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Introduction: The clinical pathway (CP) is one of the most recommended tools for ensuring the best quality of care and has been proven to reduce the cost and time spent in hospital. The development of a CP for influenza is crucial, especially for the elderly, as they are vulnerable to influenza-related complications. The main aim of this study was to provide a comprehensive protocol for each component of influenza management among the elderly in Malaysia. Methods: An expert group meeting was conducted involving family medicine specialists, public health specialists, geriatricians, respiratory physicians and infectious disease physicians. The CP was designed following a 6-step protocol: 1) Selection of expert panel, 2) discussion and information gathering, 3) development of CP draft, 4) refinement of CP draft, 5) implementation of CP, and 6) finalisation of CP. The CP for influenza was designed based on service type and disease severity. Results: The panel described both outpatient and inpatient CPs for managing elderly patients with influenza. The outpatient CP covered mild and moderate influenza cases, while the inpatient CP addressed the management of moderate and severe influenza. The estimated length of hospital stay for moderate and severe influenza cases with pneumonia was 6 and 14 days, respectively. Conclusions: The CP for influenza supports existing treatment according to illness severity leveraged on current clinical practice guidelines and the best-care practices in primary and tertiary care settings. Continuous use of the CP is required to assess its effectiveness, thereby enabling optimisation of the healthcare process in influenza treatment.

Background There has been rapid improvement in evidence-based care for hip fracture in UK in which prompt, effective, multidisciplinary management has been shown to improve quality and reduce costs. The aim of this study was to evaluate the current outcome of hip fractures in our hospital, and to compare it to the outcome of evidence-based management of hip fractures in UK. Methods A cross-sectional study of all hip fracture patients aged 60 and above, admitted from 1st March 2018 until 28th Feb 2019. Medical records of 105 patients obtained from a hip fracture registry were reviewed. Clinical data such as patients’ sociodemographics, fall circumstances, fractures, peri-operative details, complications and mortality were extracted and analysed. Results The surgery rate was 67% (96.5% in UK). Among the 37 patients (35.2%) not operated, 15 refused operation. Rate of early surgery was only 9.3% (71.3% in UK). Medical stabilisation (28.2%) and no operating time (40.8%) were the main reasons for surgical delay. None had falls assessment (98% in UK) and only 7.6% was started on bone protection prior to discharge (60% in UK). The average length of stay was 17 days (15.8 days in UK). The 30 day mortality was 9.5% (8.5% in UK). Discussion Our results showed that there was no significant difference in length of stay and 30 day mortality compared to UK. However, this may be due to our small sample size. Lack of awareness of falls assessment and bone protection suggests that our current model of care needed improvement. Conclusion Our results highlighted the need to implement proactive strategies to improve the management of hip fracture in our centre. Ortho-geriatrics shared-care in hip fracture management was subsequently implemented in an effort to improve patient care and service. Further studies need to be done to re-evaluate the outcomes post implementation.

Background Alzheimer’s disease (AD) is a major neurocognitive disorder identified by memory loss and a significant cognitive decline based on previous level of performance in one or more cognitive domains that interferes in the independence of everyday activities. The accuracy of imaging helps to identify the neuropathological features that differentiate AD from its common precursor, mild cognitive impairment (MCI). Identification of early signs will aid in risk stratification of disease and ensures proper management is instituted to reduce the morbidity and mortality associated with AD. Magnetic resonance imaging (MRI) using structural MRI (sMRI), functional MRI (fMRI), diffusion tensor imaging (DTI), and magnetic resonance spectroscopy (1H-MRS) performed alone is inadequate. Thus, the combination of multiparametric MRI is proposed to increase the accuracy of diagnosing MCI and AD when compared to elderly healthy controls. Methods This protocol describes a non-interventional case control study. The AD and MCI patients and the healthy elderly controls will undergo multi-parametric MRI. The protocol consists of sMRI, fMRI, DTI, and single-voxel proton MRS sequences. An eco-planar imaging (EPI) will be used to perform resting-state fMRI sequence. The structural images will be analysed using Computational Anatomy Toolbox-12, functional images will be analysed using Statistical Parametric Mapping-12, DPABI (Data Processing & Analysis for Brain Imaging), and Conn software, while DTI and 1H-MRS will be analysed using the FSL (FMRIB’s Software Library) and Tarquin respectively. Correlation of the MRI results and the data acquired from the APOE genotyping, neuropsychological evaluations (i.e. Montreal Cognitive Assessment [MoCA], and Mini–Mental State Examination [MMSE] scores) will be performed. The imaging results will also be correlated with the sociodemographic factors. The diagnosis of AD and MCI will be standardized and based on the DSM-5 criteria and the neuropsychological scores. Discussion The combination of sMRI, fMRI, DTI, and MRS sequences can provide information on the anatomical and functional changes in the brain such as regional grey matter volume atrophy, impaired functional connectivity among brain regions, and decreased metabolite levels specifically at the posterior cingulate cortex/precuneus. The combination of multiparametric MRI sequences can be used to stratify the management of MCI and AD patients. Accurate imaging can decide on the frequency of follow-up at memory clinics and select classifiers for machine learning that may aid in the disease identification and prognostication. Reliable and consistent quantification, using standardised protocols, are crucial to establish an optimal diagnostic capability in the early detection of Alzheimer’s disease.

Background: The geriatric population in Malaysia is predicted to increase from 4% of the total population in 1998 to 9.8% by 2020, in parallel with developments in the socioeconomy. Cancer is expected to be a major medical issue among this population. However, the decision for treatment in Malaysia is always decided by the caregivers instead of the elderly patients themselves. Objective: The aim of the study was to assess the willingness to accept chemotherapy among elderly Malaysians. Materials and Methods: In this cross-sectional study, patients aged 60 and above from various clinics/wards were recruited. Those giving consent were interviewed using a questionnaire. Results: A total of 75 patients were recruited, 35 patients (47%) with a history of cancer. The median age was 73 years old. There were 29 Chinese (38.7%), 22 Indian (29.3%), 20 Malay (26.7%) and four other ethnicity patients. Some 83% and 73% of patients willing to accept strong and mild chemotherapy, respectively. Patients with cancer were more willing to accept strong and mild chemotherapy compared to the non-cancer group (88.6% vs 62.5%, P=0.005, 94% vs 80%, P=0.068). On sub-analysis, 71.4% and 42.9% of Chinese patients without a history of cancer were not willing to receive strong and mild chemotherapy, respectively. Conclusions: The majority of elderly patients in UMMC were willing to receive chemotherapy if they had cancer. Experience with previous treatment had positive influence on the willingness to undergo chemotherapy.