REFERRAL PATTERNS AND OUTCOMES OF CHILDREN WHO FAILED MODIFIED CHECKLIST FOR AUTISM IN TODDLERS SCREENING DURING ROUTINE HEALTH SCREENING AT MATERNAL AND CHILD HEALTH CLINICS IN THE NORTHEAST DISTRICT OF PENANG: A RETROSPECTIVE COHORT STUDY Introduction: Autism spectrum disorder (ASD) is a developmental disability that causes significant social, communication and behavioural challenges. The Modified Checklist for Autism in Toddlers (M-CHAT) is a parent-administered screening questionnaire for ASD used at 18 and 36 months of age. This study aimed to determine the outcomes of children who failed M-CHAT screening during routine health screening at maternal and child health clinics in northeast district, Penang and the prevalence of ASD among those with a final diagnosis. Methods: This retrospective cohort study was conducted at 12 maternal and child health clinics. All children who failed M-CHAT screening at 18 and 36 months from January 2017 to December 2021 and received a final diagnosis before 31 March 2022 were recruited. All information required was recorded in a data collection form and analysed using SPSS. Multiple logistic regression was performed to assess the association between the factors and ASD status. Results: Eighty-two children failed M-CHAT screening. Fifty children did not receive a final diagnosis. Among 32 children who received a final diagnosis, 25 were diagnosed with ASD (78.1%). Among the children who underwent M-CHAT screening, the odds of having ASD increased by a factor of 1.2 for every 1-unit increase in age at final diagnosis. Conclusion: In northeast district, Penang, more than half of children who fail M-CHAT screening have no final diagnosis. The specificity of the M-CHAT is 78.1% among children with a final diagnosis of ASD. The age at final diagnosis is positively associated with the diagnosis of ASD.

Background: Many smokers have undiagnosed chronic obstructive pulmonary disease(COPD), and yet screening for COPD is not recommended. Smokers who know that they haveairflow limitation are more likely to quit smoking. This study aims to identify the prevalence andpredictors of airflow limitation among smokers in primary care.Methods: Current smokers ≥ 40 years old who were asymptomatic clinic attendees in aprimary care setting were recruited consecutively for two months. We used a two-step strategy.Step 1: participants filled in a questionnaire. Step 2: Assessment of airflow limitation using apocket spirometer. Multiple logistic regression was utilised to determine the best risk predictorsfor airflow limitation.Results: Three hundred participants were recruited. Mean age was 58.35 (SD 10.30) yearsold and mean smoking history was 34.56 pack-years (SD 25.23). One in two smokers were found tohave airflow limitation; the predictors were Indian ethnicity, prolonged smoking pack-year historyand Lung Function Questionnaire score ≤ 18. Readiness to quit smoking and the awareness ofCOPD were low.Conclusions: The high prevalence of airflow limitation and low readiness to quit smokingimply urgency with helping smokers to quit smoking. Identifying airflow limitation as an additionalmotivator for smoking cessation intervention may be considered. A two-step case-finding methodis potentially feasible.