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Post renal transplant Castleman's disease resolved after graft nephrectomy: a case report

Al Otaibi T, Al Sagheir A, Ludwin D, Meyer R

Transplant Proc, 2007 May;39(4):1276-7.
PMID: 17524952

Angiofollicular lymphoid hyperplasia (Castleman's disease) is a lymphoproliferative process thought to be mediated by overexpression of II interleukin-6. Castleman's disease has two variants: Castleman's disease has two variants: Hyaline vascular type and plasma cell variant (multicentric Castleman's disease). The hyaline vascular type tends to be localized, and the plasma cell variant shows more systematic signs and carriers a worse clinical prognosis. Castleman's disease is associated with B-cell lymphoma, Kaposi sarcoma, Human herpes virus 8 (HHV-8), and Epstein-Barr virus. Castleman's disease have been described thrice post kidney transplant. In this report, we document the course of a renal recipient who developed the plasma cell variant of Castleman's disease at 16 months after failure of his allograft and return to dialysis. He displayed clinical resolution of this complication after graft nephrectomy. To our knowledge, this is the first case where the disease manifestations disappeared after graft removal. Our patient experienced chronic renal allograft rejection which may have driven all the systematic manifestations of multicentric castleman's disease and possibly reactivated a latent HHV-8 infection. In this case immunohistochemical testing for HHV-8 was not available to prove a role for this agent.
Fulltext Sleep Quality Among Healthcare Workers During the COVID-19 Pandemic and Its Impact on Medical Errors: Kuwait Experience

Abbas A, Al-Otaibi T, Gheith OA, Nagib AM, Farid MM, Walaa M

Turk Thorac J, 2021 Mar;22(2):142-148.
PMID: 33871338 DOI: 10.5152/TurkThoracJ.2021.20245

OBJECTIVE: Millions of people suffer from sleep disturbances. In addition, the coronavirus disease 2019 (COVID-19) pandemic created several new challenges-particularly for frontline healthcare workers (HCWs). This study assessed the sleep quality (SQ) among HCWs.
MATERIAL AND METHODS: A cross-sectional study was conducted using an English-language online survey. The participants were invited via a web link sent using social network platforms. It included sociodemographic- and profession-related characteristics. COVID-19-associated risks were assessed (e.g., being on the front line, doing swabs, satisfaction about protective equipment, and management protocols). Assessment of SQ was done using the Pittsburgh Sleep Quality Index (PSQI) and various medical errors were recorded.
RESULTS: A total of 217 HCWs completed the survey with mean (±standard deviation) age of 35.8 (±7.3) years; 56.2% were male, 18.43% had comorbidities, and 61.75% experienced sleep difficulties before the COVID-19 crisis. This work reports a 78.8% prevalence of poor SQ, with the mean (standard deviation) global PSQI score of 9.36 (±4.4). HCWs with poor sleep experienced more positive comorbid profile (23.64% versus 6.52%, p=0.01). Working on the front lines of COVID-19 was associated with poor sleep (69.59% versus 47.83%, p=0.006). Among the participants, 77.42% performed medical errors, particularly not checking for drug allergies (17.97%), dispensing medication with incomplete instructions (20.74%), providing incorrect doses or overdosing (14.75%), incorrectly explaining the use of medication (9.22%), and prescribing a drug to the wrong patient (10.14%).
CONCLUSION: This nationwide survey reported high prevalence of poor SQ among HCWs during the COVID-19 pandemic. Being an HCW on the front lines of COVID-19 and doing swabs with a positive comorbidity was associated with poor sleep.
Fulltext Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic

Al-Otaibi T, Abbas A, Ashry Gheith O, Nair P, Zahab MA, Hammouda MAA, et al.

J King Saud Univ Sci, 2023 Jan;35(1):102441.
PMID: 36405649 DOI: 10.1016/j.jksus.2022.102441

The first defense line of the battle, healthcare workers (HCWs), faces a significant challenge in managing the current COVID-19 pandemic. An online electronic survey was sent to HCWs via email and social media networks. Socio-demographic data and work environment-related variables were assessed. Consequences of burnout (BO) were reported, e.g., elicited medical errors. Maslach burnout inventory was used to diagnose BO. Two hundred and eighty-four participants were included with a mean age of 39.83 ± 7.34 years, 70.8% worked in the COVID-19 frontline, 91.9% were followed daily updates about COVID-19, 63.7% were not satisfied with the coordination between triage and isolation, 64.4% got COVID-19 infection, 91.9% had a colleague or family member developed COVID-19 infection, and 21.5% experienced a colleague /a family member died due to COVID-19. Multivariate analysis by linear regression revealed that; working as a frontline HCW (OR 1.28, CI = 0.14-2.55) and sleep deprivation (OR 3.93, CI = 1.88-8.22) were the predictors of burnout.

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