Displaying publications 281 - 300 of 850 in total

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  1. Ravichandran J, Woon SY, Quek YS, Lim YC, Noor EM, Suresh K, et al.
    Am J Med, 2019 03;132(3):362-366.
    PMID: 30503877 DOI: 10.1016/j.amjmed.2018.11.017
    PURPOSE: The purpose of this study was to examine the association of circulating concentrations of high-sensitivity cardiac troponin I (hs-cTn) in the various trimesters of pregnancy in patients with and without hypertension.

    METHODS: This was a prospective cross-sectional study of pregnant and postnatal women aged between 18-35 years with no coexisting diseases. Serum samples were analysed for hs-TnI.

    RESULTS: A total of 880 women (mean age = 29.1 years [standard deviation = 5.1 years]) were recruited with 129 (14%), 207 (24%), and 416 (47%) patients in the first, second, and third trimesters, respectively. Ninety (10%) participants were recruited in the postnatal period. During pregnancy 28 (3%) patients were classified as having pregnancy-induced hypertension and 10 (1%) as preeclampsia. High-sensitivity cardiac troponin I was measurable in 546 (62%) participants with a median of 1 ng/L (range 0 to 783 ng/L). Troponin concentrations were above the 99th percentile in 19 (2%) individuals. Patients with pregnancy-induced hypertension and preeclampsia had higher concentrations of hs-TnI (median 11 ng/L [interquartile range (IQR) 6 to 22 ng/L] vs 12ng/L [IQR 3 to 98 ng/L] vs 1 ng/L [IQR 0 to 1 ng/L]). In logistic regression modeling hs-cTnI concentration remained an independent predictor of pregnancy-induced hypertension or preeclampsia in both unadjusted and adjusted models (odds ratio 9.3 [95% confidence interval 5.8 to 16.3] and 11.5 [95% confidence interval 6.3 to 24.1], respectively, per doubling of hs-TnI concentrations).

    CONCLUSIONS: Cardiac troponin measured using a high-sensitivity assay is quantifiable in the majority of young pregnant women with 2% of individuals having concentration above the 99th percentile sex-specific threshold. Patients with pregnancy-induced hypertension or preeclampsia had higher cardiac troponin concentrations. Cardiac troponin was a strong independent predictor of pregnancy-induced hypertension or preeclampsia in pregnant and postnatal women.

    Matched MeSH terms: Logistic Models
  2. Bujang MA, Kuan PX, Sapri FE, Liu WJ, Musa R
    Indian J Nephrol, 2019 8 20;29(4):235-241.
    PMID: 31423056 DOI: 10.4103/ijn.IJN_152_18
    Introduction: Clinical parameters especially co-morbidities among end stage renal disease (ESRD) patients are associated with mortality. This study aims to determine the risk factors that are associated with mortality within three years among prevalent patients with ESRD.

    Methods: This is a cohort study where prevalent ESRD patients' details were recorded between May 2012 and October 2012. Their records were matched with national death record at the end of year 2015 to identify the deceased patients within three years. Four models were formulated with two models were based on logistic regression models but with different number of predictors and two models were developed based on risk scoring technique. The preferred models were validated by using sensitivity and specificity analysis.

    Results: A total of 1332 patients were included in the study. Majority succumbed due to cardiovascular disease (48.3%) and sepsis (41.3%). The identified risk factors were mode of dialysis (P < 0.001), diabetes mellitus (P < 0.001), chronic heart disease (P < 0.001) and leg amputation (P = 0.016). The accuracy of four models was almost similar with AUC between 0.680 and 0.711. The predictive models from logistic regression model and risk scoring model were selected as the preferred models based on both accuracy and simplicity. Besides the mode of dialysis, diabetes mellitus and its complications are the important predictors for early mortality among prevalent ESRD patients.

    Conclusions: The models either based on logistic regression or risk scoring model can be used to screen high risk prevalent ESRD patients.

    Matched MeSH terms: Logistic Models
  3. Rafan SN, Zakaria R, Ismail SB, Muhamad R
    J Taibah Univ Med Sci, 2018 Oct;13(5):459-464.
    PMID: 31435362 DOI: 10.1016/j.jtumed.2018.06.005
    Objectives: Prehypertension refers to a systolic blood pressure of 120-139 mmHg systolic or a diastolic blood pressure of 80-89 mmHg. Estimation of the prevalence of prehypertension in the population and identification of cardiovascular associated factors are important to reduce progression to hypertension. This study aimed to determine the prevalence of prehypertension and its associated factors among Malaysian adults.

