Displaying publications 1 - 20 of 183 in total

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  1. Mutlaq KA, Nyangaresi VO, Omar MA, Abduljabbar ZA, Abduljaleel IQ, Ma J, et al.
    PLoS One, 2024;19(1):e0296781.
    PMID: 38261555 DOI: 10.1371/journal.pone.0296781
    The incorporation of information and communication technologies in the power grids has greatly enhanced efficiency in the management of demand-responses. In addition, smart grids have seen considerable minimization in energy consumption and enhancement in power supply quality. However, the transmission of control and consumption information over open public communication channels renders the transmitted messages vulnerable to numerous security and privacy violations. Although many authentication and key agreement protocols have been developed to counter these issues, the achievement of ideal security and privacy levels at optimal performance still remains an uphill task. In this paper, we leverage on Hamming distance, elliptic curve cryptography, smart cards and biometrics to develop an authentication protocol. It is formally analyzed using the Burrows-Abadi-Needham (BAN) logic, which shows strong mutual authentication and session key negotiation. Its semantic security analysis demonstrates its robustness under all the assumptions of the Dolev-Yao (DY) and Canetti- Krawczyk (CK) threat models. From the performance perspective, it is shown to incur communication, storage and computation complexities compared with other related state of the art protocols.
    Matched MeSH terms: Biometry
  2. Khade S, Gite S, Thepade SD, Pradhan B, Alamri A
    Sensors (Basel), 2021 Nov 08;21(21).
    PMID: 34770715 DOI: 10.3390/s21217408
    Iris biometric detection provides contactless authentication, preventing the spread of COVID-19-like contagious diseases. However, these systems are prone to spoofing attacks attempted with the help of contact lenses, replayed video, and print attacks, making them vulnerable and unsafe. This paper proposes the iris liveness detection (ILD) method to mitigate spoofing attacks, taking global-level features of Thepade's sorted block truncation coding (TSBTC) and local-level features of the gray-level co-occurrence matrix (GLCM) of the iris image. Thepade's SBTC extracts global color texture content as features, and GLCM extracts local fine-texture details. The fusion of global and local content presentation may help distinguish between live and non-live iris samples. The fusion of Thepade's SBTC with GLCM features is considered in experimental validations of the proposed method. The features are used to train nine assorted machine learning classifiers, including naïve Bayes (NB), decision tree (J48), support vector machine (SVM), random forest (RF), multilayer perceptron (MLP), and ensembles (SVM + RF + NB, SVM + RF + RT, RF + SVM + MLP, J48 + RF + MLP) for ILD. Accuracy, precision, recall, and F-measure are used to evaluate the performance of the projected ILD variants. The experimentation was carried out on four standard benchmark datasets, and our proposed model showed improved results with the feature fusion approach. The proposed fusion approach gave 99.68% accuracy using the RF + J48 + MLP ensemble of classifiers, immediately followed by the RF algorithm, which gave 95.57%. The better capability of iris liveness detection will improve human-computer interaction and security in the cyber-physical space by improving person validation.
    Matched MeSH terms: Biometry
  3. Hoh SM, Wahab MYA, Hisham AN, Guest GD, Watters DAK
    ANZ J Surg, 2021 Jun 01.
    PMID: 34075677 DOI: 10.1111/ans.16986
    BACKGROUND: Surgical conditions form a significant proportion of the global burden of disease. Since the 2015 World Health Assembly resolution A68.15, there is recognition that the provision of essential surgical care is an integral part of universal access to health care. The Lancet Commission on Global Surgery proposed its first surgical indicator to measure a population's access to the Bellwether procedures (laparotomy, caesarean section and treatment of open fracture) within two hours. Bellwether access is a proxy for emergency and essential surgical care. This project aims to map essential surgical access to the Bellwether procedures in Malaysia.

    METHODS: The location and capability of hospitals to perform the Bellwether procedures was obtained from the Ministry of Health (MoH) and MoH hospital specific websites. The Malaysian population data were retrieved from the national department of statistics. Times for patients to travel to hospital were calculated by combining manual contouring and geospatial mapping.

