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1.
Singapore Med J ; 2023 Apr 07.
Artigo em Inglês | MEDLINE | ID: mdl-37077053

RESUMO

Introduction: The National Institute of Health and Care Excellence (NICE) has defined the terms, 'acute coronavirus disease 2019' (COVID-19), 'ongoing symptomatic COVID-19' and 'post-COVID-19 syndrome', with the latter two described as having persistent symptoms after the onset of COVID-19 symptoms for 4-12 weeks and >12 weeks, respectively. Persistent symptoms can either be due to the after-effects of COVID-19 or new-onset diseases after acute COVID-19. All symptoms observed beyond 4 weeks after the onset of COVID-19 need not be present at the time of onset. Previous studies on persistent post-COVID-19 symptoms have not mentioned new-onset diseases after acute COVID-19, and only a select few studies have discussed such new-onset symptoms. Methods: Ninety-five patients who attended the post-COVID-19 clinic completed the requisite follow-up till 16 weeks after COVID-19 symptom onset. Data was recorded on a predesigned proforma. Necessary investigations were conducted to rule out any other cause of persistent symptoms. Results: Fatigue (62.1%), breathlessness (50.5%) and cough (27.4%) were the most common symptoms present beyond 4 weeks after the onset of COVID-19 symptoms. Forty-nine (51.57%) patients developed post-COVID-19 syndrome - their severity of symptoms (odds ratio [OR] 17.77) and longer duration of hospital stay (OR 1.095) during acute disease were significantly associated with the development of post-COVID-19 syndrome. During follow-up, 25 patients developed new-onset symptoms, such as diabetes mellitus, hypertension and idiopathic tachycardia. Conclusion: Patients can have persistent symptoms, new-onset symptoms and new-onset diseases after recovery from acute COVID-19.

2.
J Family Med Prim Care ; 12(11): 2702-2707, 2023 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-38186786

RESUMO

Background: Diabetes is a major burden globally, more commonly so in developing countries, as its complications are detected relatively late due to underdeveloped healthcare systems. These complications, when detected, are more or less irreversible, thereby leading to increased morbidity and mortality. Among these, complications related to bones (mainly osteoporosis) start fairly early (even in the prediabetes stage) but are less emphasized, nonetheless are major contributors to morbidity in diabetics due to increased fracture risk. One of the novel bone markers recently discovered is sclerostin, which helps in the assessment of the effect of hyperglycemia on bone homeostasis. Bone mineral density (BMD) by DXA scan is a good tool to assess the status of bone health but requires modern expensive radiological equipment. In this study, we wanted to see the correlation of serum levels of sclerostin to BMD so that by a simple serum investigation, early detection of poor bone quality in treatment-naive prediabetics can be done. Objective: The aim of the study was to measure serum levels of sclerostin in prediabetics, compare them with normoglycemic controls, and find the correlation of serum levels of sclerostin with BMD. Methods: 50 prediabetic patients and 50 age, sex, blood pressure, and BMI-matched controls were recruited in the study. In both the groups, serum levels of fasting blood glucose and postprandial glucose, glycated hemoglobin (HbA1c), Vitamin D, fasting insulin, and serum sclerostin levels were measured in both groups using ELISA. The obtained values were compared between the two groups. Bone mineral density is measured by DXA scan in cases and a correlation between BMD and serum levels of sclerostin was observed. Results: Serum sclerostin was significantly higher in the cases [18.22 (19.42) ng/ml] compared to the control group [11.08 (4.73) ng/ml] with a P value of 0.013. The mean of BMD in prediabetes is 1.06 g/cm2, T score is - 1.02, and Z score is - 0.59. There was a significant negative correlation between serum sclerostin levels and BMD in prediabetes (r = -0.404, P < 0.001). Conclusion: Serum levels of sclerostin are increased in prediabetes and correlate well with low BMD in prediabetes, and can therefore be used for early recognition of osteoporosis and fractures in diabetes.

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