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  1. Chew SC, Beh ZY, Hakumat Rai VR, Jamaluddin MF, Ng CC, Chinna K, et al.
    J Vasc Access, 2020 Jan;21(1):26-32.
    PMID: 31148509 DOI: 10.1177/1129729819852057
    PURPOSE: Central venous catheter insertion is a common procedure in the intensive care setting. However, complications persist despite real-time ultrasound guidance. Recent innovation in needle navigation technology using guided positioning system enables the clinician to visualize the needle's real-time position and trajectory as it approaches the target. We hypothesized that the guided positioning system would improve performance time in central venous catheter insertion.

    METHODS: A prospective randomized study was conducted in a single-center adult intensive care unit. In total, 100 patients were randomized into two groups. These patients underwent internal jugular vein central venous catheter cannulation with ultrasound guidance (short-axis scan, out-of-plane needling approach) in which one group adopted conventional method, while the other group was aided with the guided positioning system. Outcomes were measured by procedural efficacy (success rate, number of attempts, time to successful cannulation), complications, level of operators' experience, and their satisfaction.

    RESULTS: All patients had successful cannulation on the first attempt except for one case in the conventional group. The median performance time for the guided positioning system method was longer (25.5 vs 15.5 s; p = 0.01). And 86% of the operators had more than 3-year experience in anesthesia. One post-insertion hematoma occurred in the conventional group. Only 88% of the operators using the guided positioning system method were satisfied compared to 100% in the conventional group.

    CONCLUSION: Ultrasound-guided central venous catheter insertion via internal jugular vein was a safe procedure in both conventional and guided positioning system methods. The guided positioning system did not confer additional benefit but was associated with slower performance time and lower satisfaction level among the experienced operators.

  2. Ho YL, Jamaluddin MF, Krishinan S, Salleh A, Khamis AY, Abdul Kareem BA
    Asian Cardiovasc Thorac Ann, 2020 Mar;28(3):152-157.
    PMID: 32122151 DOI: 10.1177/0218492320910932
  3. Ng CC, Lee ZY, Chan WY, Jamaluddin MF, Tan LJ, Sitaram PN, et al.
    JPEN J Parenter Enteral Nutr, 2020 03;44(3):425-433.
    PMID: 31173666 DOI: 10.1002/jpen.1666
    BACKGROUND: Low muscularity (LM) is associated with high mortality in the Caucasian critically ill population. Muscularity can be accurately measured by the skeletal muscle index (SMI; cm2 /m2 ) generated by computed tomography (CT). This study aimed to establish the overall and sex-specific cutoff values that predict hospital mortality in an Asian critically ill population.

    METHODS: This single-center, retrospective, observational study included patients aged ≥18 years with an abdominal CT conducted within 72 hours of admission to the intensive care unit. SMI generated from CT images at the level of the mid-third lumbar vertebra were extracted from the medical records. Area under the receiver operating characteristic curves (AUC) was generated to determine the SMI cutoff values for hospital mortality. Association between LM (defined by SMI cutoff value) and hospital mortality was further evaluated by multivariable logistic regression.

    RESULTS: In a sample of 228 patients, the overall SMI cutoff value (cm2 /m2 ) for hospital mortality was 42.0 (AUC: 0.637; sensitivity: 66.7%, specificity: 56.8%), whereas it was 46.5 in males and 35.3 in females. More males than females had LM (51.4% vs 37.5%), and >40% of overweight/obese patients had LM. Patients with LM were older and had a longer duration of mechanical ventilation and hospitalization. After adjusting for known confounders, LM independently predicted hospital mortality in the overall sample (adjusted odds ratio: 2.42; 95% CI 1.16-5.03; P = 0.003) and in both sexes.

    CONCLUSION: This study established a set of SMI cutoff values that predict hospital mortality. LM is independently associated with hospital mortality.

  4. Ahmad Fauzi MF, Wan Ahmad WSHM, Jamaluddin MF, Lee JTH, Khor SY, Looi LM, et al.
    Diagnostics (Basel), 2022 Dec 08;12(12).
    PMID: 36553102 DOI: 10.3390/diagnostics12123093
    Hormone receptor status is determined primarily to identify breast cancer patients who may benefit from hormonal therapy. The current clinical practice for the testing using either Allred score or H-score is still based on laborious manual counting and estimation of the amount and intensity of positively stained cancer cells in immunohistochemistry (IHC)-stained slides. This work integrates cell detection and classification workflow for breast carcinoma estrogen receptor (ER)-IHC-stained images and presents an automated evaluation system. The system first detects all cells within the specific regions and classifies them into negatively, weakly, moderately, and strongly stained, followed by Allred scoring for ER status evaluation. The generated Allred score relies heavily on accurate cell detection and classification and is compared against pathologists' manual estimation. Experiments on 40 whole-slide images show 82.5% agreement on hormonal treatment recommendation, which we believe could be further improved with an advanced learning model and enhancement to address the cases with 0% ER status. This promising system can automate the exhaustive exercise to provide fast and reliable assistance to pathologists and medical personnel. The system has the potential to improve the overall standards of prognostic reporting for cancer patients, benefiting pathologists, patients, and also the public at large.
  5. Rozali MA, Abd Rahman NS, Sulaiman H, Abd Rahman AN, Atiya N, Wan Mat WR, et al.
    J Pharm Bioallied Sci, 2020 Nov;12(Suppl 2):S804-S809.
    PMID: 33828380 DOI: 10.4103/jpbs.JPBS_266_19
    Introduction: Approach to managing infection in the intensive care unit (ICU) often varies between institutions and not many readily adapt to available local guidelines despite it was constructed to suite local clinical scenario. Malaysia already has two published guidelines on managing infection in the ICU but data on its compliance are largely unknown.

    Objectives: A cross-sectional survey was carried out and sent to a total of 868 specialists working primarily in the ICU. The aim of this study was to explore knowledge, perception, and the antibiotic prescribing practice among specialists and advanced trainees in Malaysian ICU.

    Materials and Methods: A cross-sectional survey was used, consisted of three sections: knowledge, perception, and antibiotic prescribing practice in ICU. Three case vignettes on hospital-acquired pneumonia (HAP), infected necrotizing pancreatitis (INP), and catheter-related bloodstream infection (CRBSI) were used to explore antibiotic prescribing practice.

    Results: A total of 868 eligible subjects were approached with 104 responded to the survey. Three hundred eighty-nine antibiotics were chosen from seven different classes in the case vignettes. All respondents acknowledged the importance of pharmacokinetic/pharmacodynamic (PK/PD) in antibiotic optimization and majority (97.2%) perceived that current dosing is inadequate to achieve optimal PK/PD target in ICU patients. Majority (85.6%) believed that antibiotic dose should be streamlined to the organisms' minimum inhibitory concentration (MIC). In terms of knowledge, only 64.4% provided the correct correlations between antibiotics and their respective PK/PD targets. Compliance rates in terms of antibiotic choices were at 79.8%, 77.8%, and 27.9% for HAI, INP, and CRBSI, respectively.

    Conclusion: Malaysian physicians are receptive to use PK/PD approach to optimize antibiotic dosing in ICU patients. Nonetheless, there are still gaps in the knowledge of antibiotic PK/PD as well as its application in the critically ill, especially for β-lactams.

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