Objective: The study aims to determine the prevalence and risk factors for endocrine disorders in childhood brain tumour survivors. Methodology: 124 childhood brain tumour survivors aged 18 years old or younger with either stable disease or in remission, and had survived for at least 2 years after diagnosis were included in the study. Demographic data (age at diagnosis, gender, ethnicity, socioeconomic status), clinical clues for endocrine disorders, anthropometrics (weight, height, midparental height), pubertal staging, tumour-related characteristics, treatment modalities and endocrine laboratory measurements at diagnosis and during follow up were obtained. Logistic regression was applied to evaluate risk factors for endocrine disorders in childhood brain tumour survivors. Results: The prevalence of endocrine disorders in childhood brain tumour survivors was 62.1%. The risk factors were high BMI [adjusted odds ratio (OR) 1.29, 95% CI: 1.12 to 1.5], high-risk site [adjusted odds ratio (OR) 7.15, 95% CI: 1.41 to 36.3] and chemotherapy [adjusted odds ratio (OR) 0.18 , 95% CI: 0.05 to 0.62]. Conclusion The prevalence of endocrine disorders in childhood brain tumour survivors in our centre was 62.1%. The significant risk factors were high BMI, tumour location (suprasellar and intrasellar) and chemotherapy.
Risk Factors

Introduction: C-reactive protein (CRP), urea, albumin, CRP/albumin ratio (CAR) and urea/albumin ratio (UAR) could be valuable biomarkers for determining the severity of illness in patients with COVID-19. This study aimed to determine the association between these markers and disease severity in COVID-19 patients on admission and days five to seven after admission. Methods: This retrospective study includes 153 adult COVID-19 patients admitted to Hospital Raja Perempuan Zainab II and Hospital Ampang from January 2021 to December 2021. Patients’ serum CRP, urea, albumin and creatinine levels were recorded on admission and on days five to seven after admission. The patients were categorised based on the Annex 2e guidelines published by the Ministry of Health, Malaysia and further classified as mild to moderate disease (stages 1-3) and severe to critical illness (stages 4-5). Results: On admission, urea, creatinine, CRP, UAR and CAR were significantly higher in the severe to critical group (p<0.001). The optimal cut-off value for the UAR was 0.16; the area under the curve (AUC) was 0.760, and sensitivity and specificity were 63.6% and 85.7%, respectively. The AUC of the CAR was 0.752, with 54.2% sensitivity and 91.4% specificity at an optimal cut-off value of 1.63. In severe to critical COVID-19 patients, albumin levels decreased significantly on days five to seven after admission, while urea levels remained significantly higher in this group (p<0.001, p<0.05, respectively). Conclusion: CRP, urea, albumin, CAR and UAR are promising biomarkers for predicting the severity of disease in COVID-19 patients.

Introduction: N-Carboxymethyllysine (CML) is involved in diabetic nephropathy (DN) via production of oxidative stress, growth factors and cytokines. C-reactive protein (CRP) is an inflammatory marker associated with diabetes risk. This study is to determine the level of serum CML and CRP in Type 2 diabetes mellitus (T2DM) patients and healthy subjects and to determine the correlation between CML and CRP with glycated haemoglobin (HbA1c) in T2DM patients. Methods: This is a case-control study on 73 T2DM patients without nephropathy, 74 T2DM patients with nephropathy and 73 healthy subjects, aged from 18 to 65 years old. Fasting venous blood was taken and analysed for CML, CRP, HbA1c, and creatinine. The comparisons of serum CML and CRP among the three groups and the correlation between CML and CRP with HbA1c (in T2DM patients) were determined. Results: The differences in CML [median (Interquartile Range) (IQR)] between healthy subjects [131.80 (73.56) ng/ml] and T2DM patients without nephropathy [188.80 (55.95) ng/ml]; between healthy subjects and T2DM patients with nephropathy [237.70 (439.04) ng/ml] were statistically significant (P<0.001). The differences in CRP [median (IQR)] between healthy subjects [1.64 (1.91) ng/ml] and T2DM patients without nephropathy [2.15 (5.64) ng/ml]; between healthy subjects and T2DM patients with nephropathy [4.75 (6.91) ng/ml] were statistically significant (P<0.001). Logistic regression showed CML and CRP are independent predictors of diabetic groups. There was no correlation between HbA1c with CML and CRP in T2DM groups. Conclusion: Since serum CML and CRP are independent predictors of DN, their levels can be used to identify high-risk diabetic patients prone to developing DN.