    Methods: In 2015, a cross-sectional study was conducted among adults visiting an outpatient clinic in Northeast Malaysia. Face-to-face interviews were conducted using Malay and English versions of the Malaysia Non-Communicable Disease surveillance questionnaire. This instrument captured information about sociodemographic, lifestyle status, and anthropometric data. Blood pressure was measured three times with a sphygmomanometer, the first measurement value was discarded, and an average of blood pressure from the second two readings was recorded for further data analysis. Logistic regression was performed to analyse factors associated with prehypertension.

    Result: A total 151 adults participated in the study, and the prevalence of prehypertension was 37.1% (95% confidence interval [CI]: 29.29, 44.69). Factors associated with prehypertension in this study were age (adjusted odds ratio [aOR] = 1.06 95% CI: 1.02, 1.11; p = 0.007), male sex (aOR = 4.44 95% CI: 1.58, 12.44; p = 0.005), and abnormal waist circumference (aOR = 31.65 95% CI: 11.25, 89.02; p 

    Matched MeSH terms: Logistic Models
  4. Ahmad Zamree MR, Shaiful Bahari I, Faridah MZ, Norhayati MN
    J Taibah Univ Med Sci, 2018 Apr;13(2):173-179.
    PMID: 31435320 DOI: 10.1016/j.jtumed.2017.10.001
    Objectives: This study aimed to determine the prevalence of premature ejaculation and its associated factors among men attending a primary healthcare clinic in Kota Bharu, Kelantan, Malaysia.

    Methods: A cross-sectional study was conducted on 18- to 60-year-old sexually active men during at least the past 6 months. Patients with unstable psychiatric illnesses, mental retardation, and illiteracy were excluded. A questionnaire on sociodemographic factors, Malay version Premature Ejaculation Diagnostic Tool, and Malay version International Index Erectile Function-5 were distributed. Premature ejaculation was defined as a Premature Ejaculation Diagnostic Tool score of 9 and above. Descriptive analysis and simple and multiple logistic regression analyses were performed using SPSS version 22.

    Results: A total of 294 of 313 eligible men responded, with a response rate of 93.9%. The prevalence of premature ejaculation was 21.4% (n = 63). The multiple logistic regression analysis showed that mild [adj. OR (95% CI): 5.6 (1.89, 16.91); P = 0.002], mild-moderate [adj. OR (95% CI): 8.2 (2.72, 24.46); P 
    Matched MeSH terms: Logistic Models
  5. Sartelli M, Abu-Zidan FM, Labricciosa FM, Kluger Y, Coccolini F, Ansaloni L, et al.
    World J Emerg Surg, 2019;14:34.
    PMID: 31341511 DOI: 10.1186/s13017-019-0253-2
    Background: Timing and adequacy of peritoneal source control are the most important pillars in the management of patients with acute peritonitis. Therefore, early prognostic evaluation of acute peritonitis is paramount to assess the severity and establish a prompt and appropriate treatment. The objectives of this study were to identify clinical and laboratory predictors for in-hospital mortality in patients with acute peritonitis and to develop a warning score system, based on easily recognizable and assessable variables, globally accepted.

    Methods: This worldwide multicentre observational study included 153 surgical departments across 56 countries over a 4-month study period between February 1, 2018, and May 31, 2018.

    Results: A total of 3137 patients were included, with 1815 (57.9%) men and 1322 (42.1%) women, with a median age of 47 years (interquartile range [IQR] 28-66). The overall in-hospital mortality rate was 8.9%, with a median length of stay of 6 days (IQR 4-10). Using multivariable logistic regression, independent variables associated with in-hospital mortality were identified: age > 80 years, malignancy, severe cardiovascular disease, severe chronic kidney disease, respiratory rate ≥ 22 breaths/min, systolic blood pressure < 100 mmHg, AVPU responsiveness scale (voice and unresponsive), blood oxygen saturation level (SpO2) < 90% in air, platelet count < 50,000 cells/mm3, and lactate > 4 mmol/l. These variables were used to create the PIPAS Severity Score, a bedside early warning score for patients with acute peritonitis. The overall mortality was 2.9% for patients who had scores of 0-1, 22.7% for those who had scores of 2-3, 46.8% for those who had scores of 4-5, and 86.7% for those who have scores of 7-8.

    Conclusions: The simple PIPAS Severity Score can be used on a global level and can help clinicians to identify patients at high risk for treatment failure and mortality.

