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1.
Front Endocrinol (Lausanne) ; 15: 1342204, 2024.
Article in English | MEDLINE | ID: mdl-38948513

ABSTRACT

Purpose: Chest computed tomography (CT) is used to determine the severity of COVID-19 pneumonia, and pneumonia is associated with hyponatremia. This study aims to explore the predictive value of the semi-quantitative CT visual score for hyponatremia in patients with COVID-19 to provide a reference for clinical practice. Methods: In this cross-sectional study, 343 patients with RT-PCR confirmed COVID-19, all patients underwent CT, and the severity of lung lesions was scored by radiologists using the semi-quantitative CT visual score. The risk factors of hyponatremia in COVID-19 patients were analyzed and combined with laboratory tests. The thyroid function changes caused by SARS-CoV-2 infection and their interaction with hyponatremia were also analyzed. Results: In patients with SARS-CoV-2 infection, the total severity score (TSS) of hyponatremia was higher [M(range), 3.5(2.5-5.5) vs 3.0(2.0-4.5) scores, P=0.001], implying that patients with hyponatremia had more severe lung lesions. The risk factors of hyponatremia in the multivariate regression model included age, vomiting, neutrophils, platelet, and total severity score. SARS-CoV-2 infection impacted thyroid function, and patients with hyponatremia showed a lower free triiodothyronine (3.1 ± 0.9 vs 3.7 ± 0.9, P=0.001) and thyroid stimulating hormone level [1.4(0.8-2.4) vs 2.2(1.2-3.4), P=0.038]. Conclusion: Semi-quantitative CT score can be used as a risk factor for hyponatremia in patients with COVID-19. There is a weak positive correlation between serum sodium and free triiodothyronine in patients with SARS-CoV-2 infection.


Subject(s)
COVID-19 , Hyponatremia , SARS-CoV-2 , Severity of Illness Index , Tomography, X-Ray Computed , Humans , COVID-19/complications , COVID-19/diagnostic imaging , Hyponatremia/etiology , Cross-Sectional Studies , Male , Female , Middle Aged , Risk Factors , Tomography, X-Ray Computed/methods , Aged , Adult , Pneumonia, Viral/complications , Pneumonia, Viral/diagnostic imaging , Coronavirus Infections/complications , Coronavirus Infections/diagnostic imaging , Pandemics , Betacoronavirus , Aged, 80 and over
2.
Diabetes Metab Syndr Obes ; 17: 2165-2176, 2024.
Article in English | MEDLINE | ID: mdl-38827164

ABSTRACT

Purpose: There is evidence that long-term vascular risk remains increased in patients with hyperthyroidism even after normalization of thyroid function, and the mechanisms that regulate this risk are unclear. The aim of this study was to assess how visceral fat area and subcutaneous fat area change after hyperthyroidism treatment, and to further explore the relationship between thyroid hormones, abdominal fat area (visceral fat area and subcutaneous fat area), and lipids. Patients and Methods: 50 patients with newly diagnosed Graves' disease were selected. Anthropometric parameters (weight, height, body mass index, waist circumference, neck circumference), laboratory parameters (thyroid hormones, lipid metabolism indices), abdominal fat area (visceral fat area and subcutaneous fat area), and drug dose were collected. Measurements were made at baseline, 6 and 12 months after treatment. We used linear mixed-effects models for analysis. Results: The results showed that the following indexes changed significantly at different time points: visceral fat area, subcutaneous fat area, free triiodothyronine, free thyroxine, thyroid stimulating hormone, total cholesterol, high-density lipoprotein, low-density lipoprotein, body weight, neck circumference, body mass index, waist circumference, and drug dose (All P<0.001). We found that free triiodothyronine and free thyroxine were significantly negatively associated with abdominal fat area (P<0.01). There was no significant correlation between drug dose and abdominal fat area (P>0.05). Total cholesterol and low-density lipoprotein were significantly positively associated with abdominal fat area (P<0.01). However, high-density lipoprotein (P=0.06) was not correlated with abdominal fat area. Moreover, the results showed a significant negative correlation between thyroid hormones and lipids (P<0.001). Conclusion: After anti-thyroid medicine treatment, patients had elevated visceral fat area and subcutaneous fat area and altered lipid profiles. These changes may be one of the reasons why metabolic and cardiovascular diseases remain increased after thyroid function is restored.

