{"title":"肺结核患者并发糖尿病的预测因素。印度东部部落邦贾坎德邦两个矿区的观点。","authors":"Sandeep Rai, Ravi Ranjan Jha, Santosh Prasad, Dewesh Kumar, Rishabh Kumar Rana","doi":"10.4103/ijcm.ijcm_11_23","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Tuberculosis and diabetes both diseases are present in large numbers in the country and we are major contributors to both globally. With the objective to understand the various traits of patients having both tuberculosis and diabetes and to ascertain various possible predictors for such occurrence based on the public health database we carried out this study. We seek answers to questions like they have any effects? Are they having any additive role to play?</p><p><strong>Methods: </strong>One-year data from the NIKSHAY portal of both districts were analyzed to look for possible associations and other variable traits. Data were analyzed using standard methods to express data in frequency and percentage. Chi-square test was used to establish association, while step-wise approach was used to calculate univariate and multivariate logistic regression analysis for knowing various predictors. <i>P-</i>value of <0.05 was considered statistically significant.</p><p><strong>Results: </strong>Concurrent diabetes in tuberculosis patients was close to 294 (6%) in the 4933 individuals. In total, 65.2% of the study population were male. Diagnosis of tuberculosis was made most of the time by chest X-ray (49.4%) followed by Microscopy ZN staining and cartridge-based nucleic acid amplification test (CBNAAT). Death was more among diabetics (4.4%) as compared to nondiabetics (3.5%).</p><p><strong>Conclusion: </strong>Diabetes is increasing in tuberculosis patients; improvement in data quality is needed. More research is required to reveal various other reasons that make tuberculosis patients more prone to develop diabetes.</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11042151/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictors for Concurrent Diabetes in Tuberculosis Patients. Perspectives from Two Mining Districts of Eastern Tribal State Jharkhand, in India.\",\"authors\":\"Sandeep Rai, Ravi Ranjan Jha, Santosh Prasad, Dewesh Kumar, Rishabh Kumar Rana\",\"doi\":\"10.4103/ijcm.ijcm_11_23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Tuberculosis and diabetes both diseases are present in large numbers in the country and we are major contributors to both globally. With the objective to understand the various traits of patients having both tuberculosis and diabetes and to ascertain various possible predictors for such occurrence based on the public health database we carried out this study. We seek answers to questions like they have any effects? Are they having any additive role to play?</p><p><strong>Methods: </strong>One-year data from the NIKSHAY portal of both districts were analyzed to look for possible associations and other variable traits. Data were analyzed using standard methods to express data in frequency and percentage. Chi-square test was used to establish association, while step-wise approach was used to calculate univariate and multivariate logistic regression analysis for knowing various predictors. <i>P-</i>value of <0.05 was considered statistically significant.</p><p><strong>Results: </strong>Concurrent diabetes in tuberculosis patients was close to 294 (6%) in the 4933 individuals. In total, 65.2% of the study population were male. Diagnosis of tuberculosis was made most of the time by chest X-ray (49.4%) followed by Microscopy ZN staining and cartridge-based nucleic acid amplification test (CBNAAT). Death was more among diabetics (4.4%) as compared to nondiabetics (3.5%).</p><p><strong>Conclusion: </strong>Diabetes is increasing in tuberculosis patients; improvement in data quality is needed. More research is required to reveal various other reasons that make tuberculosis patients more prone to develop diabetes.</p>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11042151/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/ijcm.ijcm_11_23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ijcm.ijcm_11_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/7 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:肺结核和糖尿病这两种疾病在我国的发病率都很高,我国也是全球这两种疾病的主要传播者。为了了解肺结核和糖尿病患者的各种特征,并根据公共卫生数据库确定肺结核和糖尿病发生的各种可能预测因素,我们开展了这项研究。我们希望找到问题的答案,比如它们有什么影响?它们是否有任何叠加作用?对两个地区 NIKSHAY 门户网站的一年数据进行分析,以寻找可能的关联和其他变量特征。数据分析采用标准方法,以频率和百分比表示数据。采用卡方检验确定关联性,同时采用逐步法计算单变量和多变量逻辑回归分析,以了解各种预测因素。结果的 P 值:在 4933 名肺结核患者中,并发糖尿病者接近 294 人(6%)。研究对象中男性占 65.2%。肺结核的诊断大多通过胸部 X 光检查(49.4%),其次是显微镜 ZN 染色和盒式核酸扩增试验(CBNAAT)。与非糖尿病患者(3.5%)相比,糖尿病患者的死亡比例更高(4.4%):结论:肺结核患者中糖尿病患者越来越多;需要提高数据质量。结论:肺结核患者的糖尿病发病率正在上升;需要提高数据质量;需要开展更多研究,以揭示导致肺结核患者更易患糖尿病的其他各种原因。
Predictors for Concurrent Diabetes in Tuberculosis Patients. Perspectives from Two Mining Districts of Eastern Tribal State Jharkhand, in India.
Background: Tuberculosis and diabetes both diseases are present in large numbers in the country and we are major contributors to both globally. With the objective to understand the various traits of patients having both tuberculosis and diabetes and to ascertain various possible predictors for such occurrence based on the public health database we carried out this study. We seek answers to questions like they have any effects? Are they having any additive role to play?
Methods: One-year data from the NIKSHAY portal of both districts were analyzed to look for possible associations and other variable traits. Data were analyzed using standard methods to express data in frequency and percentage. Chi-square test was used to establish association, while step-wise approach was used to calculate univariate and multivariate logistic regression analysis for knowing various predictors. P-value of <0.05 was considered statistically significant.
Results: Concurrent diabetes in tuberculosis patients was close to 294 (6%) in the 4933 individuals. In total, 65.2% of the study population were male. Diagnosis of tuberculosis was made most of the time by chest X-ray (49.4%) followed by Microscopy ZN staining and cartridge-based nucleic acid amplification test (CBNAAT). Death was more among diabetics (4.4%) as compared to nondiabetics (3.5%).
Conclusion: Diabetes is increasing in tuberculosis patients; improvement in data quality is needed. More research is required to reveal various other reasons that make tuberculosis patients more prone to develop diabetes.