    Matched MeSH terms: Logistic Models
  6. Laghari M, Sulaiman SAS, Khan AH, Memon N
    BMC Infect Dis, 2019 Jan 24;19(1):82.
    PMID: 30678656 DOI: 10.1186/s12879-019-3702-3
    BACKGROUND: Understanding the explanations behind unsuccessful treatment outcomes in tuberculosis (TB) patients is important to improve treatment success. Treatment completion for TB is the mainstay of TB prevention and control. The study was aimed to assess the treatment outcomes and predictors for unsuccessful outcomes among children with TB.

    METHODS: This was a prospective multicenter study conducted in Sindh. Children aged ≤14 years enrolled from June to November 2016 were included. A structured data collection tool was used to gather information with respect to patients' socio-demographic, clinical and microbiological data. Additionally, to collect the information related to socio-economic and education level of caregivers, validated questionnaire was administered to the caregivers. Treatment outcomes were assessed according to the World Health Organization (WHO) guidelines. The relationship of unsuccessful treatment outcome with socio-demographic and clinical attributes of TB patients was analyzed using logistic regression model.

    RESULTS: Childhood TB represented 19.3% (508/2634) of all TB cases in selected hospitals. Of these, 268/508 (52.8%) were females and one third of the children were aged ≤2 years (34.3%). In multivariate analysis, pulmonary smear positive TB (PTB+) (AOR = 5.910, 95%CI = 1.64-21.29), those with adverse drug reactions (AOR = 11.601, 95%CI = 4.06-33.12) and those who had known TB contacts (AOR = 3.128, 95%CI = 1.21-8.06) showed statistically significant association with unsuccessful treatment outcomes.

    CONCLUSIONS: The high proportion of childhood TB cases (19.3%) demonstrates the continuation of TB transmission in the study setting. Furthermore, an increased focus on PTB+ patients, those with adverse drug reactions and household contact with TB is warranted.

