient glucose metabolism disorders. Apart from the clinical examination, all patients were tested for HbAlc, parathormone, osteocalcin, total calcium, IL-4, IL-6, FNP-α, and low-density lipoproteins (LDL). Cluster analysis on the basis of laboratory indicators was performed by the hierarchical method using the iterative algorithm of k-means and prior standardization of the data. Result. The hypothesis was tested at the level of stratification of patients into 4 and 2 clusters. In the first case, 28.8 %, 31.5 %, 15.6 %, and 24.6 % of the total number of patients were included in clusters I, II, III, and IV. Patients with AOM due to impaired glucose metabolism were predominantly in clusters I and II, comprising 51.2 % and 69.5 % of the cluster contingent respectively, while DM2 prevailed in cluster I and transient glucose metabolism disorders in cluster II (61.9 % and 62.5 % accordingly), 72.7 % and 94.4 % of patients with AOM without impaired glucose metabolism were stratified in clusters III and IV. The analysis of laboratory indicators using the k-means algorithm showed a general tendency for the increase in glucose, HbAlc, parathormone, TNF-α and LDL in patients with AOM in clusters I and II with increased levels of osteocalcin, calcium and IL-4 in patients in clusters III and IV with the presence of a significant difference (p˂0.05). At the level of patients' grouping into two clusters, cluster I included 41.9 % of the total number of patients due to the presence of all glucose metabolism disorders (of these, DM2 occurred in 57.6 % and transient glucose metabolism disorders in 43.3 %). The II cluster (58.9 % of patients) included all patients with AOM without impaired glucose metabolism, accounting for 74.4 % of its structure, and 25.6 % of patients with impaired glucose metabolism (6.97 % for DM2 and 18.6 % for transient impairments). The k-means algorithm revealed a clear and reliable distribution of clusters for all 9 studied indicators, which resulted in an increase in glucose content, HbAlc, levels of parathormone, IL-6, TNF-α and LDL and decreased osteocalcin, calcium and IL-4 in I cluster compared to II. Differences in the indicators at the group-group levels, group-cluster and cluster-cluster revealed a sufficient difference in the first and third cases (with the exception of osteocalcin) and their absence at the group-cluster level (with the exception of parathormone for cluster I, p˂0.01 and glucose and HbAlc for cluster II, p˂0.05). Conclusion. The cluster analysis was informative and confirmed the hypothesis about the influence of glucose metabolism disorders on peculiarities of AOM pathogenesis in adults according to laboratory indices. The principal importance of the presence or absence of impaired glucose metabolism in patients with AOM is confirmed by stratification of patients into two clusters. Thus, all patients without glucose metabolism disorders were included in one (II) cluster. The contingent of patients with impaired glucose metabolism was not homogeneous, with cluster I comprising only patients with impaired glucose metabolism, but 15 % of patients with DM2 and 38.1 % of patients with transient disorders were in cluster II. Therefore, to improve the quality of diagnostics of complicated course of acute otitis media on the basis of glucose metabolism disorders it is necessary to supplement the laboratory indicators with informative clinical criteria. Parathormone level, as well as the combination of IL-6, TNF-α and LDL levels can be used as a marker of impaired glucose metabolism.
用聚类分析方法检验糖代谢紊乱对成人急性中耳炎病程影响的假设
关联本研究的相关性是由于临床上有必要从现代的角度提高急性中耳炎(AOM)的诊断和治疗效率,个性化的药物,以及对糖代谢紊乱对急性中耳炎临床和发病特征形成影响的假设的有效性进行统计验证的可行性成人媒体。客观的在聚类分析的基础上,对碳水化合物代谢紊乱对AOM复杂过程影响的假设进行统计验证,并确定其信息性。材料和方法。聚类分析包括73例AOM患者。1组(n=17)为AOM患者;2组(n=15)-有窦性病变的AOM患者;3组(n=20)-2型糖尿病引起的AOM患者;4组(n=21)-因短暂性糖代谢紊乱引起的AOM患者。除临床检查外,所有患者均接受HbAlc、甲状旁腺激素、骨钙素、总钙、IL-4、IL-6、FNP-α和低密度脂蛋白(LDL)检测。基于实验室指标的聚类分析是通过分层方法进行的,使用k均值的迭代算法和数据的先验标准化。后果该假设在将患者分为4组和2组的层面上进行了检验。在第一种情况下,28.8%、31.5%、15.6%和24.6%的患者总数被纳入集群I、II、III和IV。由于糖代谢受损而患有AOM的患者主要在集群I和II中,分别占集群队伍的51.2%和69.5%,DM2在第一组中占主导地位,短暂性糖代谢紊乱在第二组中占优势(分别为61.9%和62.5%),72.7%和94.4%的无糖代谢受损的AOM患者在第三组和第四组中分层。使用k-means算法对实验室指标的分析显示,葡萄糖、HbAlc、甲状旁腺激素,I和II组AOM患者的TNF-α和LDL水平与III和IV组患者的骨钙素、钙和IL-4水平升高存在显著差异(p0.05),I组包括41.9%的因存在所有糖代谢紊乱的患者(其中DM2发生率为57.6%,短暂性糖代谢紊乱发生率为43.3%)。II组(58.9%的患者)包括所有没有糖代谢受损的AOM患者,占其结构的74.4%,以及25.6%的糖代谢受损患者(DM2为6.97%,短暂性损伤为18.6%)。k-means算法揭示了所有9个研究指标的聚类分布清晰可靠,这导致与II相比,I聚类中的葡萄糖含量、HbAlc、甲状旁腺激素、IL-6、TNF-α和LDL水平增加,骨钙素、钙和IL-4降低。组-组水平、组-组和组-组的指标差异显示,第一和第三种情况(骨钙素除外)有足够的差异,而组-组不存在(组-组I的甲状旁腺激素除外,p 0.01,组-组II的葡萄糖和HbAlc除外,p 0.05)。结论。聚类分析提供了信息,并根据实验室指标证实了葡萄糖代谢紊乱对成人AOM发病机制特点的影响的假设。AOM患者存在或不存在糖代谢受损的主要重要性通过将患者分为两组来证实。因此,所有没有糖代谢紊乱的患者都被纳入一个(II)组。糖代谢受损患者的队伍并不均匀,第一组仅包括糖代谢受损的患者,但15%的DM2患者和38.1%的短暂性疾病患者属于第二组。因此,为了提高以糖代谢紊乱为基础的急性中耳炎复杂病程的诊断质量,有必要为实验室指标补充信息丰富的临床标准。甲状旁腺激素水平以及IL-6、TNF-α和LDL水平的组合可作为葡萄糖代谢受损的标志。
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