Point of care ultrasound (POCUS) is being explored for dynamic measurements like inferior vena cava collapsibility index (IVC-CI) and left ventricular outflow tract velocity time integral (LVOT-VTI) to guide anesthesiologists in predicting fluid responsiveness in the preoperative period and in treating post-induction hypotension (PIH) with varying accuracy. Methods: In this prospective, observational study on included 100 adult patients undergoing elective surgery under general anesthesia, the LVOT-VTI and IVC-CI measurements were performed in the preoperative room 15 minutes prior to surgery, and PIH was measured for 20 minutes in the post-induction period. Results: The incidence of PIH was 24%. The area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of the two techniques at 95% confidence interval was 0.613, 30.4%, 93.3%, 58.3%, 81.4%, 73.6% for IVC-CI and 0.853, 83.3%, 80.3%, 57.1%, 93.8%, 77.4% for LVOT-VTI, respectively. In multivariate analysis, the cutoff value for IVC-CI was >51.5 and for LVOT-VTI it was ≤17.45 for predicting PIH with odd ratio [OR] of 8.491 (P=0.025) for IVCCI and OR of 17.427 (P<0.001) for LVOT. LVOT-VTI assessment was possible in all the patients, while 10% of patients were having poor window for IVC measurements. Conclusions: We recommend the use of POCUS using LVOT-VTI or IVC-CI to predict PIH, to decrease the morbidity of patients undergoing surgery. Out of these, we recommend LVOT-VTI measurements as it has showed a better diagnostic accuracy (77.4%) with no failure rate.

Point of care ultrasound (POCUS) is being explored for dynamic measurements like inferior vena cava collapsibility index (IVC-CI) and left ventricular outflow tract velocity time integral (LVOT-VTI) to guide anesthesiologists in predicting fluid responsiveness in the preoperative period and in treating post-induction hypotension (PIH) with varying accuracy. Methods: In this prospective, observational study on included 100 adult patients undergoing elective surgery under general anesthesia, the LVOT-VTI and IVC-CI measurements were performed in the preoperative room 15 minutes prior to surgery, and PIH was measured for 20 minutes in the post-induction period. Results: The incidence of PIH was 24%. The area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of the two techniques at 95% confidence interval was 0.613, 30.4%, 93.3%, 58.3%, 81.4%, 73.6% for IVC-CI and 0.853, 83.3%, 80.3%, 57.1%, 93.8%, 77.4% for LVOT-VTI, respectively. In multivariate analysis, the cutoff value for IVC-CI was >51.5 and for LVOT-VTI it was ≤17.45 for predicting PIH with odd ratio [OR] of 8.491 (P=0.025) for IVCCI and OR of 17.427 (P<0.001) for LVOT. LVOT-VTI assessment was possible in all the patients, while 10% of patients were having poor window for IVC measurements. Conclusions: We recommend the use of POCUS using LVOT-VTI or IVC-CI to predict PIH, to decrease the morbidity of patients undergoing surgery. Out of these, we recommend LVOT-VTI measurements as it has showed a better diagnostic accuracy (77.4%) with no failure rate.

Point of care ultrasound (POCUS) is being explored for dynamic measurements like inferior vena cava collapsibility index (IVC-CI) and left ventricular outflow tract velocity time integral (LVOT-VTI) to guide anesthesiologists in predicting fluid responsiveness in the preoperative period and in treating post-induction hypotension (PIH) with varying accuracy. Methods: In this prospective, observational study on included 100 adult patients undergoing elective surgery under general anesthesia, the LVOT-VTI and IVC-CI measurements were performed in the preoperative room 15 minutes prior to surgery, and PIH was measured for 20 minutes in the post-induction period. Results: The incidence of PIH was 24%. The area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of the two techniques at 95% confidence interval was 0.613, 30.4%, 93.3%, 58.3%, 81.4%, 73.6% for IVC-CI and 0.853, 83.3%, 80.3%, 57.1%, 93.8%, 77.4% for LVOT-VTI, respectively. In multivariate analysis, the cutoff value for IVC-CI was >51.5 and for LVOT-VTI it was ≤17.45 for predicting PIH with odd ratio [OR] of 8.491 (P=0.025) for IVCCI and OR of 17.427 (P<0.001) for LVOT. LVOT-VTI assessment was possible in all the patients, while 10% of patients were having poor window for IVC measurements. Conclusions: We recommend the use of POCUS using LVOT-VTI or IVC-CI to predict PIH, to decrease the morbidity of patients undergoing surgery. Out of these, we recommend LVOT-VTI measurements as it has showed a better diagnostic accuracy (77.4%) with no failure rate.