    RESULTS: There were 49 Bellwether-capable MoH hospitals serving a national population of 32.5 million. Overall 94% of Malaysia's population have access to the Bellwethers within two hours. This coverage is universal in West (Peninsular) Malaysia, but there is only 73% coverage in East Malaysia, with 1.8 million residents of Sabah and Sarawak not having timely access. Malaysia's Bellwether capacity compares well with other countries in World Health Organisation's Western Pacific region.

    CONCLUSION: There is good access to essential and emergency surgical services in Malaysia. The incomplete access for 1.8 million people in East Malaysia will inform national surgical planning.

    Matched MeSH terms: Biometry
  4. Alsanabani AAM, Yusof ZYM, Wan Hassan WN, Aldhorae K, Alyamani HA
    Children (Basel), 2021 May 25;8(6).
    PMID: 34070552 DOI: 10.3390/children8060448
    (1) Objectives: This paper aimed to cross-culturally adapt the Psychosocial Impact of Dental Aesthetics Questionnaire (PIDAQ) into an Arabic language version (PIDAQ(A)) for measuring the oral health related quality of life related to dental aesthetics among 12-17-year-old Yemeni adolescents. (2) Material and methods: The study comprised three parts, which were linguistic validation and qualitative interview, comprehensibility assessment, and psychometric validations. Psychometric properties were examined for validity (exploratory factor analysis (EFA), partial confirmatory factor analysis (PCFA), construct, criterion, and discriminant validity) and reliability (internal consistency and reproducibility). (3) Results: The PIDAQ(A) contained a new item. EFA extracted three factors (item factor loading 0.375 to 0.918) comprising dental self-confidence, aesthetic concern, and psychosocial impact subscales. PCFA showed good fit statistics (comparative fit index (CFI) = 0.928, root-mean-square error of approximation (RMSEA) = 0.071). In addition, invariance across age groups was tested. Cronbach's α values ranged from 0.90 to 0.93 (intraclass correlations = 0.89-0.96). A criterion validity test showed that the PIDAQ(A) had a significant association with oral impacts on daily performance scores. A construct validity test showed significant associations between PIDAQ(A) subscales and self-perceived dental appearance and self-perceived need for orthodontic braces (p < 0.05). Discriminant validity presented significant differences in the mean PIDAQ(A) scores between subjects having severe malocclusion and those with slight malocclusion. No floor or ceiling effects were detected.
    Matched MeSH terms: Biometry
  5. Charles APT, Shukrimi BA, Zamzuri BZ, Ardilla HBAR
    J Orthop Case Rep, 2021 5 7;10(3):108-113.
    PMID: 33954149 DOI: 10.13107/jocr.2020.v10.i03.1772
    Introduction: The prevalence of knee osteoarthritis is on the raise. This raise has been a huge financial burden to developed countries in treating the disease. Transcutaneous electrical nerve stimulation (TENS) is a cost-effective, easily available, and self-applicable mode of non-pharmacological pain relieve technique. Despite these advantages, the use, settings, and effectiveness of portable TENS are still poorly understood. The aim of this study is to determine the effectiveness of portable TENS at different frequencies in treating knee osteoarthritis.

    Materials and Methods: This is a single-center quasi-experimental study involving 100 patients seen in the outpatient department with knee osteoarthritis. They were randomly (computer generated) allocated into two arms (high frequency [H-F] or low frequency [L-F]). H-F is set at 100 Hz and L-F is set at 4 Hz. A baseline assessment is taken with the visual analog score (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Oxford Knee Score, and Lequesne index. They were instructed to self-administer the TENS therapy as per protocol and followed up at the 4th and 12th week to be reevaluated on the above scores.

    Results: The final results show that both H-F and L-F groups showed improvement in all parameters of the VAS, WOMAC index, Oxford Knee Score, and Lequesne index (73%). Only the pain component of Lequesne index, activities of daily living component of Lequesne index, total Lequesne index, and pain component of WOMAC index shows a statistically significant difference, favoring the H-F group. The H-F group yields a faster result; however, with time the overall effect remains the same in both groups.

