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      Heart rate variability among women undergoing in vitro fertilization treatment: Its predictive ability for pregnancy

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          Abstract

          Objective

          This study aimed to assess predictive ability of heart rate variability (HRV) for pregnancy outcomes with in vitro fertilization (IVF) treatment.

          Research design and method

          A total of 180 women with 261 cycles of IVF and 211 embryo transfers (ETs) were analyzed. HRV was measured at four times during IVF treatment: the first date of menstruation, r-HCG (Ovidrel) administration, and before and after ET. Pregnancy indicators included chemical pregnancy, ongoing pregnancy (> 10 weeks), and live birth (pregnancy > 24 weeks). Mixed effect models were applied to identify predictors for IVF pregnancy. The area under the receiver operating characteristic curve (AUC) was used to assess prediction models for pregnancy.

          Results

          The HRV values increased during IVF treatment and then decreased after ET. The trend of changes in HRV values during IVF treatment was significant among patients with chemical pregnancy ( p < 0.01) and those with live birth ( p = 0.02). Women without pregnancy had lower HRV compared to those with IVF pregnancy ( p < 0.05). With a one unit increase in HRV difference before and after ET, the odds of chemical pregnancy decreased by 18% (odds ratio; OR: 0.82, 95% CI: 0.70–0.97, p < 0.02). With a one year increase in maternal age, the odds decreased by 16% (OR: 0.84, 95% CI: 0.76–0.93, p < 0.01), 25% (OR: 0.75, 95% CI: 0.58–0.93, p = 0.02), and 28% (OR: 0.72, 95% CI: 0.54–0.91, p = 0.01) for chemical pregnancy, ongoing pregnancy, and live birth, respectively. The AUCs were 0.77 (95% CI: 0.70, 0.84), 0.89 (0.79, 0.98), and 0.91(0.83, 0.99) for the prediction models for chemical pregnancy, ongoing pregnancy, and live birth, respectively.

          Conclusions

          Reduced HRV may be an indicator for low chance of IVF pregnancy. The changes in HRV before and after ET and maternal age might be prognostic predictors of IVF pregnancy.

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          Most cited references23

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          Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine.

          The clinical performance of a laboratory test can be described in terms of diagnostic accuracy, or the ability to correctly classify subjects into clinically relevant subgroups. Diagnostic accuracy refers to the quality of the information provided by the classification device and should be distinguished from the usefulness, or actual practical value, of the information. Receiver-operating characteristic (ROC) plots provide a pure index of accuracy by demonstrating the limits of a test's ability to discriminate between alternative states of health over the complete spectrum of operating conditions. Furthermore, ROC plots occupy a central or unifying position in the process of assessing and using diagnostic tools. Once the plot is generated, a user can readily go on to many other activities such as performing quantitative ROC analysis and comparisons of tests, using likelihood ratio to revise the probability of disease in individual subjects, selecting decision thresholds, using logistic-regression analysis, using discriminant-function analysis, or incorporating the tool into a clinical strategy by using decision analysis.
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            The relationship between mental and physical health: insights from the study of heart rate variability.

            Here we review our recent body of work on the impact of mood and comorbid anxiety disorders, alcohol dependence, and their treatments on heart rate variability (HRV), a psychophysiological marker of mental and physical wellbeing. We have shown that otherwise healthy, unmedicated patients with these disorders display reduced resting-state HRV, and that pharmacological treatments do not ameliorate these reductions. Other studies highlight that tricyclic medications and the serotonin and noradrenaline reuptake inhibitors in particular may have adverse cardiovascular consequences. Reduced HRV has important functional significance for motivation to engage social situations, social approach behaviours, self-regulation and psychological flexibility in the face of stressors. Over the longer-term, reduced HRV leads to immune dysfunction and inflammation, cardiovascular disease and mortality, attributable to the downstream effects of a poorly functioning cholinergic anti-inflammatory reflex. We place our research in the context of the broader literature base and propose a working model for the effects of mood disorders, comorbid conditions, and their treatments to help guide future research activities. Further research is urgently needed on the long-term effects of autonomic dysregulation in otherwise healthy psychiatric patients, and appropriate interventions to halt the progression of a host of conditions associated with morbidity and mortality. © 2013 Elsevier B.V. All rights reserved.
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              Low heart rate variability in a 2-minute rhythm strip predicts risk of coronary heart disease and mortality from several causes: the ARIC Study. Atherosclerosis Risk In Communities.

              Low heart rate variability (HRV) is associated with a higher risk of death in patients with heart disease and in elderly subjects and with a higher incidence of coronary heart disease (CHD) in the general population. We studied the predictive value of HRV for CHD and death from several causes in a population study of 14 672 men and women without CHD, aged 45 to 65, by using the case-cohort design. At baseline, in 1987 to 1989, 2-minute rhythm strips were recorded. Time-domain measures of HRV were determined in a random sample of 900 subjects, for all subjects with incident CHD (395 subjects), and for all deaths (443 subjects) that occurred through 1993. Relative rates of incident CHD and cause-specific death in tertiles of HRV were computed with Poisson regression for the case-cohort design. Subjects with low HRV had an adverse cardiovascular risk profile and an elevated risk of incident CHD and death. The increased risk of death could not be attributed to a specific cause and could not be explained by other risk factors. Low HRV was associated with increased risk of CHD and death from several causes. It is hypothesized that low HRV is a marker of less favorable health.
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                Author and article information

                Contributors
                Role: InvestigationRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Resources
                Role: ConceptualizationRole: Resources
                Role: ConceptualizationRole: Resources
                Role: ConceptualizationRole: Resources
                Role: ConceptualizationRole: Resources
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                12 March 2018
                2018
                : 13
                : 3
                : e0193899
                Affiliations
                [1 ] Division of Obstetrics and Gynecology, Department of Internal Medicine, National Cheng Kung University Hospital, Tainan, Taiwan
                [2 ] School of Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
                [3 ] Department of Statistics, National Cheng Kung University, Tainan, Taiwan
                [4 ] Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
                [5 ] Department of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
                [6 ] Department of Pharmacy, National Cheng Kung University Hospital, Tainan, Taiwan
                Pondicherry Institute of Medical Sciences, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-5475-7848
                Article
                PONE-D-17-35059
                10.1371/journal.pone.0193899
                5846774
                29529100
                a7792b23-249f-4a71-806a-781f9cc0c0a1
                © 2018 Wu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 September 2017
                : 19 February 2018
                Page count
                Figures: 3, Tables: 2, Pages: 12
                Funding
                The author(s) received no specific funding for this work. There is no funding support for this research.
                Categories
                Research Article
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Medicine and Health Sciences
                Urology
                Infertility
                Male Infertility
                Medicine and Health Sciences
                Urology
                Infertility
                Female Infertility
                Medicine and Health Sciences
                Cardiology
                Heart Rate
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Psychological Stress
                Biology and Life Sciences
                Psychology
                Psychological Stress
                Social Sciences
                Psychology
                Psychological Stress
                Biology and Life Sciences
                Anatomy
                Nervous System
                Autonomic Nervous System
                Medicine and Health Sciences
                Anatomy
                Nervous System
                Autonomic Nervous System
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Forecasting
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Forecasting
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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