    Matched MeSH terms: Logistic Models
  7. Wan Mohd Yunus WMA, Badri SKZ, Panatik SA, Mukhtar F
    Front Psychiatry, 2020;11:566221.
    PMID: 33664679 DOI: 10.3389/fpsyt.2020.566221
    Background and Aims: Malaysia's first Movement Control Order (MCO) or "lockdown" was in place for 6 weeks to curb the spread of coronavirus disease (COVID-19). Consequently, all universities were forced to close temporarily with abrupt changes to teaching and learning activities. However, there has been a lack of consensus regarding students' actual psychological status and mental health during the MCO implementation. This study investigates the link, state, and differences of negative emotional symptoms, happiness, and work-life balance among university students during the COVID-19 pandemic. Methodology: This study recruited 1,005 university students across Malaysia. Data was collected online using Qualtrics to measure negative emotional symptoms (The Depression, Anxiety, and Stress Scale), happiness (The Oxford Happiness Inventory), and work-life balance (Work-Family Conflict Scale). All data was analyzed using SPSS version 25 and AMOS version 26 using T-test, ANOVA, logistic regression analyses, and path analysis method. Findings: Findings indicated that 22, 34.3, and 37.3% of the university students scored moderate to extremely severe levels of stress, anxiety, and depression symptoms, respectively. Half scored rather happy or very happy (50%) for happiness levels. Meanwhile, 50.4 and 39.4% scored high to very high levels of work-to-family and family-to-work conflict. Significant differences in stress, anxiety, depression, happiness, work-family conflict, and family-work conflict were recorded across different demographic factors. Happiness was found to be a protective factor with a lesser likelihood of experiencing severe stress (OR = 0.240, 95% CI: 0.180, 0.321), anxiety (OR = 0.336, 95% CI: 0.273, 0.414), and depression (OR = 0.121, 95% CI: 0.088, 0.165) with higher happiness levels. Higher score of work-to-family conflict contributes to greater odds of having severe levels of anxiety (OR = 1.453, 95% CI: 1.161, 1.818). While greater likelihood of developing severe stress (OR = 1.468, 95% CI: 1.109, 1.943) and severe anxiety (OR = 1.317, 95% CI: 1.059, 1.638) under increasing score of family-to-work conflict. Besides, happiness is found to negatively linked with lower negative emotional symptoms, while work-family conflict and family-work conflict are positively linked with higher negative emotional symptoms. Conclusion: Lockdown implementation during the COVID-19 pandemic appears to have a significant impact on university students' negative emotional symptoms, happiness, and work-life balance. Happiness was found to be a protective factor while the state of work-life balance is a risk factor that can predict students' negative emotional symptoms.
    Matched MeSH terms: Logistic Models
  8. Law ZK, Ali A, Krishnan K, Bischoff A, Appleton JP, Scutt P, et al.
    Stroke, 2020 01;51(1):121-128.
    PMID: 31735141 DOI: 10.1161/STROKEAHA.119.026128
    Background and Purpose- Blend, black hole, island signs, and hypodensities are reported to predict hematoma expansion in acute intracerebral hemorrhage. We explored the value of these noncontrast computed tomography signs in predicting hematoma expansion and functional outcome in our cohort of intracerebral hemorrhage. Methods- The TICH-2 (Tranexamic acid for IntraCerebral Hemorrhage-2) was a prospective randomized controlled trial exploring the efficacy and safety of tranexamic acid in acute intracerebral hemorrhage. Baseline and 24-hour computed tomography scans of trial participants were analyzed. Hematoma expansion was defined as an increase in hematoma volume of >33% or >6 mL on 24-hour computed tomography. Poor functional outcome was defined as modified Rankin Scale of 4 to 6 at day 90. Multivariable logistic regression was performed to identify predictors of hematoma expansion and poor functional outcome. Results- Of 2325 patients recruited, 2077 (89.3%) had valid baseline and 24-hour scans. Five hundred seventy patients (27.4%) had hematoma expansion while 1259 patients (54.6%) had poor functional outcome. The prevalence of noncontrast computed tomography signs was blend sign, 366 (16.1%); black hole sign, 414 (18.2%); island sign, 200 (8.8%); and hypodensities, 701 (30.2%). Blend sign (adjusted odds ratio [aOR] 1.53 [95% CI, 1.16-2.03]; P=0.003), black hole (aOR, 2.03 [1.34-3.08]; P=0.001), and hypodensities (aOR, 2.06 [1.48-2.89]; P<0.001) were independent predictors of hematoma expansion on multivariable analysis with adjustment for covariates. Black hole sign (aOR, 1.52 [1.10-2.11]; P=0.012), hypodensities (aOR, 1.37 [1.05-1.78]; P=0.019), and island sign (aOR, 2.59 [1.21-5.55]; P=0.014) were significant predictors of poor functional outcome. Tranexamic acid reduced the risk of hematoma expansion (aOR, 0.77 [0.63-0.94]; P=0.010), but there was no significant interaction between the presence of noncontrast computed tomography signs and benefit of tranexamic acid on hematoma expansion and functional outcome (P interaction all >0.05). Conclusions- Blend sign, black hole sign, and hypodensities predict hematoma expansion while black hole sign, hypodensities, and island signs predict poor functional outcome. Noncontrast computed tomography signs did not predict a better response to tranexamic acid. Clinical Trial Registration- URL: https://www.isrctn.com. Unique identifier: ISRCTN93732214.
    Matched MeSH terms: Logistic Models
  9. Ong HK, Chinna K, Khoo SK, Ng WL, Wong BY, Chow KL, et al.
    Zoo Biol, 2012 Mar-Apr;31(2):219-28.
    PMID: 21480370 DOI: 10.1002/zoo.20387
    Logistic regression was applied to develop a morphometric sexing method of two closely related stork species that were previously sexed through amplification of the CHD gene. Tarsus length (TL) and bill length (BL) measurements were recorded from captive populations of adult Milky Stork (Mycteria cinerea) (n = 60) and Painted Stork (Mycteria leucocephala) (n = 58) at Zoo Negara Malaysia. Despite having monomorphic plumages, both stork species exhibited normal sexual size dimorphism in which males were significantly larger than females in the tested variables. Based on logistic regression analysis, BL correctly classified the sex of sampled individuals from Painted and Milky stork with an overall predicted accuracy of 94.8 and 90.0%, respectively. However, TL measurements generated a lower predicted accuracy level of 86.2% and a same accuracy level of 90% on the sex classification of individuals from Painted and Milky stork, respectively. By comparing the measurements of both species, only the average BL measurements of the Milky storks were significantly lower than that of Painted storks (t-test, P80.001). The logistic regression equation in this study may serve as a simple and more practical option for sexing Milky and Painted storks for their breeding and conservation programmes.
    Matched MeSH terms: Logistic Models
  10. Sang C, Yan H, Chan WK, Zhu X, Sun T, Chang X, et al.
    Front Med (Lausanne), 2021;8:637652.
    PMID: 33708783 DOI: 10.3389/fmed.2021.637652
    Non-alcoholic fatty liver disease (NAFLD) is one of the main causes of fibrosis. Liver biopsy remains the gold standard for the confirmation of fibrosis in NAFLD patients. Effective and non-invasive diagnosis of advanced fibrosis is essential to disease surveillance and treatment decisions. Herein we used routine medical test markers and logistic regression to differentiate early and advanced fibrosis in NAFLD patients from China, Malaysia, and India (n1 = 540, n2 = 147, and n3 = 97) who were confirmed by liver biopsy. Nine parameters, including age, body mass index, fasting blood glucose, presence of diabetes or impaired fasting glycemia, alanine aminotransferase, γ-glutamyl transferase, triglyceride, and aspartate transaminase/platelet count ratio, were selected by stepwise logistic regression, receiver operating characteristic curve (ROC), and hypothesis testing and were used for model construction. The area under the ROC curve (auROC) of the model was 0.82 for differentiating early and advanced fibrosis (sensitivity = 0.69, when specificity = 0.80) in the discovery set. Its diagnostic ability remained good in the two independent validation sets (auROC = 0.89 and 0.71) and was consistently superior to existing panels such as the FIB-4 and NAFLD fibrosis score. A web-based tool, LiveFbr, was developed for fast access to our model. The new model may serve as an attractive tool for fibrosis classification in NAFLD patients.
    Matched MeSH terms: Logistic Models
  11. Dineen RA, Pszczolkowski S, Flaherty K, Law ZK, Morgan PS, Roberts I, et al.
    BMJ Open, 2018 02 03;8(2):e019930.
    PMID: 29431141 DOI: 10.1136/bmjopen-2017-019930
    OBJECTIVES: To test whether administration of the antifibrinolytic drug tranexamic acid (TXA) in patients with spontaneous intracerebral haemorrhage (SICH) leads to increased prevalence of diffusion-weighted MRI-defined hyperintense ischaemic lesions (primary hypothesis) or reduced perihaematomal oedema volume, perihaematomal diffusion restriction and residual MRI-defined SICH-related tissue damage (secondary hypotheses).