    Conclusion: Both H-F and L-F groups show improvement in all the component of Lequesne index, Oxford Knee Score, WOMAC index, and VAS with no statistical difference between the two groups. Although H-F yields a faster result, not everyone is able to tolerate the intensity. Therefore, the selection of H-F or L-F should be done on case basis depending on the severity of symptoms, patient's expectation, and patient's ability to withstand the treatment therapy. Based on this 12th week follow-up, both groups will continue to improve with time. A longer study should be conducted to see it this improvement will eventually plateau off or continue to improve until the patient is symptom free.

    Matched MeSH terms: Biometry
  6. Haque F, Bin Ibne Reaz M, Chowdhury MEH, Srivastava G, Hamid Md Ali S, Bakar AAA, et al.
    Diagnostics (Basel), 2021 Apr 28;11(5).
    PMID: 33925190 DOI: 10.3390/diagnostics11050801
    BACKGROUND: Diabetic peripheral neuropathy (DSPN), a major form of diabetic neuropathy, is a complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is a very common and well-established field of research, its application in diabetic peripheral neuropathy (DSPN) diagnosis using composite scoring techniques like Michigan Neuropathy Screening Instrumentation (MNSI), is very limited in the existing literature.

    METHOD: In this study, the MNSI data were collected from the Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials. Two different datasets with different MNSI variable combinations based on the results from the eXtreme Gradient Boosting feature ranking technique were used to analyze the performance of eight different conventional ML algorithms.

    RESULTS: The random forest (RF) classifier outperformed other ML models for both datasets. However, all ML models showed almost perfect reliability based on Kappa statistics and a high correlation between the predicted output and actual class of the EDIC patients when all six MNSI variables were considered as inputs.

    CONCLUSIONS: This study suggests that the RF algorithm-based classifier using all MNSI variables can help to predict the DSPN severity which will help to enhance the medical facilities for diabetic patients.

    Matched MeSH terms: Biometry
  7. Hassan H, Jin B, Dai S
    Environ Technol, 2021 Apr 01.
    PMID: 33749543 DOI: 10.1080/09593330.2021.1907451
    The interactions within microbial, chemical and electronic elements in microbial fuel cell (MFC) system can be crucial for its bio-electrochemical activities and overall performance. Therefore, this study explored polynomial models by response surface methodology (RSM) to better understand interactions among anode pH, cathode pH and inoculum size for optimising MFC system for generation of electricity and degradation of 2,4-dichlorophenol. A statistical central composite design by RSM was used to develop the quadratic model designs. The optimised parameters were determined and evaluated by statistical results and the best MFC systematic outcomes in terms of current generation and chlorophenol degradation. Statistical results revealed that the optimum current density of 106 mA/m2 could be achieved at anode pH 7.5, cathode pH 6.3-6.6 and 21-28% for inoculum size. Anode-cathode pHs interaction was found to positively influence the current generation through extracellular electron transfer mechanism. The phenolic degradation was found to have lower response using these three parameter interactions. Only inoculum size-cathode pH interaction appeared to be significant where the optimum predicted phenolic degradation could be attained at pH 7.6 for cathode pH and 29.6% for inoculum size.
    Matched MeSH terms: Biometry
  8. Bujang MA
    Malays J Med Sci, 2021 Apr;28(2):15-27.
    PMID: 33958957 DOI: 10.21315/mjms2021.28.2.2
    Determination of a minimum sample size required for a study is a major consideration which all researchers are confronted with at the early stage of developing a research protocol. This is because the researcher will need to have a sound prerequisite knowledge of inferential statistics in order to enable him/her to acquire a thorough understanding of the overall concept of a minimum sample size requirement and its estimation. Besides type I error and power of the study, some estimates for effect sizes will also need to be determined in the process to calculate or estimate the sample size. The appropriateness in calculating or estimating the sample size will enable the researchers to better plan their study especially pertaining to recruitment of subjects. To facilitate a researcher in estimating the appropriate sample size for their study, this article provides some recommendations for researchers on how to determine the appropriate sample size for their studies. In addition, several issues related to sample size determination were also discussed.
    Matched MeSH terms: Biometry
  9. Shahrin AA, Ghani SHA, Norman NH
    Korean J Orthod, 2021 Mar 25;51(2):86-94.
    PMID: 33678624 DOI: 10.4041/kjod.2021.51.2.86
    Objective: This study aimed to investigate the effect of micro-osteoperforations (MOPs) on external apical root resorption (EARR) during the initial orthodontic alignment phase of maxillary anterior crowding.

