Background: With rising trends of infertility in India, it is no longer just a medical concern, but is rapidly becoming a public health issue due to its social and interpersonal ramifications. Limited data is available regarding quality of life of the infertile couples. Aim: The aim of this study was to understand the quality of life (QOL) of Indian infertile couples using the fertility QOL (FertiQoL) tool and to find the correlation between the values of the core and treatment FertiQoL and various sociodemographic and clinical factors. Study Setting and Design: This cross-sectional study was conducted at fertility clinic at an urban tertiary care center. Materials and Methods: Over a period of 12 months, 274 completed questionnaires obtained from 137 couples were selected for the analysis. Demographic and clinical characteristics of all the patients were recorded. Data analysis was performed using the Statistical Package for the Social Sciences software version 25:0. IBM Chicago, USA. Results: Women had worse QOL than their male partners. They scored lower than men on emotional and mind body subscales. Women showed positive and uniform trend in mean scores of all core FertiQoL subscales with age and education. Rural population had poorer QOL. Patients with primary infertility had poorer QOL except in the relational domain. Couples, in whom both partners had some pathology, had the worse QOL compared to female factor, male factor or unexplained infertility. Conclusion: Our study is a step in the direction to establish the baseline QOL objectively in Indian couples with infertility.

Background: Diagnosis and treatment of infertility is an elaborate process. The goal of treating clinician is to decide upon the plan of management best suited to the couple by selecting relevant investigations and procedures from available options. Objective was to determine the role of hysterolaparoscopy in the management of infertility.  Methods: This retrospective study was conducted at a tertiary canter (Department of reproductive medicine and surgery) over a period of 12 months-January 2019 to December 2019. Women aged 20-40 years with primary or secondary infertility, except male factor infertility, undergoing hysterolaparoscopy were included. Results: Out of 41 cases, 71.84% patients had primary infertility. Common laparoscopic abnormalities were adhesions (36.5%) and endometriosis (17.07%) Hysteroscopy revealed polyps (9.7%) and intrauterine synechia (4.8%) as common pathologies. The diagnosed pathologies were dealt surgically in the same sitting. Plan of infertility treatment could be outlined in all patients based on intraoperative findings. Conclusion: Hysterolaparoscopy serves both diagnostic and therapeutic purpose. Various pelvic, peritoneal, tubal, endometrial and uterine factors can be diagnosed and treated at the same time. The clinician has to be well versed and skilled in selecting and performing the appropriate surgery. Clinical information gained from hysterolaparoscopy helps in decision making and designing individualized, evidence-based treatment plan can for the patients.

Background: Polycystic Ovary Disease Syndrome (PCOS) and NAFLD are interlinked with the common culprit i.e. Insulin resistance (IR). The triglyceride and glucose index (TyG) has been recommended as a reliable and simple surrogate index for IR. So we evaluated TyG index, TyG–BMI index as a marker of IR and its correlation with liver transaminases (ALT, AST) to detect NAFLD in women with PCOS. Aim and Objectives: Correlation of TyG index and TyG-BMI index and liver transaminases (ALT, AST) in study groups. Materials and methods: A prospective study was done on 25 participants (14 controls and 11cases of PCOS according to Rotterdam’s criteria). The TG, FBG, ALT and AST were analyzed on autoanlyzers. TyG -BMI index was calculated by the formula and correlation was done. Result: The ROC Curve showed the optimal cut off value for TyG index as 4.55 and TyG –BMI index in PCOS as 104.76. The positive linear regression was 2.55 for TyG index indicating that test was associated with IR. TyG index has shown the better performance as compared to TyG BMI index. No significant correlation was found between TyG index, TyG BMI index and transaminases. Conclusion: TG and FBG are inexpensive and routinely performed investigations. TyG index which can be easily calculated makes it the first choice screening alternative to detect risk of IR in PCOS women. Keywords: PCOS, TyG -BMI index, Nonalcoholic fatty liver disease, liver transaminases