Background: Amenorrhea is the absence of menstrual periods. It has multiple social consequences as it may leads to infertility. This case control study was conducted for determining the association of thyroid hormones with hyperprolactinemia in patient with amenorrhea. Methods: We investigated 50 women with diagnosed cases of secondary amenorrhoea, who attended UCMS hospital, for hormonal evaluations. Fifty two healthy women were taken as the controls. The thyroid dysfunction and serum prolactin level were reviewed in cases and in the controls. Results: Mean serum prolactin level was found to be significantly higher in the cases as compared to the controls. Mean serum fT3 and fT4 level in the hyperprolactinemic cases (mean = 2.67, SD = 1.04 pg/ml) and (mean = 1.38, SD = 0.51 ng/dl respectively) were slightly lower as compared to normoprolactinemic cases (mean = 3.21, SD = 1.86 pg/ml) and (mean = 1.73, SD = 1.37 ng/dl) respectively. Mean TSH of normoprolactinemic and hyperprolactinemic cases were comparable (P = 0.049). There was positive correlation between prolactin, BMI and TSH whereas negative correlation of prolactin was seen with fT3, fT4 and age. In hyperprolactainemic cases, prolactin was found to be negatively correlated with TSH (r = -0.155, P = 0.491) whereas prolactin was positively correlated with TSH (r = 0.296, P = 0.126) in normoprolactainemic cases. Conclusions: Thus, hyperprolactinemia with thyroid dysfunction may be contributory hormonal factor in patient with amenorrhoea and as such, estimation of prolactin, fT3, fT4 and TSH should be included for diagnostic evaluation of amenorrhea.

BACKGROUND: Thyroid dysfunction (TD) and metabolic syndrome (MetS) are known risk factors for atherosclerotic cardiovascular disease (ASCVD). TD is risk factor for ASCVD mediated by the effects of thyroid hormones on lipid metabolism and blood pressure hence the components of MetS. It is possible that coexistence of these two disease entities and unrecognized TD in patients with MetS might substantially increase ASCVD risk. Moreover, little is known about the relationship between TD and the components of MetS. Thus, the purpose of this study was to evaluate the pattern of TD in patients with MetS and its relationship with components of the MetS. METHODS: A total of 358 previously diagnosed patients with MetS were recruited in the study. The thyroid function test parameters were measured to classify TD at Dhulikhel Hospital-Kathmandu University Hospital, Dhulikhel, Nepal. Statistical analyses were performed using SPSS version 16.0 to evaluate pattern and relationship. RESULTS: The overall prevalence of TD in patients with MetS was 31.84% with high prevalence of subclinical hypothyroidism (29.32%). We found no evidence of a relationship between TD and components of MetS, although there was significant difference in waist circumference between four groups of TD. CONCLUSION: Patients with MetS had subclinical hypothyroidism greatly. Although there was no evidence of any relationship between thyroid status and all components of MetS, TD should be taken into account when evaluating and treating patients with MetS to reduce the impending risk.
Blood Pressure ; Cardiovascular Diseases ; Humans ; Hypothyroidism ; Lipid Metabolism ; Nepal ; Prevalence ; Risk Factors ; Thyroid Function Tests ; Thyroid Gland* ; Thyroid Hormones ; Waist Circumference

PURPOSE: Different students may adopt different learning approaches: namely, deep and surface. This study aimed to characterize the learning strategies of medical students at Trinity School of Medicine and to explore potential correlations between deep learning approach and the students' academic scores. METHODS: The study was a questionnaire-based, cross-sectional, observational study. A total of 169 medical students in the basic science years of training were included in the study after giving informed consent. The Biggs's Revised Two-Factor Study Process Questionnaire in paper form was distributed to subjects from January to November 2017. For statistical analyses, the Student t-test, 1-way analysis of variance followed by the post-hoc t-test, and the Pearson correlation test were used. The Cronbach alpha was used to test the internal consistency of the questionnaire. RESULTS: Of the 169 subjects, 132 (response rate, 78.1%) completely filled out the questionnaires. The Cronbach alpha value for the items on the questionnaire was 0.8. The score for the deep learning approach was 29.4±4.6, whereas the score for the surface approach was 24.3±4.2, which was a significant difference (P<0.05). A positive correlation was found between the deep learning approach and students' academic performance (r= 0.197, P<0.05, df= 130). CONCLUSION: Medical students in the basic science years at Trinity School of Medicine adopted the deep learning approach more than the surface approach. Likewise, students who were more inclined towards the deep learning approach scored significantly higher on academic tests.
Humans ; Informed Consent ; Learning ; Observational Study ; Saint Vincent and the Grenadines ; Students, Medical