    Methods: Thirty patients (25 females, 5 males; mean age, 22.66 ± 3.27 years) who presented with moderate crowding of the upper labial segment and underwent extraction-based fixed appliance treatment were recruited. They were randomly allocated to receive adjunctive therapy with MOPs (n = 15) or treatment with fixed appliances only (control group; n = 15). EARR was measured from long-cone periapical radiographs taken at the start and the sixth month of treatment. A correction factor for the enlargement difference was used to calculate EARR. Data were analyzed with descriptive statistics and repeated-measures analysis of variance.

    Results: The mean root lengths of 168 teeth were measured and showed no statistically significant difference (p > 0.05) after six months of fixed appliance treatment in the MOP (mean difference [MD] = 0.13 mm; 95% confidence interval [CI] = -0.10-0.35) and control group (MD = 0.14 mm; 95% CI = -0.10-0.37). Most of the roots in the MOP and control groups (42.86% and 52.38%, respectively) showed only mild resorption. Less than 8% of the roots in both groups (7.14% in the MOP group and 4.76% in the control group) showed moderate resorption.

    Conclusions: Acceleration of orthodontic tooth movement with adjunctive MOPs therapy during the alignment phase does not exacerbate EARR in patients with moderate crowding of the upper labial segment in comparison with controls.

    Matched MeSH terms: Biometry
  10. Tang WS, Chan MW, Kow FP, Ambigapathy R, Wong JHW, Thiruvengadam V, et al.
    Malays Fam Physician, 2021 Mar 25;16(1):75-83.
    PMID: 33948145 DOI: 10.51866/oa1096
    Background: The low detection rate of tuberculosis (TB) cases in Malaysia remains a challenge in the effort to end TB by 2030. The collaboration between private and public health care facilities is essential in addressing this issue. As of now, no private-public health care collaborative program in pulmonary tuberculosis (PTB) screening exists in Malaysia.

    Aim: To determine the feasibility of a collaborative program between private general practitioners (GPs) and the public primary health clinics in PTB screening and to assess the yield of smear-positive PTB from this program.

    Methods: A prospective cohort study using convenient sampling was conducted involving GPs and public health clinics in the North-East District, Penang, from March 2018 to May 2019. In this study, GPs could direct all suspected PTB patients to perform a sputum acid fast bacilli (AFB) direct smear in any of the dedicated public primary health clinics. The satisfaction level of both the GPs and their patients were assessed using a self-administered client satisfaction questionnaire. IBM SPSS Statistical Software was used to analyze the data.

    Results: Out of a total of 31 patients who underwent the sputum investigation for PTB, one (3.2%) was diagnosed to have smear-positive PTB. Most of the patients (>90%) and GPs (66.7%) agreed to continue with this program in the future. Furthermore, most of the patients (>90%) were satisfied with the program structure.

    Conclusion: It is potentially feasible to involve GPs in combating TB. However, a more structured program addressing the identified issues is needed to make the collaborative program a success.

