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Biomedical subjects

S S Verma

Publications and source records attributed to S S Verma.

At least 37 records · Page 2Linked to original sources
PubMed1994

Prediction of maximal aerobic power in man: a nomographic approach.

Direct estimation of maximal aerobic power is an intricate procedure and requires the facility of a well-equipped laboratory. Attempts have been made, therefore, to develop linear and nonlinear regression equations for its indirect assessment, but many biomedical scientists have difficulty in using these statistically based equations. Bearing this in mind, this paper constructs two nomograms for predicting maximal aerobic power. The first nomogram, based on cardiorespiratory strains, is more precise but requires the facility of an equipped laboratory owing to the involvement of some physiological variables; the second nomogram, based on the two variables body weight and time for a 3.2 km run, does not require any laboratory facility for prediction of maximal aerobic power. Both nomograms have limited validity. The first is most reliable in the range 1.83-3.28 l.min-1; the second is best in the range 1.76-3.06 l.min-1 of maximal aerobic power.

Body Weight↗
PubMed1993

Phase II study of weekly edatrexate as first-line chemotherapy for metastatic breast cancer: a National Cancer Institute of Canada Clinical Trials Group study.

PURPOSE: The National Cancer Institute of Canada (NCIC) Clinical Trials Group conducted a phase II study to assess the efficacy and toxicity of edatrexate, a folate antagonist, in 35 patients with metastatic breast cancer. PATIENTS AND METHODS: The planned dose of edatrexate was 80 mg/m2/wk administered intravenously as first-line therapy. Prior adjuvant chemotherapy was allowed provided at least 12 months had elapsed from the completion of treatment to the development of recurrence. RESULTS: Mucositis was the dose-limiting toxicity in 34 assessable patients, resulting in a mean delivered dose-intensity of 57 mg/m2/wk. Other toxicities included myelosuppression, rash, pneumonitis, and increased AST. Side effects were generally mild to moderate. The complete plus partial remission rate (13 patients; 41%) was impressive. CONCLUSION: Edatrexate is an active agent against metastatic breast cancer, with acceptable toxicity. A lower than planned delivered dose-intensity was mainly due to mucositis.

Adult↗
PubMed1993

Experimental studies on the treatment of frostbite in rats.

The effect of treatment by high dose of vitamin C, rapid rewarming by 37 degrees C water alone and with vitamin C, rapid rewarming by 37 degrees C decoction of Indian black tea alone and with vitamin C for experimentally produced frostbite was evaluated in 6 groups (25 each) of rats. Frostbite was produced experimentally in the hind limbs by exposing the animals at -15 degrees C for 1h using the harness technique. The degree of injury was assessed and classified on the basis of tissue necrosis at the end of 15 days. Administration of high dose of vitamin C for prolonged period and rapid rewarming at 37 degrees C water bath immediately after cold exposure apparently reduced the tissue damage. High dose of vitamin C therapy preceded by rapid rewarming in plain water showed additional benefit. Rapid rewarming in decoction of Indian tea resulted in identical beneficial effect. The degree of tissue preservation was highest with rapid rewarming in tea decoction followed by high dose of vitamin C.

Animals↗
PubMed1991

Height-weight relationship in young healthy Indian girls.

The relationship between height and weight in young healthy Indian girls (8--18 years) was developed. It is concluded that the relationship of the form:log w = 0.98 h + 0.14 holds good to the data on height h (in metres) and weight w (in kilograms) for this group of subjects, the logarithm is taken to the base 10. The results of the present study show that Ehrenberg's equation of the form : log w = 0.8 h + 0.4 may not be extended upto the age of 18 years in young healthy Indian girls.

Adolescent↗
PubMed1990

Height-weight relationship in young healthy Indian males.

Height-weight relationship in young healthy Indian males (19-22 yrs.) has been established. It is concluded that the relationship of the form: log w = 1.18 + 0.35 h fits well to the data on height h (in metres) and weight w (in kilograms) for this group of subjects, the logarithm is taken to the base 10. The results of the present study show that Ehrenberg's equation of the form: log w = 0.8 h + 0.4 cannot be extended beyond the age of 18 years in young healthy Indian males.

Adult↗
PubMed1984

Some simple multiple linear regression equations for estimation of maximal aerobic power in healthy Indian males.