    DESIGN: MRI substudy nested within the double-blind randomised controlled Tranexamic Acid for Hyperacute Primary Intracerebral Haemorrhage (TICH)-2 trial (ISRCTN93732214).

    SETTING: International multicentre hospital-based study.

    PARTICIPANTS: Eligible adults consented and randomised in the TICH-2 trial who were also able to undergo MRI scanning. To address the primary hypothesis, a sample size of n=280 will allow detection of a 10% relative increase in prevalence of diffusion-weighted imaging (DWI) hyperintense lesions in the TXA group with 5% significance, 80% power and 5% imaging data rejection.

    INTERVENTIONS: TICH-2 MRI substudy participants will undergo MRI scanning using a standardised protocol at day ~5 and day ~90 after randomisation. Clinical assessments, randomisation to TXA or placebo and participant follow-up will be performed as per the TICH-2 trial protocol.

    CONCLUSION: The TICH-2 MRI substudy will test whether TXA increases the incidence of new DWI-defined ischaemic lesions or reduces perihaematomal oedema or final ICH lesion volume in the context of SICH.

    ETHICS AND DISSEMINATION: The TICH-2 trial obtained ethical approval from East Midlands - Nottingham 2 Research Ethics Committee (12/EM/0369) and an amendment to allow the TICH-2 MRI sub study was approved in April 2015 (amendment number SA02/15). All findings will be published in peer-reviewed journals. The primary outcome results will also be presented at a relevant scientific meeting.

    TRIAL REGISTRATION NUMBER: ISRCTN93732214; Pre-results.

    Matched MeSH terms: Logistic Models
  12. Aneesa Abdul Rashid, Navin Kumar Devaraj, Zuhra Hamzah, Tan Chai Eng
    MyJurnal
    Introduction: Diabetic control depends partially on self-management. Diabetes self-care is reported to be a strong predictor of glycemic control in Type 2 Diabetes Mellitus (T2DM) patients. Factors contributing to better self-care include self-efficacy and social support. We aim to determine effects of these factors on glucose control in T2DM patients in a primary care clinic. Methods: This study utilised data from a bigger study looking into factors affecting social support and self-efficacy and their correlation in T2DM patients. This study was done among 329 T2DM pa- tients attending a primary care clinic in Selangor, Malaysia between November 2013- January 2014. Systematic ran- dom sampling was used. Instruments used were the MOS Social Support Survey and the Diabetic Management Self Efficacy Scale (DMSES). Patients’ socio-demographic data and glucose monitoring records were obtained. The asso- ciation between social support and self-efficacy with blood glucose control was determined using logistic regression. Results: The mean age of the respondents is 54.6 (+11.2), mostly female (55.3%) and Malay ethnicity (63.5%). Being older and retired were predictors for good glucose control (OR=1.05,p=0.01 and OR=2.2,p=0.023) respectively. There is also significant correlations between number of close friends/relatives with social support and self-efficacy (r=0.162,p=0.030 and r=0.190,p=0.01) respectively. The correlation of social support and self-efficacy with HbA1c levels are r= -0.044(p=0.426) and r= -0.08(p= 0.744) respectively. Conclusion: There were no correlations between social support and self-efficacy with the level of HbA1c among patients with T2DM in this study. We found older aged and retired patients to have better HbA1c levels.
    Matched MeSH terms: Logistic Models
  13. Saw SN, Biswas A, Mattar CNZ, Lee HK, Yap CH
    Prenat Diagn, 2021 Mar;41(4):505-516.
    PMID: 33462877 DOI: 10.1002/pd.5903
    OBJECTIVE: To investigate the performance of the machine learning (ML) model in predicting small-for-gestational-age (SGA) at birth, using second-trimester data.

