Establishing reference ranges and normal values for coagulation screening in healthy Indian male volunteers enrolled for a longitudinal study

Abstract We used a computer-based method to help validate the reference ranges of assays for triiodothyronine (T3) and thyroxin (T4). A retrospective search of a database of laboratory results for the previous six months identified all patients with apparent euthyroid status, as defined by methods independent of the immunoassay under review. A computer-generated reference group (CGR Group) of 2001 records had a gaussian distribution of T4 values and a reference range (mean +/- 2 SD) of 56-161 nmol/L, compared with the supplier's suggested range for euthyroid subjects (58-148 nmol/L) and an in-house range of 60-144 nmol/L for a group of 97 normal subjects. A similar CGR Group of 1902 records gave a reference range for T3 of 0.7-2.1 nmol/L (manufacturer's range 0.8-2.8; normal subjects 0.8-2.2). An attempt to devise a reference range for thyrotropin failed when we found that its concentration in the population of patients with normal values for thyroid hormones was distributed differently from that in the normal population. The method is intended to be used in addition to conventionally derived ranges based on results for healthy subjects. It allows the laboratory to conveniently verify the reference ranges for T3 and T4 assays at regular intervals by using very large samples with appropriate age, sex, and weight distribution, drawn from the population of patients' samples submitted for analysis.

Download Full-text

Pharmacokinetics and bioequivalence study of three oral formulations of valsartan 160 mg: A single-dose, randomized, open-label, three-period crossover comparison in healthy Indian male volunteers

Clinical Therapeutics ◽

10.1016/j.clinthera.2010.03.004 ◽

2010 ◽

Vol 32 (3) ◽

pp. 588-596 ◽

Cited By ~ 10

Author(s):

Muzaffar Iqbal ◽

Arshad Khuroo ◽

Lakhvinder S. Batolar ◽

Monika Tandon ◽

Tausif Monif ◽

...

Keyword(s):

Single Dose ◽

Bioequivalence Study ◽

Open Label ◽

Male Volunteers ◽

Oral Formulations ◽

Indian Male ◽

Crossover Comparison

Download Full-text

Understanding the Effect of a Motivational Music on Indian Male Volunteers Using Recurrence Analysis and ANN Classification

2017 14th IEEE India Council International Conference (INDICON) ◽

10.1109/indicon.2017.8487870 ◽

2017 ◽

Author(s):

Gitika Yadu ◽

Suraj Kumar Nayak ◽

Debasisha Panigrahi ◽

Indranil Banerjee ◽

Kunal Pal ◽

...

Keyword(s):

Recurrence Analysis ◽

Male Volunteers ◽

Indian Male ◽

Ann Classification

Download Full-text

Effect of a Romantic Song on the Autonomic Nervous System and the Heart of Indian Male Volunteers

Expert System Techniques in Biomedical Science Practice - Advances in Bioinformatics and Biomedical Engineering ◽

10.4018/978-1-5225-5149-2.ch006 ◽

2018 ◽

pp. 120-142

Author(s):

Soumanti Das ◽

Suraj Kumar Nayak ◽

Rohit Kumar Verma ◽

Anilesh Dey ◽

Kunal Pal

Keyword(s):

Heart Rate ◽

Nervous System ◽

Autonomic Nervous System ◽

Stimulus Condition ◽

Ecg Signals ◽

Autonomic Nervous ◽

Male Volunteers ◽

Artificial Neural Network Ann ◽

Music Stimulus ◽

Indian Male

In this chapter, the effect of an old generation romantic music (stimulus) on the autonomic nervous system (ANS) activity and the cardiac electrophysiology of Indian male volunteers was investigated. Electrocardiogram (ECG) signals were acquired and the corresponding RR intervals (RRIs) were extracted. The recurrence analysis of the RRI time series suggested a more stable heart rate in the post-stimulus condition. Heart rate variability (HRV) analysis detected a dominant parasympathetic activity in the post-stimulus condition. The time-domain and the wavelet transform analyses of the ECG signals predicted an alteration in the electrical activity of the heart because of the exposure to the music stimulus. The classification of the HRV and the ECG parameters was performed using artificial neural network (ANN), which resulted in an accuracy of ≥80%.

Download Full-text

Reference ranges and normal values

Dacie and Lewis Practical Haematology ◽

10.1016/b978-0-7020-3408-4.00002-3 ◽

2012 ◽

pp. 11-22 ◽

Cited By ~ 11

Author(s):

Imelda Bates ◽

S. Mitchell Lewis

Keyword(s):

Normal Values ◽

Reference Ranges

Download Full-text

Clinical evaluation of immunoinhibition determination of creatine kinase B subunits in coronary care.

Clinical Chemistry ◽

10.1093/clinchem/29.2.353 ◽

1983 ◽

Vol 29 (2) ◽

pp. 353-355 ◽

Cited By ~ 1

Author(s):

J Booth ◽

P J McCarthy ◽

R N Walmsley

Keyword(s):

Creatine Kinase ◽

Chest Pain ◽

Normal Values ◽

Clinical Findings ◽

Reference Ranges ◽

B Subunit ◽

Creatine Kinase B ◽

Coronary Care ◽

Total Creatine

Abstract One hundred patients with chest pain of cardiac origin were evaluated on the basis of clinical findings, electrocardiograph results, and total creatine kinase (CK) and creatine kinase B-subunit (CK-B) activity (as determined by immunoinhibition with the Boehringer CK-MB kit) in serum. All patients diagnosed as having had an acute myocardial infarction had increased values for both CK-B and total CK. In no case was normal total CK activity associated with an increased CK-B, nor was normal CK-B associated with an increased total CK. During collection of data for reference ranges, we found 10 patients who had no evidence of cardiac disease but had various other diseases, who exhibited high values for CK-B in serum; four of these had normal values for total CK. We conclude that estimations of CK-B in serum by this method added no more diagnostic information than did data on total CK in the evaluation of chest pain.

Download Full-text

A Method for Deriving Quasi-healthy Cohorts From Clinical Data

Biomedical Informatics Insights ◽

10.1177/1178222618777758 ◽

2018 ◽

Vol 10 ◽

pp. 117822261877775

Author(s):

Satoshi Irino ◽

Yukio Kurihara

Keyword(s):

Laboratory Test ◽

Clinical Data ◽

Laboratory Tests ◽

Normal Values ◽

Specific Reference ◽

Reference Ranges ◽

Healthy Individuals ◽

Clinical Database ◽

Age Dependent ◽

Effective Condition

We evaluated quasi-healthy cohorts (model cohorts), derived from clinical data, to determine how well they simulated control cohorts. Control cohorts comprised individuals extracted from a public checkup database in Japan, under the condition that their values for 3 basic laboratory tests fall within specific reference ranges (3Ts condition). Model cohorts comprised outpatients, extracted from a clinical database at a hospital, under the 3Ts condition or under the condition that their values for 4 laboratory tests fall within specific reference ranges (4Ts condition). Because even a patient with a serious illness, such as cancer, may present with normal values on basic laboratory tests, one additional condition was added: the duration (1 or 3 months; 1M or 3M) during which patients were not hospitalized after their first laboratory test. For evaluations, cohorts were specified by age and sex. The 4Ts + 3M condition was the most effective condition, under which model cohorts were used to successfully simulate age-dependent changes and sex differences in laboratory test values for control cohorts. Therefore, by properly setting the conditions for extracting quasi-healthy individuals, we can derive cohorts from clinical data to simulate various types of cohorts. Although some issues with the proposed method remain to be solved, this approach presents new possibilities for using clinical data for cohort studies.

Download Full-text