3.
Liver Transpl ; 2024 Jun 12.
Article in English | MEDLINE | ID: mdl-38869989

ABSTRACT

The Stanford Integrated Psychosocial Assessment for Transplantation (SIPAT) is a standardized psychosocial assessment tool used in liver transplantation (LT) evaluation and has been primarily studied in patients with alcohol-associated liver disease. We aimed to evaluate the relationship between SIPAT score and metabolic syndrome severity and LT waitlist outcomes in a large cohort of patients with metabolic dysfunction-associated steatotic liver disease (MASLD). We performed a single-center retrospective cohort study of patients with MASLD evaluated for LT from 2014 to 2021. The utility of the previously defined total SIPAT cutoff (<21 [excellent/good candidates] vs. ≥21 [minimally acceptable/high-risk candidates]) was studied. Multivariable logistic regression analyses examined associations between continuous SIPAT scores and LT waitlisting outcomes. The Youden J statistic was used to identify the optimal SIPAT cutoff for patients with MASLD. A total of 480 patients evaluated for transplant with MASLD were included. Only 9.4% of patients had a SIPAT score ≥21. Patients with SIPAT score ≥21 had higher hemoglobin A1c compared to patients with lower psychosocial risk (median [IQR]: 7.8 [6.0-9.7] vs. 6.6 [5.8-7.9]; p = 0.04). There were no other differences in metabolic comorbidities between SIPAT groups. Increasing SIPAT score was associated with decreased odds of listing (OR: 0.82 per 5-point increase; p = 0.003) in multivariable models. A SIPAT of ≥12 was identified as the optimal cutoff in this population, resulting in an adjusted OR for a listing of 0.53 versus SIPAT <12 ( p = 0.001). In this large cohort of patients with MASLD evaluated for LT, few patients met the previously defined high SIPAT cutoff for transplant suitability. Nevertheless, increasing the SIPAT score was associated with waitlist outcomes. Our suggested SIPAT cutoff of ≥12 for patients with MASLD warrants further external validation using data from other centers.

4.
Crit Rev Oncol Hematol ; 169: 103546, 2022 Jan.
Article in English | MEDLINE | ID: mdl-34848367

ABSTRACT

Access to high-quality continuing medical education, particularly in Radiation Oncology, can be challenging in some developing countries due to economic barriers. Despite the current offer of free-access self-educational material, end user training faces a backlog still difficult to overcome. The purpose of this investigation is to report the willingness-to-pay profile of practitioners in Latin America, as a surrogate of quality perception of remote educational resources. Related factors include professional experience and baseline practice confidence levels. Most of practitioners would cover their own expenses, while an increased tendency in less-experienced professionals was observed. However, baseline knowledge confidence levels were not influential in decision making. This report contributes to better know the profile of Latin American professionals, in order to design future educational interventions in the region and bridging the current accessibility gap.


Subject(s)
Radiation Oncology , Education, Medical, Continuing , Humans , Latin America
5.
Acad Med ; 96(3): 390-394, 2021 03 01.
Article in English | MEDLINE | ID: mdl-33264112

ABSTRACT

PROBLEM: High-quality training opportunities for providers in limited-resource settings are often scarce or nonexistent. This can lead to a dearth of boots-on-the-ground workers capable of translating knowledge into effective action. The tested telehealth education model of Project ECHO (Extension for Community Healthcare Outcomes) can help address this disparity. However, the planning and logistical coordination required can be limiting. APPROACH: Medical student volunteers interested in health disparities and global health can be leveraged to reduce the costs of administration for Project ECHO programs. From mid-2018 to present (2020), student organizations have been formed at Vanderbilt University School of Medicine, University of California, San Francisco, School of Medicine, and Albert Einstein College of Medicine. These organizations have recruited and trained volunteers, who play an active role in assessing the needs of local clinics and providers, developing curricula, and coordinating the logistical aspects of programs. OUTCOMES: In the first 4 student-coordinated Project ECHO cohorts (2019-2020), 25 clinics in 14 countries participated, with a potential impact on over 20,000 cancer patients annually. Satisfaction with the telehealth education programs was high among local clinicians and expert educators. Students' perceived ability to conduct activities important to successfully orchestrating a telehealth education program was significantly greater among students who had coordinated one or more Project ECHO programs than among students who had yet to participate for 7 of 9 competencies. There also appears to be an additive effect of participating in additional Project ECHO programs on perceived confidence and career path intentions. NEXT STEPS: The student-led model of coordinating telehealth education programs described here can be readily expanded to medical schools across the nation and beyond. With continued expansion, efforts are needed to develop assessments that provide insights into participants' learning, track changes in patient outcomes, and provide continuing medical education credits to local clinicians.


Subject(s)
Students, Medical/psychology , Telemedicine/methods , Volunteers/education , Adult , Career Choice , Community Health Services/organization & administration , Curriculum/statistics & numerical data , Curriculum/trends , Educational Status , Healthcare Disparities/statistics & numerical data , Humans , Learning/physiology , Models, Educational , Program Evaluation/statistics & numerical data , Schools, Medical/organization & administration , Students, Medical/classification , Students, Medical/statistics & numerical data , Telemedicine/statistics & numerical data , United States/epidemiology
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