Document Detail

Detection of potentially myocardial infarction susceptible individuals in indian population: a mathematical model based on copper and zinc status.
MedLine Citation:
PMID:  11051607     Owner:  NLM     Status:  MEDLINE    
Zinc (Zn) and copper (Cu) concentrations in hair and urine of patients diagnosed and hospitalized for myocardial infarction (MI patients) and in their descendants (MI descendants) were estimated and compared with their age-matched healthy volunteers with no family history of MI (control group and control descendants). The data revealed approximately twofold higher Zn and twofold lower Cu in the urine of the patients; Zn was lower and Cu was higher in the urine of MI descendants than those of the patients (p < 0.001), but Zn in hair and urine was higher and Cu in hair was lower in MI descendants compared with their control counterparts (p < 0.001). The data suggested that there was a consistent rise in Zn and fall in Cu reserves in the genetically predisposed subjects (MI descendants) prior to the manifestation of clinical symptoms. Based on this, the data were subjected to logistic regression and a model was obtained to predict the susceptibility to MI (LR-MI), having impact factors values as follows: constant (C), -3.342; impact factor of body mass index, -0.776; impact factor of hair Zn, -2.449; impact factor of urine Zn, +3.441; impact factor of hair Cu, -15.077; impact factor of urine Cu, -24.153. For the equation Y = e(x)/(1 + e(x)), the value of x was obtained as follows: -3.342 + [BMI (kg/m2) (-0.776)] + [Hair Zn (micromol/g) (-2.449)] + [Urine Zn (micromol/L) (3.441)] + [Hair Cu (micromol/g) (-15.077)] + [Urine Cu (micromol/L) (-24.153)]. On substituting the values of BMI, hair Zn, urine Zn, hair Cu, and urine Cu in x, the response variable Y as zero for healthy controls and 0.99 or 99.9% susceptibility in MI patients were obtained. In between these two extremes, the response variable ranged between 0 and 0.99 or 99.9% susceptibility to MI in their descendants. It is envisaged that the MI patients have an operational component of a genetic disorder of ionic imbalance at a young age that can be exploited in making a prediction of susceptibility to heart stroke in individuals much before its onset and diagnosis in asymptomatic patients, particularly in genetic and epidemiological studies of MI.
S K Taneja; S Girhotra; K P Singh
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Publication Detail:
Type:  Clinical Trial; Journal Article    
Journal Detail:
Title:  Biological trace element research     Volume:  75     ISSN:  0163-4984     ISO Abbreviation:  Biol Trace Elem Res     Publication Date:  2000  
Date Detail:
Created Date:  2000-11-16     Completed Date:  2000-11-16     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  7911509     Medline TA:  Biol Trace Elem Res     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  177-86     Citation Subset:  IM    
Department of Zoology, Punjab University, Chandigarh, India.
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MeSH Terms
Copper / metabolism*,  urine
Hair / chemistry
Middle Aged
Models, Theoretical
Myocardial Infarction / diagnosis*
Nutritional Status / physiology*
Zinc / metabolism*,  urine
Reg. No./Substance:
7440-50-8/Copper; 7440-66-6/Zinc

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