{"title":"用巴塔查亚法从三级医院数据中确定血清同型半胱氨酸、镁和尿酸的参考区间","authors":"Monica Peter, Arunachalam Vijaya Bhaskar, Videeta Avinash Kamble, Gaikwad Abhishek Lazaras, Pamela Christudoss, Joe Varghese, Padmanaban Venkatesan","doi":"10.4103/cmi.cmi_108_23","DOIUrl":null,"url":null,"abstract":"\n \n \n Direct ways of establishing reference intervals for analytes are time-consuming and costly. Bhattacharya analysis is an indirect way to mathematically derive reference intervals from the results of analytes in a hospital database and is practically a simple and inexpensive alternative to direct methods.\n \n \n \n Data of serum uric acid, magnesium, and plasma homocysteine levels measured in the department of clinical biochemistry over 3 years were extracted from the hospital database along with the age, gender, and location of the patients. Bhattacharya analysis was performed by identifying underlying Gaussian distribution within the non-Gaussian distribution of the patient data by log transformation of the distribution of the data. Reference intervals for each of the analytes were calculated from the identified Gaussian distribution.\n \n \n \n The reference interval for serum uric acid was 1.49–8.97 mg/dL in men and 2.13–6.14 in women, serum magnesium in adults was 1.19–3.21 mg/dL, and plasma homocysteine in adults was 4.6–21 μg/dL.\n \n \n \n Using Bhattacharya analysis, we were able to derive reference intervals for analytes from our hospital data.\n","PeriodicalId":72734,"journal":{"name":"Current medical issues","volume":"111 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determination of Reference Interval for Serum Homocysteine, Magnesium, and Uric Acid from Tertiary Care Hospital Data By the Bhattacharya Method\",\"authors\":\"Monica Peter, Arunachalam Vijaya Bhaskar, Videeta Avinash Kamble, Gaikwad Abhishek Lazaras, Pamela Christudoss, Joe Varghese, Padmanaban Venkatesan\",\"doi\":\"10.4103/cmi.cmi_108_23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n \\n Direct ways of establishing reference intervals for analytes are time-consuming and costly. Bhattacharya analysis is an indirect way to mathematically derive reference intervals from the results of analytes in a hospital database and is practically a simple and inexpensive alternative to direct methods.\\n \\n \\n \\n Data of serum uric acid, magnesium, and plasma homocysteine levels measured in the department of clinical biochemistry over 3 years were extracted from the hospital database along with the age, gender, and location of the patients. Bhattacharya analysis was performed by identifying underlying Gaussian distribution within the non-Gaussian distribution of the patient data by log transformation of the distribution of the data. Reference intervals for each of the analytes were calculated from the identified Gaussian distribution.\\n \\n \\n \\n The reference interval for serum uric acid was 1.49–8.97 mg/dL in men and 2.13–6.14 in women, serum magnesium in adults was 1.19–3.21 mg/dL, and plasma homocysteine in adults was 4.6–21 μg/dL.\\n \\n \\n \\n Using Bhattacharya analysis, we were able to derive reference intervals for analytes from our hospital data.\\n\",\"PeriodicalId\":72734,\"journal\":{\"name\":\"Current medical issues\",\"volume\":\"111 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current medical issues\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/cmi.cmi_108_23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current medical issues","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/cmi.cmi_108_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determination of Reference Interval for Serum Homocysteine, Magnesium, and Uric Acid from Tertiary Care Hospital Data By the Bhattacharya Method
Direct ways of establishing reference intervals for analytes are time-consuming and costly. Bhattacharya analysis is an indirect way to mathematically derive reference intervals from the results of analytes in a hospital database and is practically a simple and inexpensive alternative to direct methods.
Data of serum uric acid, magnesium, and plasma homocysteine levels measured in the department of clinical biochemistry over 3 years were extracted from the hospital database along with the age, gender, and location of the patients. Bhattacharya analysis was performed by identifying underlying Gaussian distribution within the non-Gaussian distribution of the patient data by log transformation of the distribution of the data. Reference intervals for each of the analytes were calculated from the identified Gaussian distribution.
The reference interval for serum uric acid was 1.49–8.97 mg/dL in men and 2.13–6.14 in women, serum magnesium in adults was 1.19–3.21 mg/dL, and plasma homocysteine in adults was 4.6–21 μg/dL.
Using Bhattacharya analysis, we were able to derive reference intervals for analytes from our hospital data.