ABSTRACT
BACKGROUND: Polycystic ovarian syndrome (PCOS) has become an emerging disorder affecting women of reproductive age group. Its intricate presentation of signs and symptoms makes it a disease of interest to research. While there are varied hypotheses related to its cause and pathogenesis, role of stress in this disease is yet to be grounded. There is emerging body of evidence on cortisol and PCOS, although it is currently equivocal. METHODS: Medline, Embase, Pubmed, Science Direct, Google Scholar, and Scopus were searched from March 1985 to March 2020 using MeSH terms. After dual quality assessments and data abstraction, the final articles were included for meta-analysis. RESULTS: Forty-one studies qualified for the analysis. Pooled meta-analysis showed that the level of cortisol was significantly higher in PCOS when compared to healthy controls (standard mean difference [SMD] = 0.83, 95% confidence interval [CI] = 0.42-1.23) with highly significant heterogeneity (I2 = 94%). Subgroup analysis done based on type of sample stated high effect size for blood cortisol levels (SMD = 0.9, 95%CI = 0.32; 1.51) compared to overall effect. CONCLUSIONS: This systematic review and meta-analysis on cortisol and PCOS have helped in generating evidence regarding the role of cortisol in the pathogenesis of PCOS and the use of cortisol estimation as a potential stress marker in PCOS.
Subject(s)
Hydrocortisone/blood , Polycystic Ovary Syndrome/blood , Case-Control Studies , Female , HumansABSTRACT
OBJECTIVES: Dynamic pupillometry is a simple screening tool for quantifying pupillary light reflex (PLR), to indicate autonomic nervous system (ANS) activity. Heart rate variability (HRV) is the gold standard method for assessing ANS effects on the heart. The present study aimed to compare ANS activity as measured using dynamic pupillometry (DP) with short term HRV in healthy volunteers. METHODS: The study includes 200 participants aged between 20-60 years. PLR was measured using infrared videography and categorized into different quantitative parameters that reflect ANS activity. Simultaneously, Lead II ECG was recorded for 5â¯min to evaluate the short term HRV of time and frequency domain parameters. The data obtained from the two methods were compared with each other to provide the relationship between PLR and HRV. RESULTS: Study participants' mean age was 36.95⯱â¯9.45 years. The different pupillary indices of PLR and all the HRV parameters were within the range of normative data. Several PLR indicators of the parasympathetic function include mean constriction velocity (MCV; râ¯=â¯0.60, Pâ¯<â¯0.001), absolute constriction amplitude (ACA; râ¯=â¯0.57, Pâ¯<â¯0.001) baseline pupil diameter (BPD; râ¯=â¯0.44, pâ¯<â¯0.001), and minimum pupil diameter (MPD; râ¯=â¯-0.35, pâ¯<â¯0.001) were significantly correlated with high-frequency power (HF in normalized units) of HRV signal. CONCLUSION: PLR variables showed a significant relationship to HRV indices. Dynamic pupillometry can be a complementary tool to HRV for evaluating ANS activity.