    Matched MeSH terms: Biometry
  11. Malik A, Tikhamarine Y, Sammen SS, Abba SI, Shahid S
    PMID: 33751346 DOI: 10.1007/s11356-021-13445-0
    Drought is considered one of the costliest natural disasters that result in water scarcity and crop damage almost every year. Drought monitoring and forecasting are essential for the efficient management of water resources and sustainability in agriculture. However, the design of a consistent drought prediction model based on the dynamic relationship of the drought index with its antecedent values remains a challenging task. In the present research, the SVR (support vector regression) model was hybridized with two different optimization algorithms namely; Particle Swarm Optimization (PSO) and Harris Hawks Optimization (HHO) for reliable prediction of effective drought index (EDI) 1 month ahead, at different locations of Uttarakhand State of India. The inputs of the models were selected through partial autocorrelation function (PACF) analysis. The output produced by the SVR-HHO and SVR-PSO models was compared with the EDI estimated from observed data using five statistical indicators, i.e., RMSE (Root Mean Square Error), MAE (Mean Absolute Error), COC (Coefficient of Correlation), NSE (Nash-Sutcliffe Efficiency), WI (Willmott Index), and graphical inspection of radar-chart, time-variation plot, box-whisker plot, and Taylor diagram. Appraisal of results indicates that the SVR-HHO model (RMSE = 0.535-0.965, MAE = 0.363-0.622, NSE = 0.558-0.860, COC = 0.760-0.930, and WI = 0.862-0.959) outperformed the SVR-PSO model (RMSE = 0.546-0.967, MAE = 0.372-0.625, NSE = 0.556-0.855, COC = 0.758-0.929, and WI = 0.861-0.956) in predicting EDI. Visual inspection of model performances also showed a better performance of SVR-HHO compared to SVR-PSO in replicating the median, inter-quartile range, spread, and pattern of the EDI estimated from observed rainfall. The results indicate that the hybrid SVR-HHO approach can be utilized for reliable EDI predictions in the study area.
    Matched MeSH terms: Biometry
  12. 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: Biometry
  13. 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: Biometry
  14. Loh HC, Lim R, Lee KW, Ooi CY, Chuan DR, Looi I, et al.
    Stroke Vasc Neurol, 2021 Mar;6(1):109-120.
    PMID: 33109618 DOI: 10.1136/svn-2020-000519
    There are several previous studies on the association of vitamin E with prevention of stroke but the findings remain controversial. We have conducted a systematic review, meta-analysis together with trial sequential analysis of randomised controlled trials to evaluate the effect of vitamin E supplementation versus placebo/no vitamin E on the risk reduction of total, fatal, non-fatal, haemorrhagic and ischaemic stroke. Relevant studies were identified by searching online databases through Medline, PubMed and Cochrane Central Register of Controlled Trials. A total of 18 studies with 148 016 participants were included in the analysis. There was no significant difference in the prevention of total stroke (RR (relative risk)=0.98, 95% CI 0.92-1.04, p=0.57), fatal stroke (RR=0.96, 95% CI 0.77-1.20, p=0.73) and non-fatal stroke (RR=0.96, 95% CI 0.88-1.05, p=0.35). Subgroup analyses were performed under each category (total stroke, fatal stroke and non-fatal stroke) and included the following subgroups (types of prevention, source and dosage of vitamin E and vitamin E alone vs control). The findings in all subgroup analyses were statistically insignificant. In stroke subtypes analysis, vitamin E showed significant risk reduction in ischaemic stroke (RR=0.92, 95% CI 0.85-0.99, p=0.04) but not in haemorrhagic stroke (RR=1.17, 95% CI 0.98-1.39, p=0.08). However, the trial sequential analysis demonstrated that more studies were needed to control random errors. Limitations of this study include the following: trials design may not have provided sufficient power to detect a change in stroke outcomes, participants may have had different lifestyles or health issues, there were a limited number of studies available for subgroup analysis, studies were mostly done in developed countries, and the total sample size for all included studies was insufficient to obtain a meaningful result from meta-analysis. In conclusion, there is still a lack of statistically significant evidence of the effects of vitamin E on the risk reduction of stroke. Nevertheless, vitamin E may offer some benefits in the prevention of ischaemic stroke and additional well-designed randomised controlled trials are needed to arrive at a definitive finding. PROSPERO registration number: CRD42020167827.
    Matched MeSH terms: Biometry
  15. Mudiganty S, Austine J
    Malays Orthop J, 2021 Mar;15(1):27-31.
    PMID: 33880145 DOI: 10.5704/MOJ.2103.005
    Introduction: Distraction osteogenesis has been used effectively in the management of tibia non-unions with skeletal defect. A retrospective case series study of the infected non-union tibia managed with acute docking in a rail fixation system was conducted at a tertiary care hospital in South India. It was designed to evaluate the use of autologous bone graft at the docking site in achieving an early union with a seven years follow-up period.