Objective: We aimed to study the prevalence of metabolic syndrome (MetS) and the factors associated with metabolic syndrome among obese children. Methodology: We recruited 175 subjects, aged 7 to 18 years old, referred for obesity. We studied their demography (age, gender, ethnicity, family background), performed clinical/auxological examinations [weight, height, body mass index (BMI), waist circumference (WC), blood pressure (BP)], and analyzed their biochemical risks associated with metabolic syndrome [fasting plasma glucose (FPG), fasting lipid profile (FLP), fasting insulin, liver function tests (LFT)]. MetS was identified according to the criteria proposed by the International Diabetes Federation (IDF) for pediatric obesity. Multiple logistic regression models were used to examine the associations between risk variables and MetS. Results: The prevalence of metabolic syndrome among children with obesity was 56% (95% CI: 48.6 to 63.4%), with a mean age of 11.3 ± 2.73 years. Multiple logistic regression analysis showed age [adjusted odds ratio (OR) 1.27, 95% CI: 1.15 to 1.45] and sedentary lifestyle (adjusted OR 3.57, 95% CI: 1.48 to 8.59) were the significant factors associated with metabolic syndrome among obese children. Conclusion The prevalence of metabolic syndrome among obese children referred to our centers was 56%. Older age group, male gender, birth weight, sedentary lifestyle, puberty and maternal history of gestational diabetes mellitus (GDM) were found to be associated with MetS. However, older age group and sedentary lifestyle were the only significant predictors for metabolic syndrome.
Prevalence ; Metabolic Syndrome ; Risk Factors

Objective: This study aimed to determine the proportion, clinical characteristics, hormonal status, median time for normalization of serum thyroxine (FT4) and thyroid-stimulating hormone (TSH) and factors affecting time to thyroid function test (TFT) normalization of neonates born to mothers with maternal hyperthyroidism admitted in our institution. Methodology: This was a retrospective cohort study that included 170 newborns admitted to the Neonatal Intensive Care Unit (NICU) of Hospital Universiti Sains Malaysia (HUSM) with a history of maternal hyperthyroidism from January 2013 until December 2018. We analyzed their baseline demographic and clinical characteristics, maternal thyroid status and antibody levels. Finally, we analyzed newborn thyroid function and thyroid antibodies. Results: The proportion of neonates born to mothers with maternal hyperthyroidism was 0.8% (170 of 20,198 neonates within the study period). Seven (4.1%) developed overt hyperthyroidism, while four (2.4%) had thyroid storm. The median time for thyroid function test normalization was 30 days (95% CI: 27.1 to 32.8). The median time for TFT normalization was longer among neonates of mothers with positive thyroid antibodies [46.6 days (95% CI, 20.6 to 39.4)] and of mothers who received anti-thyroid treatment [31.7 days (95% CI, 23.5 to 39.9)]. Conclusion Neonates born to mothers with hyperthyroidism is uncommon. These babies were observed to have a longer time for normalization of thyroid function tests if their mothers had thyroid antibodies or received anti-thyroid treatment.

Introduction: Laboratory tests account for 66% of clinical decision making and reducing inappropriate test utilisation is a step towards optimising patients’ care and hospital cost savings. This study aims to identify the rate and cost of redundant test requests in our centre. Methods: A cross-sectional study comprising laboratory results of 14 analytes in renal function test (RFT) and liver function test (LFT) were made. Data involved blood results from adult patients admitted to Hospital Universiti Sains Malaysia from January to December 2018. The redundant test is defined as test results consecutively normal twice and requested within 26 hours for analytes in RFT and 50 hours for analytes in LFT. Cost contributions were estimated by multiplying cost-per-test with total redundant requests. The test redundancy in different wards and disease groups were also evaluated. Results: Equal distribution of RFT and LFT requests were observed in both genders (50% respectively), with the most requests seen in the 60 – 79 years age group. More than 20% redundancy rate was observed for seven analytes (ALT, total bilirubin, sodium, urea, potassium, AST, Chloride), and overall redundancy was 19.7%, equals to Malaysian Ringgit (MYR) 669,105.00. Oncology wards and genitourinary diseases contribute to the highest redundancy rate. Conclusion: This study estimated MYR 600 thousands of saving if test redundancy were to be eliminated. The finding is hoped to serve as a platform for future intervention and policymaking. Future planning to optimise the current laboratory request system and collaboration among physicians and laboratory professionals can minimise test inappropriateness.

Objective: We aimed to study the median time to gain weight from baseline and factors that were associated with rate of weight gain among obese children attending pediatric endocrine clinic Hospital USM. Methodology: We recruited 70 participants with the mean age of 10.1 ± 2.94 years with exogenous or simple form of obesity from June 2019 until September 2020. We analyzed their demography (age, gender, ethnicity, family background), measured their anthropometry (weight, height, BMI) and monitored monthly weight increment and finally analyzed their HOMA-IR at baseline and after 6 months of follow up. Results: The mean time to gain 5 kg from baseline was 16 weeks (95% CI): (15.2, 16.7). Multivariate analysis showed only HOMA-IR after 6 months was a significant predictor affecting time to gain 5 kg; Adjusted HR: (95% CI) 1.617 (1.232, 2.123), (p=0.001). Conclusion The time to gain 5 kg from baseline weight was increased 1.6 times in the presence of insulin resistance at 6 months follow up in patients with obesity. More intensive education and closed follow-up are recommended for children with obesity.
Prognosis ; Obesity ; Insulin Resistance

