COVID-19出院后前6个月住院情况评价

Miraç Koç, Özgür Önen, Begüm Üzer, B. Çalışır, Fatma Mutlu Kukul Güven
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摘要

目的:虽然COVID-19对康复后的患者有许多影响,但尚不清楚这些影响是康复过程的一部分还是引发其他疾病。铁蛋白作为确定疾病严重程度和预后的急性期反应物,本研究旨在探讨铁蛋白是否在确定疾病后出现的症状中起作用。方法:对300例PCR阳性且累及肺部的住院患者进行研究。出院后6个月内记录患者入院情况和初始铁蛋白水平。检查了铁蛋白水平与再入院原因之间是否存在关系。结果:177例(59.0例)患者在6个月内无症状,123例(41.0例)患者因各种症状入院。6例(2.0例)患者出院后6个月内复发。患者最常见的症状为呼吸短促28例(9.3),肌痛22例(7.3),胸痛15例(5.0),头痛10例(3.3),心悸10例(3.3)。研究发现,无症状者的铁蛋白水平较高,有症状者的铁蛋白水平较低。结论:确定指导新冠肺炎的症状、再入院率、死亡率及其预测因素对该病的识别、治疗和出院后随访具有重要意义。根据新冠肺炎恢复过程中的铁蛋白水平进行预测,还需要更多的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of hospital admissions in the first 6 months after the COVID-19 discharge
Aims: Although COVID-19 disease has many effects on patients after recovery, it is not known whether these effects are part of the recovery process or trigger other diseases. This study has aimed to investigate whether ferritin, which is used as an acute phase reactant to determine the severity and prognosis of the disease, has a role in determining the symptoms that occur after the disease. Methods: The study was conducted with 300 patients who were hospitalized with PCR positive and lung involvement. Patients' hospital admissions and initial ferritin levels were recorded within 6 months of discharge. It was examined whether there was a relationship between ferritin levels and the re-admission reasons. Results: 177(59.0) people had no symptoms during the six-month period and 123(41.0) patients were admitted to the hospital due to various symptoms. 6(2.0) of the patients became ex within six months after discharge. The most common symptoms in patients were 28(9.3) shortness of breath, 22(7.3) myalgia, 15(5.0) chest pain, 10(3.3) headache and 10(3.3) palpitations, respectively. Ferritin levels were found to be high in those with no symptoms and low in those with symptoms. Conclusion: Determining the symptoms, re-admissions, mortality rates and predictors that will guide Covid -19 is very important for the recognition, treatment and follow-up of this disease after discharge. More studies are needed to make a prediction according to ferritin levels in the process after recovery from Covid-19.
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