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Impact of Severity of Illness on the Function of the Hypothalamo-pituitary-gonadal Axis in Postmenopausal Women with Acute Severe Illness: Implications for Predicting Disease Outcome

BACKGROUND: While elevated levels of estradiol were predictive of mortality in critically ill surgical and trauma patients, their ability to predict outcome in nonsurgical patients has not been studied. We aimed to study the determinants of gonadotropin levels in acutely ill postmenopausal women wit...

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Autores principales: Vaikkakara, Suresh, Raj, Marella Neelima, Sachan, Alok, Mohan, Alladi, Vengamma, Bhuma, Rao, P. V. L. N. Srinivas, Mukka, Arun, Sravani, Chiruvella, Reddy, Amaresh P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628547/
https://www.ncbi.nlm.nih.gov/pubmed/28989885
http://dx.doi.org/10.4103/ijem.IJEM_398_16
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author Vaikkakara, Suresh
Raj, Marella Neelima
Sachan, Alok
Mohan, Alladi
Vengamma, Bhuma
Rao, P. V. L. N. Srinivas
Mukka, Arun
Sravani, Chiruvella
Reddy, Amaresh P.
author_facet Vaikkakara, Suresh
Raj, Marella Neelima
Sachan, Alok
Mohan, Alladi
Vengamma, Bhuma
Rao, P. V. L. N. Srinivas
Mukka, Arun
Sravani, Chiruvella
Reddy, Amaresh P.
author_sort Vaikkakara, Suresh
collection PubMed
description BACKGROUND: While elevated levels of estradiol were predictive of mortality in critically ill surgical and trauma patients, their ability to predict outcome in nonsurgical patients has not been studied. We aimed to study the determinants of gonadotropin levels in acutely ill postmenopausal women with nonsurgical disease and the impact of changes in the gonadal axis on the outcome of these patients. METHODS: Thirty-five postmenopausal women admitted to medical intensive care with acute severe illness and having a Simplified Acute Physiology Score (SAPS II score) ≥30 (in-hospital mortality rate ≥ 10%) were recruited. On the 5(th) day of hospitalization, fasting samples were collected at 8.00 am and tested for luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol, free triiodothyronine, free thyroxine, thyrotropin, cortisol, prolactin, dehydroepiandrosterone, androstenedione, and sex hormone-binding globulin. Multiple linear regression analysis was performed to identify independent determinants if any of LH and FSH. Receiver operating characteristic (ROC) curves were drawn for different cutoffs of LH, FSH, and estradiol to diagnose mortality and prolonged hospitalization. RESULTS: There was an independent negative association between the FSH and the SAPS II score (beta = −0.435; P = 0.014), but not with any of the other tested parameters (estradiol, prolactin, or cortisol). Among components of the SAPS II score, the total leukocyte count (TLC) was negatively associated with serum FSH (beta coefficient = −0.635, P = 0.013). None of these parameters were determinants of LH. On ROC analysis, neither estradiol nor gonadotropins were diagnostic for in-hospital mortality. However, among survivors, low estradiol was diagnostic for prolonged hospital stay (area under the curve = 0.785; P = 0.015). CONCLUSION: FSH, but not LH, is negatively associated with the severity of illness, particularly to its inflammatory component (TLC). Low estradiol in survivors was a predictor of prolonged hospital stay.
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spelling pubmed-56285472017-10-06 Impact of Severity of Illness on the Function of the Hypothalamo-pituitary-gonadal Axis in Postmenopausal Women with Acute Severe Illness: Implications for Predicting Disease Outcome Vaikkakara, Suresh Raj, Marella Neelima Sachan, Alok Mohan, Alladi Vengamma, Bhuma Rao, P. V. L. N. Srinivas Mukka, Arun Sravani, Chiruvella Reddy, Amaresh P. Indian J Endocrinol Metab Original Article BACKGROUND: While elevated levels of estradiol were predictive of mortality in critically ill surgical and trauma patients, their ability to predict outcome in nonsurgical patients has not been studied. We aimed to study the determinants of gonadotropin levels in acutely ill postmenopausal women with nonsurgical disease and the impact of changes in the gonadal axis on the outcome of these patients. METHODS: Thirty-five postmenopausal women admitted to medical intensive care with acute severe illness and having a Simplified Acute Physiology Score (SAPS II score) ≥30 (in-hospital mortality rate ≥ 10%) were recruited. On the 5(th) day of hospitalization, fasting samples were collected at 8.00 am and tested for luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol, free triiodothyronine, free thyroxine, thyrotropin, cortisol, prolactin, dehydroepiandrosterone, androstenedione, and sex hormone-binding globulin. Multiple linear regression analysis was performed to identify independent determinants if any of LH and FSH. Receiver operating characteristic (ROC) curves were drawn for different cutoffs of LH, FSH, and estradiol to diagnose mortality and prolonged hospitalization. RESULTS: There was an independent negative association between the FSH and the SAPS II score (beta = −0.435; P = 0.014), but not with any of the other tested parameters (estradiol, prolactin, or cortisol). Among components of the SAPS II score, the total leukocyte count (TLC) was negatively associated with serum FSH (beta coefficient = −0.635, P = 0.013). None of these parameters were determinants of LH. On ROC analysis, neither estradiol nor gonadotropins were diagnostic for in-hospital mortality. However, among survivors, low estradiol was diagnostic for prolonged hospital stay (area under the curve = 0.785; P = 0.015). CONCLUSION: FSH, but not LH, is negatively associated with the severity of illness, particularly to its inflammatory component (TLC). Low estradiol in survivors was a predictor of prolonged hospital stay. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5628547/ /pubmed/28989885 http://dx.doi.org/10.4103/ijem.IJEM_398_16 Text en Copyright: © 2017 Indian Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Vaikkakara, Suresh
Raj, Marella Neelima
Sachan, Alok
Mohan, Alladi
Vengamma, Bhuma
Rao, P. V. L. N. Srinivas
Mukka, Arun
Sravani, Chiruvella
Reddy, Amaresh P.
Impact of Severity of Illness on the Function of the Hypothalamo-pituitary-gonadal Axis in Postmenopausal Women with Acute Severe Illness: Implications for Predicting Disease Outcome
title Impact of Severity of Illness on the Function of the Hypothalamo-pituitary-gonadal Axis in Postmenopausal Women with Acute Severe Illness: Implications for Predicting Disease Outcome
title_full Impact of Severity of Illness on the Function of the Hypothalamo-pituitary-gonadal Axis in Postmenopausal Women with Acute Severe Illness: Implications for Predicting Disease Outcome
title_fullStr Impact of Severity of Illness on the Function of the Hypothalamo-pituitary-gonadal Axis in Postmenopausal Women with Acute Severe Illness: Implications for Predicting Disease Outcome
title_full_unstemmed Impact of Severity of Illness on the Function of the Hypothalamo-pituitary-gonadal Axis in Postmenopausal Women with Acute Severe Illness: Implications for Predicting Disease Outcome
title_short Impact of Severity of Illness on the Function of the Hypothalamo-pituitary-gonadal Axis in Postmenopausal Women with Acute Severe Illness: Implications for Predicting Disease Outcome
title_sort impact of severity of illness on the function of the hypothalamo-pituitary-gonadal axis in postmenopausal women with acute severe illness: implications for predicting disease outcome
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628547/
https://www.ncbi.nlm.nih.gov/pubmed/28989885
http://dx.doi.org/10.4103/ijem.IJEM_398_16
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