Introduction: A casemix system measures costs of health service provision that is crucial in the planning and hospital budgeting. The MalaysianDRG casemix system has been implemented since 2010, yet many health professionals were unaware of its importance. To highlight this problem, we estimated the miscalculation of costs in providing treatment, that occurred due to inaccurate clinical documentation and coding error in the MalaysianDRG casemix system. Methods: Using a cross-sectional study design, 226 coded case notes from two healthcare institutions in Malaysia were selected and re-coded. If a difference between codes was observed, the new code would be chosen as the final code. The cases were then re-grouped using the MalaysianDRG casemix system. The cost per case derived from the new and original codes was compared. Then, the outcomes were verified by a casemix expert from the Ministry of Health. Results: Results indicated 61.9% inaccurate clinical documentation and 25.2% coding error. The difference in costs of treatment provision, due to inaccurate clinical documentation was RM227,657 and RM 68,216 for coding error. Using paired t-test analysis, differences between mean (SD) cost per case of the original vs. new codes due to inaccurate clinical documentation [RM10,208.19(12273) vs. RM11,244.53(13785.27), p<0.05], and coding error [RM10,208.19(12273.04) vs. RM11,215.52(13798.03) p<0.05] were statistically significant. These results raised important questions regarding costly financial implications arising from inaccurate clinical documentation and coding error in the MalaysianDRG casemix system. Conclusion: To achieve the full benefit of the MalaysianDRG casemix system, the quality and accuracy of its data must first be established.

Introduction: The USM Pre-clinical medical students’ guidance and counselling needs questionnaire (USM-MSGCN-Q) is an English-language guidance and counselling needs questionnaire which was developed specifically for pre-clinical medical students. The aim of this study is to highlight the construct validity of USM-MSGCN-Q among pre-clinical medical students. Methods: In June 2017, a cross-sectional study on 208 pre-clinical medical students was conducted in Universiti Sains Malaysia (USM). This self-administered USM-MSGNC-Q consisted of four constructs and 20 items with a 5-point Likert scale within each item. A confirmatory factor analysis was employed to test the hypothesized measurement model. Results: The final measurement model fitted the data well. The four-factor model initially consisted of 20 items however, it was reduced to 18 items with the goodness of fit indices suggesting good model fit (RMSEA 0.89, GFI .915 and ChiSq/df 2.642). Internal consistency reliability (Cronbach’s alpha) was 0.879 for self-leadership skills, 0.929 for communication skills, 0.871 for learning skills, and 0.870 for psychological coping skills. The overall Cronbach’s value was 0.922. Respective composite reliability values were 0.879,0.952,0.879 and 0.835 while the Average Variance Extracted values were 0.729, 0.911, 0.595 and 0.630. Conclusion: This study has confirmed that self-leadership, communication, learning and psychological coping skills were the components of guidance and counselling needs which influences the effectiveness of guidance and counselling sessions with pre-clinical medical students.

Background: Pre-hospital delay is currently a major factor limiting early reperfusion among ST-elevation myocardial infarction (STEMI) patients worldwide. This study aims to determine pre-hospital factors affecting symptom-to-door time among STEMI patients in Malaysia. Methods: This cross-sectional study included 222 STEMI patients admitted to two tertiary hospitals in Malaysia. By determining symptom-to-door time, the study population was categorised into two definitive treatment seeking groups: early (≤ 3 h) and delayed (> 3 h). Data was collected focusing on socio-demographical data, risk factors and comorbidities, clinical presentation, situational factors and action taken by patients. Results: The mean age of our patients was 58.0 (SD = 11.9) years old, and the population consisted of 186 (83.8%) males and 36 (16.2%) females. Our study found that the median symptomto- door time was 130.5 (IQR 240) min, with 64% of subjects arriving early and 36% arriving late. Pre-hospital delays were found to be significant among females (adj OR = 2.42; 95% CI: 1.02, 5.76; P = 0.046), patients with recurrence of similar clinical presentations (adj OR = 2.74; 95% CI: 1.37, 5.46; P = 0.004), patients experiencing atypical symptoms (adj OR = 2.64; 95% CI: 1.11, 6.31; P = 0.029) and patients who chose to have their first medical contact (FMC) for their symptoms with a general practitioner (adj OR = 2.80; 95% CI: 1.20, 6.56; P = 0.018). However, patients with hyperlipidaemia (adj OR = 0.46; 95% CI: 0.23, 0.93; P = 0.030), self-perceived cardiac symptoms (adj OR = 0.36; 95% CI: 0.17, 0.73; P = 0.005) and symptoms that began in public places (adj OR = 0.21; 95% CI: 0.06, 0.69; P = 0.010) tended to seek treatment earlier. Conclusion: The symptom-to-door time among the Malaysian population is shorter in comparison to other developing countries. Nevertheless, identified, modifiable pre-hospital factors can be addressed to further shorten symptom-to-door time among STEMI patients.