An attempt has been made to evolve some simple multiple linear regression equations for the prediction of VO2 max from body weight, time for 3.2 km run and exercise dyspnoeic index ( DIstd Ex%). The predictor variables have been selected by examining the product moment correlations of body weight, relative body weight indices, time for 3.2 km run, chest expansion, height, and DIstd Ex% with VO2 max, based on data collected on 320 healthy Indian males (17-22 years). It has been observed that body weight, time for 3.2 km run and DIstd Ex% attained maximum correlations with VO2 max. Thus, two regression equations with two and three predictor variables have been established in this paper to predict VO2 max. The first regression equation yielded a multiple correlation of 0.608 (P less than 0.001) with a standard error of 0.214 1 X min-1. In this equation, body weight and time for 3.2 km run were considered as significant predictors. To increase the precision of this equation, another multiple linear regression equation based on body weight, time for 3.2 km run and DIstd Ex% as predictors has been developed. This equation yielded a multiple correlation of 0.658 (P less than 0.001) with a standard error of 0.204 1 X min-1. Applications of these regression equations will be of practical importance to biomedical scientists engaged in the development of a simple procedure for indirect assessment of VO2 max, and may serve well as preliminary screening procedures for personnel selection.

Adolescent↗
PubMed1983

Prediction of body volume by a stepwise linear regression technique.

Body volume and 35 anthropometric measurements were obtained from 88 active soldiers using standard techniques. These anthropometric measurements were examined for their possible relationships to body volume using stepwise linear regression analysis. Four measurements (Body weight, anterior thigh skinfold thickness, subscapular skinfold thickness and suprailiac skinfold thickness) accounted for 99.7% of the variation in body volume and the introduction of each of these measurements in the equation was significant. The regression equation for predicting body volume from these 4 anthropometric measurements had a multiple correlation coefficient of 0.9987 (P less than 0.001). Body weight alone was correlated with body volume to the extent of 0.9966. An attempt has therefore been made to develop a multiple linear regression equation without incorporation of body weight in the regression analysis. Nine measurements were selected by stepwise linear regression analysis for predicting body volume. These nine measurements accounted for 97.1% of the variation in body volume. These equations have been validated on another small sample of 22 soldiers. The analysis has also revealed that a direct regression of body density from the anthropometric variables gives more accurate results than when estimated body volumes are utilized for calculating body density.

Adolescent↗
PubMed1977

Prediction of maximal aerobic power in man.

A general prediction formula has been derived for predicting maximal aerobic power (VO2 max) based on nonlinear relationship between aerobic stress and cardiorespiratory strains imposed on the subject during submaximal exercise on bicycle ergometer. The validity of the prediction formula has been tested for the data consisting of 135 observations on 45 moderately active young subjects who were asked to exercise on the bicycle ergometer at three submaximal and one maximal work rate. It has been found that product moment correlations of aerobic stress with respiratory strain and cardiac strain expressed logarithmically were 0.7651 and 0.7457 respectively. These correlations were significant (P less than 0.001). The multiple correlation between observed and estimated aerobic stress expressed logarithmically in terms of cardiorespiratory strains was 0.8142 which was significant (P less than 0.001). There is a significant improvement in multiple correlation from the product moment correlations of aerobic stress with either of two strains expressed logarithmically. It has been conclusively established that combined index of cardioresiratory strains will be better predictor of aerobic stress than either respiratory or cardiac strain alone as commonly employed by several workers.

Aerobiosis↗
PubMed1977

Estimation of body density and lean body weight from body measurements at high altitude.

Body density and other anthropometric data were obtained on 101 Indian soldiers who were continously staying at high altitude (3920 m) for more than 10 months. Use was made of a human body volumeter, and body density was calculated from observed body weight and volume. Measurements were taken on the body using standard techniques. A stepwise linear regression analysis was performed to establish possible relationships of 36 body measurements with density and lean body weight. Thigh anterior, juxta-nipple skin folds and forearm and ankle circumference were selected in the regression equation predicting body density. Multiple correlation coefficient (R) equal to 0.765 was obtained for this equation. For the predicted lean body weight, R equalled 0.930. The regression equations included body weight, thigh, anterior and juxta-nipple skin fold thicknesses, and forearm circumference. Contribution of other body measurements in the regression of these parameters was not significant. The analysis also revealed that a new set of coefficients is required for the measurements included in the published regression equations.

Adipose Tissue↗