1.Type 1 and type 2 diabetes mellitus: are they mutually exclusive?
Aziz FATIMA ; Khadija Irfan KHAWAJA ; Saira BURNEY ; Khushroo MINHAS ; Usman MUMTAZ ; Faisal MASUD
Singapore medical journal 2013;54(7):396-400
INTRODUCTIONWith advancement in the understanding of the pathogenesis underlying diabetes mellitus (DM), the boundary between type 1 and type 2 DM (T1DM and T2DM) does not seem to be as clear cut as previously thought. This study was designed to test the possibility of overlap between the spectra of immune-mediated DM and insulin resistance.
METHODSTo test for the possibility of overlap, we looked for autoantibodies typical of T1DM in patients with classical T2DM, and insulin resistance in patients with T1DM. Autoantibodies against islet cell antigen, glutamic acid decarboxylase-65 and insulinoma-associated antigen-2 were tested in 82 patients with T2DM and 27 patients with T1DM. The patients had been diagnosed on clinical criteria using standard laboratory techniques. Clinical parameters of diagnostic importance were noted, and homeostatic model assessment of insulin resistance (HOMA-IR) was calculated using fasting insulin and fasting blood glucose ratio.
RESULTSAutoantibodies against one or more beta cell antigens were detected in 12.19% of patients clinically diagnosed to have T2DM, and insulin resistance (HOMA-IR > 2.5) was diagnosed in 37.03% of patients with T1DM. It was not possible to identify any combination of clinical or biochemical markers that could predict autoantibody positivity in T2DM patients. T1DM patients with insulin resistance had a significantly higher body mass index than their insulin-sensitive counterparts (p = 0.02).
CONCLUSIONAutoantibodies against beta cell antigens are detectable in insulin-resistant T2DM patients, and insulin resistance may be present in relatively overweight T1DM patients. No differentiating clinical features that might predict autoantibody positivity in T2DM patients were found.
Adolescent ; Adult ; Autoantibodies ; blood ; immunology ; Biomarkers ; blood ; Blood Glucose ; analysis ; Body Mass Index ; Cross-Sectional Studies ; Diabetes Mellitus, Type 1 ; classification ; immunology ; Diabetes Mellitus, Type 2 ; classification ; immunology ; Enzyme-Linked Immunosorbent Assay ; Female ; Humans ; Insulin Resistance ; immunology ; Male
2.Phenotypic and metabolic dichotomy in obesity: clinical, biochemical and immunological correlates of metabolically divergent obese phenotypes in healthy South Asian adults.
Khadija Irfan KHAWAJA ; Saqib Ali MIAN ; Aziz FATIMA ; Ghulam Murtaza TAHIR ; Fehmida Farrukh KHAN ; Saira BURNEY ; Ali HASAN ; Faisal MASUD
Singapore medical journal 2018;59(8):431-438
INTRODUCTIONMetabolic heterogeneity among obese individuals is thought to translate into variations in cardiovascular risk. Identifying obese people with an unfavourable metabolic profile may allow preventive strategies to be targeted at high-risk groups. This study aimed to identify clinical, biochemical and immunological differences between insulin-sensitive and insulin-resistant obese subgroups, to understand the population-specific pathophysiological basis of the adverse cardiovascular risk profile in the latter group.
METHODSCardiovascular risk indicators, including anthropometric parameters, blood pressure, acanthosis nigricans area, and related biochemical, endocrine and inflammatory markers, were determined in 255 healthy South Asian volunteers aged 18-45 years, with a 2:1 ratio of obese/overweight to normal-weight individuals. Lifetime atherosclerotic cardiovascular disease (ASCVD) risk was also calculated.
RESULTSBody mass index (BMI) and insulin sensitivity-based tertiles independently showed incremental trends in waist-hip ratio, skinfold thickness, acanthosis nigricans area, blood pressure, serum lipids, hepatic enzymes, adipokines, inflammatory markers and ten-year ASCVD risk. The anthropometric, biochemical and inflammatory parameters of obese insulin-sensitive and obese insulin-resistant groups differed significantly. Extreme group analysis after excluding the middle tertiles of both insulin resistance and BMI also showed significant difference in anthropometric indicators of cardiovascular risk and estimated lifetime ASCVD risk between the two obese subgroups.
CONCLUSIONObese insulin-sensitive individuals had a favourable metabolic profile compared to the obese insulin-resistant group. The most consistent discriminative factor between these phenotypic classes was anthropometric parameters, which underscores the importance of clinical parameters as cardiovascular risk indicators in obesity.
3.Assessment of knowledge, attitude and practice regarding oxygen therapy at emergency departments in Riyadh in 2017: A cross-sectional study
Amairah Fahad Aloushan ; Faisal Abdullah Almoaiqel ; Raid Naysh Alghamdi ; Fatmah Ismail Alnahari ; Abdulaziz Fahad Aldosari ; Nazish Masud ; Nawfal Abdullah Aljerian
World Journal of Emergency Medicine 2019;10(2):88-93
BACKGROUND:
Administering oxygen therapy (OT) has an essential role in preventing/managing hypoxemia in both acute and chronic conditions. It should be adjusted to achieve the normal oxygen saturation of 94%–98% in most cases. This study aims to evaluate knowledge, attitude and practice (KAP) of nurses, paramedics, emergency medical technicians (EMTs) and Emergency Medical Services (EMS) physicians working at emergency departments (ED) in Riyadh, Saudi Arabia.
METHODS:
In this cross-sectional study, a structured questionnaire was used to assess KAP related to OT of nurses, paramedics, EMTs and EMS physicians currently working at an ED of a tertiary care hospital. Knowledge and attitude were assessed using a Likert scale from 1–5, whereas practice was assessed as a yes/no categorical variable.
RESULTS:
A total of 444 emergency health-care workers (EHCWs) participated, of which 225 (50.7%) were male, with the majority (77%) in the age group of 20–35 years. Over half of the sample were nurses (266; 59.9%). The mean score for knowledge about OT was 5.51±1.45, attitude was 26.31±3.17 and for practices 4.55±1.76. The main factors which were associated with poor KAP were workload and lack of local guidelines. The distribution of overall practice score was significantly better among paramedics – nurses group and EMT – nurses group.
CONCLUSION
This study demonstrates that there is a gap in EHCWs' KAP, particularly regarding when to provide OT to a patient. This gap can affect patients' safety. Extensive educational and training programs about OT are needed to raise awareness among health-care providers.