    METHODS: Retrospective data of 347 patients, consisting of maternal demographics and ultrasound parameters collected between the 20th and 25th gestational weeks, were studied. ML models were applied to different combinations of the parameters to predict SGA and severe SGA at birth (defined as 10th and third centile birth weight).

    RESULTS: Using second-trimester measurements, ML models achieved an accuracy of 70% and 73% in predicting SGA and severe SGA whereas clinical guidelines had accuracies of 64% and 48%. Uterine PI (Ut PI) was found to be an important predictor, corroborating with existing literature, but surprisingly, so was nuchal fold thickness (NF). Logistic regression showed that Ut PI and NF were significant predictors and statistical comparisons showed that these parameters were significantly different in disease. Further, including NF was found to improve ML model performance, and vice versa.

    CONCLUSION: ML could potentially improve the prediction of SGA at birth from second-trimester measurements, and demonstrated reduced NF to be an important predictor. Early prediction of SGA allows closer clinical monitoring, which provides an opportunity to discover any underlying diseases associated with SGA.

    Matched MeSH terms: Logistic Models
  14. Lim JJ, Salowi MA, Adnan TH, Anuar NA, Ngah NF, Choo MM
    Med J Malaysia, 2021 03;76(2):190-198.
    PMID: 33742627
    INTRODUCTION: The aim of this study was to compare the visual outcomes of phacoemulsification with intraocular lens implantation (IOL) surgery in patients with and without diabetes mellitus (DM) in Malaysia over a 12-year period and to identify factors that may contribute to poor visual outcome.

    MATERIALS AND METHODS: Data was retrieved from the webbased Malaysian Cataract Surgery Registry (CSR). Perioperative data for cataract surgery performed from 2007- 2018 were analysed. Inclusion criteria were age ≥40 years, phacoemulsification and IOL and senile cataract. Combined surgeries, surgeries performed by trainees and ocular comorbidities were excluded. Post-operative Best-Corrected Visual Acuity (BCVA) were compared. Factors affecting poor visual outcomes among those with DM were analysed using multivariate logistic regression to produce adjusted odds ratio (OR) for variables of interest.

    RESULTS: Total number of cases between 2007-2018 was 442,858, of whom 179,210 qualified for our analysis. DM group consisted of 72,087 cases (40.2%). There were 94.5% cases in DM group and 95.0Ź from non-DM group who achieved BCVA ≥6/12 (p<0.001). Among patients with DM, advanced age (70-79 years old, OR: 2.54, 95% Confidence Interva, 95%CI: 1.91, 3.40; 80-89 years old, OR: 5.50, 95%CI: 4.02, 7.51), ≥90 years, OR: 9.77, 95%CI: 4.18, 22.81), poor preoperative presenting visual acuity [<6/18-6/60] (OR: 2.40, 95%CI: 1.84, 3.14) and <6/60-3/60 (OR: 3.00, 95%CI: 2.24, 4.02), <3/60 (OR 3.63, 95%CI: 2.77, 4.74)], presence of intraoperative complication (OR 2.24, 95%CI: 1.86, 2.71) and presence of postoperative complication (OR 5.21, 95%CI: 2.97, 9.16) were significant factors for poor visual outcome.

    CONCLUSIONS: Visual outcomes following phacoemulsification with IOL implantation surgery among cases with DM were poorer compared to cases without DM. Risk factors for poor visual outcomes among cases with DM were identified.