    Materials and Methods: From 2010 to 2017, a total of 19 patients with infected tibia non-union and a bone defect less than 3cm, were treated with debridement and a monolateral frame fixation with acute shortening and lengthening. The patients were divided into two groups: one in which no bone graft was used at the docking site during early years of the study; and a later group in which autologous bone graft was used at the acute docking site primarily in addition to compression. Consolidation at the docking site was assessed both radiographically and clinically, and the results were statistically analysed.

    Results: There were 12 patients in Group I without bone graft, where consolidation at the docking site was noted after a mean duration of 22.08 ± 3.87 weeks. There were seven patients in Group II with bone graft, where the mean time for docking site consolidation was significantly lower at 16.57 ± 3.82 weeks. No docking site complications were noted in either group.

    Conclusion: Primary autologous bone graft enhances docking site consolidation in acute shortening. The routine use of bone graft at the docking site in acute shortening will expedite the docking site union with reduction of treatment time.

    Matched MeSH terms: Biometry
  16. Chuah CH, Gani Y, Sim B, Chidambaram SK
    J R Coll Physicians Edinb, 2021 03;51(1):24-30.
    PMID: 33877130 DOI: 10.4997/JRCPE.2021.107
    BACKGROUND: Carbapenem-resistant Enterobacteriaceae (CRE) infection has become a major challenge to clinicians. The aim of this study is to identify the risk factors of acquiring CRE to guide more targeted screening for hospital admissions.

    METHODS: This is a retrospective case-control study (ratio 1:1) where a patient with CRE infection or colonisation was matched with a control. The control was an individual who tested negative for CRE but was a close contact of a patient testing positive and was admitted at the same time and place. Univariate and multivariate statistical analyses were done.

    RESULTS: The study included 154 patients. The majority of the CRE was Klebsiella species (83%). From univariate analysis, the significant risk factors were having a history of indwelling devices (OR: 2.791; 95% CI: 1.384-5.629), concomitant other MDRO (OR: 2.556; 95% CI: 1.144-5.707) and hospitalisation for more than three weeks (OR: 2.331; 95% CI: 1.163-4.673). Multivariate analysis showed that being unable to ambulate on admission (adjusted OR: 2.345; 95% CI: 1.170-4.699) and antibiotic exposure (adjusted OR: 3.515; 95% CI: 1.377-8.972) were independent predictors. The in-hospital mortality rate of CRE infection was high (64.5%). CRE acquisition resulted in prolonged hospitalisation (median=35 days; P<0.001).

    CONCLUSION: CRE infection results in high morbidity and mortality. On top of the common risk factors, patients with mobility restriction, prior antibiotic exposures and hospitalisation for more than three weeks should be prioritised in the screening strategy to control the spread of CRE.