Point of care ultrasound (POCUS) is being explored for dynamic measurements like inferior vena cava collapsibility index (IVC-CI) and left ventricular outflow tract velocity time integral (LVOT-VTI) to guide anesthesiologists in predicting fluid responsiveness in the preoperative period and in treating post-induction hypotension (PIH) with varying accuracy. Methods: In this prospective, observational study on included 100 adult patients undergoing elective surgery under general anesthesia, the LVOT-VTI and IVC-CI measurements were performed in the preoperative room 15 minutes prior to surgery, and PIH was measured for 20 minutes in the post-induction period. Results: The incidence of PIH was 24%. The area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of the two techniques at 95% confidence interval was 0.613, 30.4%, 93.3%, 58.3%, 81.4%, 73.6% for IVC-CI and 0.853, 83.3%, 80.3%, 57.1%, 93.8%, 77.4% for LVOT-VTI, respectively. In multivariate analysis, the cutoff value for IVC-CI was >51.5 and for LVOT-VTI it was ≤17.45 for predicting PIH with odd ratio [OR] of 8.491 (P=0.025) for IVCCI and OR of 17.427 (P<0.001) for LVOT. LVOT-VTI assessment was possible in all the patients, while 10% of patients were having poor window for IVC measurements. Conclusions: We recommend the use of POCUS using LVOT-VTI or IVC-CI to predict PIH, to decrease the morbidity of patients undergoing surgery. Out of these, we recommend LVOT-VTI measurements as it has showed a better diagnostic accuracy (77.4%) with no failure rate.

AIMTo evaluate the effect of an ethanolic extract of Semecarpus anacardium fruits on spermatogenesis in albino rats.

METHODSMale albino rats were fed with a 50 % ethanolic extract of Semecarpus anacardium fruit at 100 mg.kg(-1).day(-1), 200 mg.kg(-1).day(-1) and 300 mg.kg(-1).day(-1) for 60 days. Fertility test was performed after 60 days of treatment. Sperm motility and density were observed in the cauda epididymis. Biochemical and histological analyses of the blood and reproductive organs were done. Recovery of fertility was followed to evaluate the reversibility of drug action.

RESULTSS. anacardium fruit extract administration resulted in spermatogenic arrest in albino rats. The sperm motility and density was reduced significantly. The RBC and WBC counts, haemoglobin, haematocrit, blood sugar and urea were found to be within the normal range in the whole blood. The protein, cholesterol and glycogen in the testes and the fructose in the seminal vesicle were significantly decreased after the treatment. The fruit extract feeding caused marked reduction in the number of primary spermatocytes, secondary spermatocytes and spermatids. The number of mature Leydig cells was also decreased and degenerating cells increased proportionately.

CONCLUSIONS. anacardium fruit extract causes spermatogenic arrest in albino rats.

Animals ; Cell Count ; Dose-Response Relationship, Drug ; Leydig Cells ; cytology ; Male ; Plant Extracts ; administration & dosage ; pharmacology ; Rats ; Semecarpus ; chemistry ; Sperm Count ; Sperm Motility ; drug effects ; Spermatogenesis ; drug effects ; Testis ; cytology ; drug effects ; metabolism