    Matched MeSH terms: Logistic Models
  15. Sahril N, Ahmad NA, Idris IB, Sooryanarayana R, Abd Razak MA
    Children (Basel), 2021 Feb 07;8(2).
    PMID: 33562212 DOI: 10.3390/children8020119
    Mental health problems are a major public health issue, particularly among children. They impair children's development, academic achievement, and ability to live a productive life. The present study aimed to determine the prevalence and factors associated with mental health problems among children aged 5 to 15 years old in Malaysia. Data from the National Health and Morbidity Survey (NHMS) 2015 were analyzed. A validated Strengths and Difficulties Questionnaire (SDQ) was used. The overall prevalence of mental health problems among children in Malaysia was 11.1%. Multiple logistic regression analysis revealed that for every year increment in age, mental health problems decreased by 5%. Further analysis found that children who had fathers with a non-formal education and worked in the private sector, had parents who were widowed or divorced, and had either parent with mental health problems were more likely to have mental health problems themselves. Children from the lower socioeconomic group and who had either parent with mental health problems had higher odds of having mental health problems in Malaysia.
    Study name: National Health and Morbidity Survey (NHMS-2015)
    Matched MeSH terms: Logistic Models
  16. Johar N, Mohamad N, Saddki N, Tengku Ismail TA, Sulaiman Z
    Korean J Fam Med, 2021 Mar;42(2):140-149.
    PMID: 32423181 DOI: 10.4082/kjfm.19.0178
    BACKGROUND: Cesarean delivery is linked with lower rates of early breastfeeding initiation. This study aimed to determine the prevalence and associated factors of early initiation of breastfeeding among women admitted for elective cesarean delivery in Kelantan, Malaysia.

    METHODS: A total of 171 women admitted for elective cesarean delivery at two tertiary hospitals in Kelantan, Malaysia, participated in this study. On day two after cesarean delivery, face-to-face interviews were conducted with the mothers to get information on feeding practice. Descriptive statistics, including simple and multiple logistic regressions, were used for data analysis.

    RESULTS: Seventy-three percent of mothers initiated breastfeeding within 1 hour of birth. Approximately 15.8% and 10.5% of mothers initiated breastfeeding within 24 hours and ≥24 hours, respectively. Skin-to-skin contact between mothers and their infants occurred in 77.8% of cases after cesarean delivery. Breastfeeding initiation was significantly associated with skin-to-skin contact (odds ratio [OR], 14.42; 95% confidence interval [CI], 3.58-58.06), mothers who exclusively breastfed during hospitalization (OR, 36.37; 95% CI, 5.60-236.24), and infants who were not sleepy during attempts at breastfeeding (OR, 5.17; 95% CI, 1.32-20.21).

    CONCLUSION: Based on our results, it is possible to increase the proportion of mothers initiating breastfeeding within 1 hour among women who undergo elective cesarean delivery. Therefore, it is important that health practitioners educate women beginning in the antenatal period who plan to undergo cesarean delivery by emphasizing the importance of early initiation of breastfeeding.

    Matched MeSH terms: Logistic Models
  17. Mohd Khairuddin I, Sidek SN, P P Abdul Majeed A, Mohd Razman MA, Ahmad Puzi A, Md Yusof H
    PeerJ Comput Sci, 2021;7:e379.
    PMID: 33817026 DOI: 10.7717/peerj-cs.379
    Electromyography (EMG) signal is one of the extensively utilised biological signals for predicting human motor intention, which is an essential element in human-robot collaboration platforms. Studies on motion intention prediction from EMG signals have often been concentrated on either classification and regression models of muscle activity. In this study, we leverage the information from the EMG signals, to detect the subject's intentions in generating motion commands for a robot-assisted upper limb rehabilitation platform. The EMG signals are recorded from ten healthy subjects' biceps muscle, and the movements of the upper limb evaluated are voluntary elbow flexion and extension along the sagittal plane. The signals are filtered through a fifth-order Butterworth filter. A number of features were extracted from the filtered signals namely waveform length (WL), mean absolute value (MAV), root mean square (RMS), standard deviation (SD), minimum (MIN) and maximum (MAX). Several different classifiers viz. Linear Discriminant Analysis (LDA), Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM) and k-Nearest Neighbour (k-NN) were investigated on its efficacy to accurately classify the pre-intention and intention classes based on the significant features identified (MIN and MAX) via Extremely Randomised Tree feature selection technique. It was observed from the present investigation that the DT classifier yielded an excellent classification with a classification accuracy of 100%, 99% and 99% on training, testing and validation dataset, respectively based on the identified features. The findings of the present investigation are non-trivial towards facilitating the rehabilitation phase of patients based on their actual capability and hence, would eventually yield a more active participation from them.
    Matched MeSH terms: Logistic Models
  18. Nur Hanani binti Mohamad Yusoff, Joyce Leong Whye Sook, Soo Man Jun, Ching Siew Mooi
    MyJurnal
    Introduction: Hypertension contributes to major cardiovascular morbidities and mortalities worldwide and medica- tion compliance is crucial in achieving target blood pressure control. This study aimed to determine the prevalence and factors associated with non-compliance towards anti-hypertensive medication in Malaysia. Methods: This is a cross-sectional study among hypertensive patients who were attending the medical outpatient department, Hospital Serdang from March until May 2018. Systematic random sampling was used to recruit patients and a structured self-administered questionnaire was used to collect information. Non-compliance is defined as attaining a score of 26 and below from the Medication Compliance Scale. Data analysis was done using SPSS v. 23. Multiple logistic regression was used to determine the predictors of medication non-compliance among hypertensive patients. Re- sults: A total of 120 respondents were recruited into this study with a response rate of 60.9%. Mean age of the study respondents was 60.82 ± 11.25 years old. They were predominantly female (60.8%), Malay (58.3%) and attained at least secondary educational level (75.0%). The prevalence of non-compliance towards anti-hypertensive medi- cation was 25%. Multiple logistic regression showed that side effects of medication (OR=5.59; 95% CI=1.29-24.21, p=0.021), traditional medications usage (OR=19.19; 95% CI=3.90-94.45, p=
    Matched MeSH terms: Logistic Models
  19. Draman S, Ab Rahman NS, Nik Mohamed MH, Ab Rahman J, Kartiwi M
    J Pharm Bioallied Sci, 2020 Nov;12(Suppl 2):S718-S727.
    PMID: 33828367 DOI: 10.4103/jpbs.JPBS_384_19
    Context: Electronic cigarettes have been used as a harm reduction method toward tobacco cessation. Malaysian government has enforced a strict policy to regulate the sale of electronic cigarette products because its liquid contains nicotine.