    Matched MeSH terms: Biometry
  17. Chaudhry MH, Ahmad A, Gulzar Q, Farid MS, Shahabi H, Al-Ansari N
    Sensors (Basel), 2021 Feb 27;21(5).
    PMID: 33673425 DOI: 10.3390/s21051649
    Unmanned Aerial Vehicle (UAV) is one of the latest technologies for high spatial resolution 3D modeling of the Earth. The objectives of this study are to assess low-cost UAV data using image radiometric transformation techniques and investigate its effects on global and local accuracy of the Digital Surface Model (DSM). This research uses UAV Light Detection and Ranging (LIDAR) data from 80 meters and UAV Drone data from 300 and 500 meters flying height. RAW UAV images acquired from 500 meters flying height are radiometrically transformed in Matrix Laboratory (MATLAB). UAV images from 300 meters flying height are processed for the generation of 3D point cloud and DSM in Pix4D Mapper. UAV LIDAR data are used for the acquisition of Ground Control Points (GCP) and accuracy assessment of UAV Image data products. Accuracy of enhanced DSM with DSM generated from 300 meters flight height were analyzed for point cloud number, density and distribution. Root Mean Square Error (RMSE) value of Z is enhanced from ±2.15 meters to 0.11 meters. For local accuracy assessment of DSM, four different types of land covers are statistically compared with UAV LIDAR resulting in compatibility of enhancement technique with UAV LIDAR accuracy.
    Matched MeSH terms: Biometry
  18. Chang CT, Ang JY, Islam MA, Chan HK, Cheah WK, Gan SH
    Pharmaceuticals (Basel), 2021 Feb 25;14(3).
    PMID: 33669084 DOI: 10.3390/ph14030187
    Drug-related problems (DRPs) in the elderly include polypharmacy, potentially inappropriate medications, nonadherence, and drug-related falls. In this systematic review and meta-analysis, the prevalence of DRPs and complementary and alternative medicine (CAM) use among the Malaysian elderly was estimated. PubMed, Scopus, Web of Science, and Google Scholar databases were searched to identify studies published since their inception up to 24 August 2020. A random-effects model was used to generate the pooled prevalence of DRPs along with its corresponding 95% confidence interval (CI). The heterogeneity of the results was estimated using the I2 statistics, and Cochran's Q test and sensitivity analyses were performed to confirm the robustness of the results. We identified 526 studies, 23 of which were included in the meta-analysis. (n = 29,342). The pooled prevalence of DRPs among Malaysian elderly was as follows: (1) polypharmacy: 49.5% [95% CI: 20.5-78.6], (2) potentially inappropriate medications: 28.9% [95% CI: 25.4-32.3], (3) nonadherence to medications: 60.6% [95% CI: 50.2-70.9], and (4) medication-related falls 39.3% [95% CI: 0.0-80.8]. Approximately one in two Malaysian elderly used CAM. The prevalence of polypharmacy and potentially inappropriate medications among the Malaysian elderly population was high, calling for measures and evidence-based guidelines to ensure the safe medication use.
    Matched MeSH terms: Biometry
  19. Guan NC, Beng TS, Sue-Yin L, Kanagasundram S
    Indian J Palliat Care, 2021 02 17;27(1):83-88.
    PMID: 34035622 DOI: 10.4103/IJPC.IJPC_122_20
    Context: While pain is a common complaint among palliative cancer patients, there is little research looking into nonpharmacological methods for the reduction of pain in the palliative setting.

    Aim: This study aims to study the efficacy of 5-min mindful breathing for rapid reduction of pain in a palliative care setting.

    Methods: This is a sub-analysis of the previous randomized controlled study on distress reduction. Sixty patients were recruited and randomly assigned to either the intervention (5-min mindful breathing) or the control (5-min normal listening) group. Participants reported their pain on a 10-item analog scale at baseline, immediately after intervention and 10 min postintervention. Changes in pain scores were further analyzed.

    Results: Pain scores decreased for both the intervention and control groups. However, the reduction of pain did not reach statistical difference in both groups (P > 0.05).

    Conclusion: Five-minute mindful breathing is a quick and easy to administer therapy but does not have significant effects in terms of pain reduction in palliative settings. Future research and directions are nonetheless suggested and encouraged to look for short-term mindfulness-based therapies on pain reduction for this population.

    Matched MeSH terms: Biometry
  20. Seow D, Shimozono Y, Tengku Yusof TNB, Yasui Y, Massey A, Kennedy JG
    Am J Sports Med, 2021 02;49(2):529-537.
    PMID: 32427520 DOI: 10.1177/0363546520916729
    BACKGROUND: Hamstring injuries are common and account for considerable time lost to play in athletes. Platelet-rich plasma has potential as a means to accelerate healing of these injuries.

    PURPOSE: (1) To present the evidence of platelet-rich plasma injection in the treatment of hamstring injuries, (2) evaluate the "best-case scenario" in dichotomous outcomes, and (3) evaluate the "worst-case scenario" in dichotomous outcomes.

    STUDY DESIGN: Systematic review and meta-analysis.

    METHODS: Two authors systematically reviewed the PubMed, Embase, and Cochrane Library databases according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, with any discrepancies resolved by mutual consensus. The level of evidence was assessed per the criteria of the Oxford Centre for Evidence-Based Medicine and the quality of evidence by the Coleman Methodology Score. Meta-analysis by fixed effects models was used if heterogeneity was low (I2 < 25%) and random effects models if heterogeneity was moderate to high (I2≥ 25%). P values

    Matched MeSH terms: Biometry
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