Background: Many benefits are associated with early antenatal booking which include but are not limited to accurate dating, early detection of medical and obstetrical disorders that could make the pregnancy a high-risk pregnancy and affect its outcome, and objective assessment of maternal baselines such as identifying pre-existing risk factors, taking weight, blood pressure, blood sugar level and urinalysis. If done early, it may provide a picture of the pre-pregnancy condition of the woman. Aim: In the time period and setting looked at in this research, it was found that majority of the mothers booked late, however reasons for booking late were not sought as this was only a quantitative retrospective cohort study. From the outcomes measured, it was seen that anaemia was the most significant outcome associated with late bookers. PPH was also found to be significant amongst late bookers however other statistical analysis deemed it insignificant. Results The results of this study found that majority of the women (76,58%) booked late. Of these, women who booked late fell in the 15 to 25 age range, were of I-taukei ethnicity, were married, did domestic duties, attended secondary level of education and were multiparous. The most significant pregnancy outcome that was associated with late booking was found to be anaemia. The remaining outcomes were found to be insignificant.

Background/Aims: Exclusive enteral nutrition (EEN), an established modality for pediatric Crohn’s disease (CD) is seldomly utilized in adults. The present study reports the outcome of EEN in adult CD patients at a tertiary care hospital in India. Methods: This was a retrospective analysis of CD patients who received EEN as a sole modality/adjunct to other treatment. The primary and secondary outcomes changed in Crohn’s Disease Activity Index (CDAI), and clinical response (decline in CDAI > 70), respectively, at 4 and 8 weeks. Subgroup analysis evaluated response across different phenotypes, EEN formulations and prior treatment. Linear mixed effect model was created to assess the predictors of EEN response. Results: Thirty-one CD patients received EEN over median duration of 4 weeks (range, 2–6 weeks). CDAI showed a significant improvement post EEN at 4 (baseline 290 [260–320] vs. 240 [180–280], P= 0.001) and 8 weeks (baseline 290 [260–320] vs. 186 [160–240], P= 0.001), respectively. The cumulative clinical response rates at 4 and 8 weeks were 37.3% and 80.4% respectively. The clinical response rates at 8 weeks across B1 (n = 4), B2 (n = 18) and B3 (n = 9) phenotypes were 50%, 78.8% and 100% respectively (log-rank test, P= 0.093). The response rates at 8 weeks with polymeric (n = 8) and semi-elemental diet (n = 23) were 75% and 82.6%% respectively (log-rank test, P= 0.49). Baseline CDAI (odds ratio, 1.008; 95% confidence interval, 1.002–1.017; P= 0.046) predicted response to EEN. Conclusions EEN was effective in inducing clinical response across different phenotypes of CD. Baseline disease activity remained the most important predictor of clinical response to EEN.

Background/Aims: Exclusive enteral nutrition (EEN), an established modality for pediatric Crohn’s disease (CD) is seldomly utilized in adults. The present study reports the outcome of EEN in adult CD patients at a tertiary care hospital in India. Methods: This was a retrospective analysis of CD patients who received EEN as a sole modality/adjunct to other treatment. The primary and secondary outcomes changed in Crohn’s Disease Activity Index (CDAI), and clinical response (decline in CDAI > 70), respectively, at 4 and 8 weeks. Subgroup analysis evaluated response across different phenotypes, EEN formulations and prior treatment. Linear mixed effect model was created to assess the predictors of EEN response. Results: Thirty-one CD patients received EEN over median duration of 4 weeks (range, 2–6 weeks). CDAI showed a significant improvement post EEN at 4 (baseline 290 [260–320] vs. 240 [180–280], P= 0.001) and 8 weeks (baseline 290 [260–320] vs. 186 [160–240], P= 0.001), respectively. The cumulative clinical response rates at 4 and 8 weeks were 37.3% and 80.4% respectively. The clinical response rates at 8 weeks across B1 (n = 4), B2 (n = 18) and B3 (n = 9) phenotypes were 50%, 78.8% and 100% respectively (log-rank test, P= 0.093). The response rates at 8 weeks with polymeric (n = 8) and semi-elemental diet (n = 23) were 75% and 82.6%% respectively (log-rank test, P= 0.49). Baseline CDAI (odds ratio, 1.008; 95% confidence interval, 1.002–1.017; P= 0.046) predicted response to EEN. Conclusions EEN was effective in inducing clinical response across different phenotypes of CD. Baseline disease activity remained the most important predictor of clinical response to EEN.