    Aims: This study aimed to explore the general public's perception toward electronic cigarette use. Public support toward electronic cigarette regulation was also examined.

    Settings and Design: This was a Malaysian population-based survey.

    Materials and Methods: Data were obtained from the National E-Cigarette Survey (NECS) 2016, which used a multistage stratified cluster sampling household survey representing all Malaysian adults aged 18 years old. A cross-sectional survey was conducted among a total of 4288 adults.

    Statistical Analysis Used: Descriptive and logistic regression analysis.

    Results: Majority were aged 25-44 years old (44%), completed at least secondary education (69%), of Malay ethnicity (73%), and married (68%). Majority (88.1%) have never used electronic cigarette. A quarter (25.5%) perceived electronic cigarette helps people quit cigarette smoking, whereas 20.3% perceived electronic cigarette helps people to maintain cigarette abstinence. Approximately 85% believed that electronic cigarette use does not help in improving breathing and coughing. Majority (91.8%) disagreed that electronic cigarettes should be allowed in places where tobacco smoking is banned. Thus, 63.4% agreed that electronic cigarette should be banned completely rather than regulated.

    Conclusion: Majority of general public had negative perception about electronic cigarette use.

    Matched MeSH terms: Logistic Models
  20. Fadzilah Mohamad, Ping Yein Lee, , Maliza Mawardi
    MyJurnal
    Introduction: The World Health Organization recommends evaluation of maternal satisfaction to improve quality of health care during childbirth. Dissatisfaction may lead to undesired outcomes such as unassisted homebirth and delay in seeking treatment. Determining the maternal satisfaction level and its associated factors may help to improve health care services and prevent negative implications to both mothers and infants. This study aimed to determine the maternal satisfaction towards intrapartum care of designated healthcare facilities and its associated factors among postnatal women. Methods: This was a cross-sectional study of postnatal women attended Klinik Kesihatan Salak from December 2017 to February 2018. Systematic random sampling with the ratio of 1:3 was applied to the eligible respondents. A self-administered questionnaire that include respondent’s socio-demographic characteristics and a validated 14-items Maternal Satisfaction with Hospital-based Intrapartum Care Scale was used. Data was analyzed using SPSS 23. Results: 274 respondents were recruited in this study. Overall, only 21.2% of respondents were sat- isfied with the intrapartum care given. The level of satisfaction was highest in interpersonal care domain (36.1%), followed by physical birth environment (34.3%) and the least satisfied was information and decision making domain (27.7%). Binary logistic regression showed that maternal satisfaction was significantly associated with place of birth (AOR (95% CI): 0.046 (0.183, 0.984)) and labour complications (AOR (95% CI): 3.387 (1.345, 8.528)). Conclusion: The overall maternal satisfaction towards intrapartum care was low and the information and decision-making do- main appeared to be the least satisfied. Maternal satisfaction was associated with place of birth and labour compli- cations. Therefore, health care providers should emphasize and improve the quality of services especially for this domain and to consider factor that contribute to dissatisfaction towards the intrapartum care.
    Matched MeSH terms: Logistic Models
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