PURPOSE: Different students may adopt different learning approaches: namely, deep and surface. This study aimed to characterize the learning strategies of medical students at Trinity School of Medicine and to explore potential correlations between deep learning approach and the students' academic scores. METHODS: The study was a questionnaire-based, cross-sectional, observational study. A total of 169 medical students in the basic science years of training were included in the study after giving informed consent. The Biggs's Revised Two-Factor Study Process Questionnaire in paper form was distributed to subjects from January to November 2017. For statistical analyses, the Student t-test, 1-way analysis of variance followed by the post-hoc t-test, and the Pearson correlation test were used. The Cronbach alpha was used to test the internal consistency of the questionnaire. RESULTS: Of the 169 subjects, 132 (response rate, 78.1%) completely filled out the questionnaires. The Cronbach alpha value for the items on the questionnaire was 0.8. The score for the deep learning approach was 29.4±4.6, whereas the score for the surface approach was 24.3±4.2, which was a significant difference (P<0.05). A positive correlation was found between the deep learning approach and students' academic performance (r= 0.197, P<0.05, df= 130). CONCLUSION Medical students in the basic science years at Trinity School of Medicine adopted the deep learning approach more than the surface approach. Likewise, students who were more inclined towards the deep learning approach scored significantly higher on academic tests.

Seventy-three patients with spinal nerve sheath tumor who were surgically treated in our hospital during the years 2004-2010 were retrospectively reviewed with respect to recovery of neurological function, recurrence of the tumor and occurrence of kyphotic deformities. Preoperative clinical manifestations, imaging data, surgical records and follow-up results were comprehensively analyzed. The follow-up duration was 12-60 months with an average of 32.0 months. Out of the 73 cases enrolled, 69 had gradual recovery of sensation, motor and sphincter functions 1 week to 3 months after operation. Forty-six cases had incomplete paralysis, whose American Spinal Injury Association (ASIA) grades, however, were gradually increased during the follow-up period, 4 cases had no significant improvement of the clinical symptoms and no change in ASIA grades during the follow-up period. Two cases had postoperative recurrence of the tumor. There were no deaths, no spinal instability, and no kyphotic malformations found in any cases. Our study indicated that complete removal of the tumor is important for good recovery, and an ideal surgical method may reduce the recurrence of the tumor or the occurrence of complications.
Adolescent ; Adult ; Aged ; Aging ; pathology ; Female ; Humans ; Male ; Middle Aged ; Nerve Sheath Neoplasms ; pathology ; surgery ; Spinal Neoplasms ; pathology ; surgery ; Treatment Outcome ; Young Adult

BACKGROUND: To investigate whether human adipose-derived stem cells (hADSCs) seeded on multilayered poly (L-lactide-co-ε-caprolactone) (PLCL) sheets improve bladder function in a rat model of detrusor smooth muscle-removed bladder. METHODS: Male rats were randomly divided into 4 groups: Normal, injury (detrusor smooth muscle-removed bladder), PLCL (detrusor smooth muscle-removed bladder implanted with PLCL sheets), and PLCL + ADSC (detrusor smooth muscle-removed bladder implanted with PLCL sheets seeded with hADSCs). Four weeks after the treatment, physiological, histological, immunohistochemical, and immunoblot analyses were performed. RESULTS: hADSCs were compatible with PLCL sheets. Further, the physiological study of PLCL + ADSC group showed significant improvement in compliance and contractility suggesting the functional improvement of the bladder. Histological, immunohistochemical and immunoblot analyses revealed the uniform distribution of hADSCs in between PLCL sheets as well as differentiation of hADSCs into smooth muscle cells (SMC) which is illustrated by the expression of SMC markers. CONCLUSION: hADSCs seeded on the multilayered PLCL sheets has the potential to differentiate into SMC, thus facilitating the recovery of compliance and contractility of the injured bladder.
Animals ; Clothing ; Compliance ; Humans ; Male ; Models, Animal ; Muscle, Smooth ; Myocytes, Smooth Muscle ; Rats ; Stem Cells ; Tissue Engineering ; Urinary Bladder