Faiza Alam
Jinnah Post Graduate Medical Centre
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Publication
Featured researches published by Faiza Alam.
PLOS ONE | 2013
Syeda Sadia Fatima; Kiymet Bozaoglu; Rehana Rehman; Faiza Alam; Abdul Shakoor Memon
Chemerin is a novel protein linked to adipocyte differentiation and the development of metabolic imbalances. We sought to examine the relationship of chemerin with metabolic syndrome disturbances including body fat percentage, serum lipid, glucose, insulin levels and body fat percentage in lean and obese volunteers. A cross-sectional study of 90 randomly selected healthy males from Pakistan were divided into three groups as per Body Mass Index (BMI) criteria for South Asian Population. Anthropometric measurements were taken for BMI, waist circumference, hip circumference and body fat percentage, while serum analyses were performed for fasting blood glucose, fasting insulin, fasting lipid profile and serum chemerin. Associations between serum chemerin levels and body fat and other metabolic syndrome parameters were performed using ANOVA and multiple regression analyses. Data was presented as Mean±SD. In all statistical analyses p-values <0.05 were considered significant. Circulating chemerin levels were significantly higher in obese subjects with BMI greater than 25 kg/m2 compared with those with a BMI below 25 kg/m2 (P = 0.001). Serum chemerin levels were found to be independently and significantly associated with serum levels of cholesterol (P = 0.0160; r = 0.255), fasting glucose (P = 0.002; r = 0.323), HOMA-IR (P = 0.004; r = 0.300) and hip circumference (P = 0.021; r = 0.246). This demonstrates that chemerin levels are associated with obesity and dyslipidemia and may play a role in the development of insulin resistance. This data suggests that chemerin may serve as an independent marker in diagnosing these conditions even before they become clinically symptomatic.
Pakistan Journal of Medical Sciences | 2015
Faiza Alam; Abdul Shakoor Memon; Syeda Sadia Fatima
Objective: Obesity causes subclinical inflammation which results in the secretion of various bioactive peptides that are key players in metabolic regulation of iron homeostasis. We sought to establish correlation of one such peptide (ferritin) with marker of subclinical inflammation (CRP) in various BMI. Methods: Total 150 subjects between the ages of 20-60 years were included in the cross-sectional study conducted at Basic Medical Sciences Institute, Jinnah Post Graduate Medical Centre, Karachi, Pakistan. Body Mass Index (BMI) was calculated by weight (kg) /height (m2). The given values were used as reference for Group A: normal weight (18.0-22.9 kg/m2), Group B: overweight (23.0-24.9 kg/m2), Group C: obese (>25.0 kg/m2) according to South Asian criteria. Serum Iron, Total Iron Binding Capacity, serum Transferrin Saturation, serum Ferritin and C-reactive protein were measured by commercially available kits. ANNOVA with Tukey’s minimum significant difference and Spearman Rho correlation were used considering p<0.05 significant. Results: The results identified an increased serum Ferritin and CRP in obese versus lean subjects (p < 0.001). BMI showed significantly positive correlation with serum CRP (r = 0.815; p-value < 0.01) and Ferritin (r = 0.584; p-value < 0.01). However, serum Iron levels and Transferrin saturation decreased in obese versus normal weight individuals (p < 0.001). Conclusion: This integrated new data reveals that individuals with high BMI had high levels of Serum Ferritin despite low levels of iron with high levels of C- reactive protein. This might be caused due to inflammatory conditions prevailing in the presence of increased adipose tissue.
