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  1. Alshawaf SM, Burhamah W, Alwazzan S, AlYouha S
    Plast Reconstr Surg Glob Open, 2023 Mar;11(3):e4824.
    PMID: 36875921 DOI: 10.1097/GOX.0000000000004824
    Three-dimensional (3D) printing is a rapidly evolving field that has found its way into the medical field, providing unsurpassed contributions to the provision of patient-centered care. Its utilization lies in optimizing preoperative planning, the creation and customization of surgical guides and implants, and the designing of models that can be used to augment patient counseling and education. We integrate a simple yet effective method of scanning the forearm using an iPad device with Xkelet software to obtain a 3D printable stereolithography file, which is then incorporated to our suggested algorithmic model for designing a 3D cast, utilizing Rhinocerus design software and Grasshopper plugin. The algorithm implements a stepwise process of retopologizing the mesh, division of the cast model, creating the base surface, applying proper clearance and thickness to the mold, and creating a lightweight structure through the addition of ventilation holes to the surface with a joint connector between the two plates. In our experience, scanning and design of the patient-specific forearm cast using Xkelet and Rhinocerus, alongside implementing an algorithmic model through Grasshopper plugin has dramatically reduced the designing process from 2 to 3 hours to 4-10 minutes, further increasing the number of patient scans that can be sequenced in a short duration. In this article, we introduce a streamlined algorithmic process for the use of 3D scanning and processing software to create forearm casts that are tailored to the patients' dimensions. We emphasize the implementation of computer-aided design software for a quicker and more accurate design process.
  2. ElAbd R, AlTarrah D, AlYouha S, Bastaki H, Almazeedi S, Al-Haddad M, et al.
    Front Med (Lausanne), 2021;8:600385.
    PMID: 33748156 DOI: 10.3389/fmed.2021.600385
    Introduction: Corona Virus disease 2019 (COVID-19) caused by the Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) has become a global pandemic. The aim of this study was to investigate the impact of being on an Angiotensin-Converting Enzyme Inhibitors (ACEI) and/or Angiotensin Receptor Blockers (ARB) on hospital admission, on the following COVID-19 outcomes: disease severity, ICU admission, and mortality. Methods: The charts of all patients consecutively diagnosed with COVID-19 from the 24th of February to the 16th of June of the year 2020 in Jaber Al-Ahmed Al-Sabah hospital in Kuwait were checked. All related patient information and clinical data was retrieved from the hospitals electronic medical record system. The primary outcome was COVID-19 disease severity defined as the need for Intensive Care Unit (ICU) admission. Secondary outcome was mortality. Results: A total of 4,019 COVID-19 patients were included, of which 325 patients (8.1%) used ACEI/ARB, users of ACEI/ARB were found to be significantly older (54.4 vs. 40.5 years). ACEI/ARB users were found to have more co-morbidities; diabetes (45.8 vs. 14.8%) and hypertension (92.9 vs. 13.0%). ACEI/ARB use was found to be significantly associated with greater risk of ICU admission in the unadjusted analysis [OR, 1.51 (95% CI: 1.04-2.19), p = 0.028]. After adjustment for age, gender, nationality, coronary artery disease, diabetes and hypertension, ICU admission was found to be inversely associated with ACEI use [OR, 0.57 (95% CI: 0.34-0.88), p = 0.01] and inversely associated with mortality [OR, 0.56 (95% CI: 0.33-0.95), p = 0.032]. Conclusion: The current evidence in the literature supports continuation of ACEI/ARB medications for patients with co-morbidities that acquire COVID-19 infection. Although, the protective effects of such medications on COVID-19 disease severity and mortality remain unclear, the findings of the present study support the use of ACEI/ARB medication.
  3. Alshawaf SM, McGuire C, ElAbd R, Fakih-Gomez N, Williams J, AlYouha S, et al.
    Aesthet Surg J, 2023 Sep 20.
    PMID: 37738132 DOI: 10.1093/asj/sjad309
    BACKGROUND: The perception of an ideal nose is influenced by a variety of factors, with demographic characteristics playing a significant role in what is considered an ideal nose. The nasolabial angle (NLA) is considered one of the defining features shaping the nose.

    OBJECTIVES: This study set out to capture the perception of the ideal nasolabial angle among Canadian, Saudi, Kuwaiti, and Lebanese populations.

    METHODS: An online questionnaire-based cross-sectional study was conducted to investigate the ideal nasolabial angle among Canadian, Saudi, Kuwaiti, and Lebanese populations (N = 197). Participants were patients attending outpatient clinics, plastic surgery residents and medical students. The questionnaire consisted of demographics and perception of respondents on the ideal NLA for each gender: Male (85, 90, 95, 100, 110) and Females (95, 100, 110, 115).

    RESULTS: The majority of respondents were female (81.2%) aged between 20 and 39 (84.3%). The mean and standard deviation of ideal NLA choices in both male and female models were 97.1 +/- 6.39 and 109.5 +/- 5.32 respectively. The ideal male NLA choices were found to correlate significantly with age (p 0.044) and work status (p 0.019). In choosing the ideal female NLA, age was a significant factor (p 0.012).

    CONCLUSIONS: Identifying the ideal NLA is essential for establishing aesthetic goals for patients and surgeons alike. It is important to understand the effects of demographics on the choice of the ideal NLA, which ultimately influences the planning and outcome of rhinoplasty procedure.

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