Pakistan Journal of Medical Sciences | 2016
Rehana Rehman; Kulsoom Ghias; Syeda Sadia Fatima; Mehwish Hussain; Faiza Alam
Objective: To assess educational environment in Aga Khan University Medical College (AKUMC) by Dundee Ready Educational Environmental Measure (DREEM) scale. Methods: A cross-sectional survey of students at the AKUMC with simple random sampling was carried out from June 2014 till March 2015. Responses in five subscales were used to calculate DREEM scores. Results: The average DREEM score was 125.77±16.8 with a reliability of 91.3%. With regards to subscales, on the 12-item students’ perceptions of learning (PoL) subscale, the maximum score was 48; 11 items of students’ perceptions of teachers (PoT) had a maximum score of 44; students’ academic self-perceptions (ASP) identified by 8 items showed maximum score of 32; students’ perceptions of atmosphere (PoA) with 12 items obtained maximum score 48 and students’ social self-perceptions (SSP) subscale of 7 items had a maximum score of 28. Conclusion: Students perceived a positive learning environment at AKUMC Karachi.
Pakistan Journal of Medical Sciences | 2016
Zehra Jamil; Syeda Sadia Fatima; Rehana Rehman; Faiza Alam; Sara Arif
Objective: Anti Mullerian hormone (AMH) is gaining place as ovarian marker, chiefly in infertility assistance. We explored its correlation with oocytes retrieval after long GnRH agonist protocol for stimulation, in younger and older infertile population. Methods: This retrospective analysis compiled data of 166 females, receiving ICSI treatment from June 2014 to March 2015. Serum FSH, LH, Estadiol, AMH and antral follicle count were assessed. Outcomes were measured as good (5 to 19 oocytes) and bad responders. Results: Higher discriminatory power of AMH (AUROC; 0.771; p < 0.05) was seen in comparison to FSH (0.692; p < 0.05) and AFC (0.690; p < 0.01). AMH reported strongest association with oocyte retrieved (odds ratio of 15.06). Subgroup analysis reported 68.6 % risk of bad response with AMH levels of less than 1.37ng/ml. This association was observed more significant in young infertile patients <35 year of age (r=0.245; p=0.012) versus older population >35 year (r=0.169; p>0.05). Conclusion: Our study reaffirms that serum AMH correlates well with oocytes retrieved, particularly in females younger than 35 years. We suggest incorporation of AMH in baseline assessment of infertile females, who are falsely advised to postpone interventions based on their age and normal FSH levels.
Medical Education | 2018
Syeda Sadia Fatima; Zehra Jamil; Faiza Alam; Kulsoom Ghias
are taught through reflection-based exercises during virtual and classroom-based learning. A robust departmental faculty development exercise was conducted for curriculum development, active teaching and learning, VL master training and the use of the flipped classroom. What lessons were learned? A majority of students (78.6%) reported that they found the blended curriculum more engaging both during and between classes. They provided positive feedback on both the curricular elements and the use of VLE. One challenge was that faculty members found it hard to change their T/L roles from the traditional expert-led teaching culture; they were not comfortable using Moodle and had limited engagement with VL. Faculty members’ comfort was increased by a non-clinical VL team who provided supervision and facilitation. Another challenge identified by the core team was aligning outcomebased formative assessment to the institution-based summative assessment system. Overall, the use of VL was helpful in creating an integrated and blended curriculum for a medical student psychiatry clerkship. This comprehensive curriculum can be offered to other Pakistani medical colleges in the future that face challenges of limited faculty members with minimal VL expertise, as long as it is accompanied by faculty development in T/L methods.
Journal of Pakistan Medical Association | 2017
Syeda Sadia Fatima; Rehana Rehman; Faiza Alam; Sarosh Madhani; Bushra Chaudhry; Taseer Ahmed Khan
Journal of Pakistan Medical Association | 2014
Faiza Alam; Fasiha Fatima; Shehryar Orakzai; NajeehaTalat Iqbal; Syeda Sadia Fatima
Journal of Pakistan Medical Association | 2017
Rehana Rehman; Kulsoom Ghias; Syeda Sadia Fatima; Mehwish Hussain; Faiza Alam
Journal of Pakistan Medical Association | 2015
Syeda Sadia Fatima; Saad Farooq; Maaida Asif Tauni; Omar Irfan; Faiza Alam
Pakistan Journal of Pharmaceutical Sciences | 2018
Sabeela Noor; Faiza Alam; Syeda Sadia Fatima; Mahnur Khan; Rehana Rehman