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预测患有自身免疫性风湿病患者因 COVID-19 住院的因素:一项社区队列随访研究结果。

Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up.

机构信息

Grupo Peruano de Estudio de Enfermedades Autoinmunes Sistémicas, Universidad Científica del Sur, Lima, Peru.

Rheumatology Department, Hospital Nacional Guillermo Almenara Irigoyen EsSalud, Lima, Peru.

出版信息

Clin Rheumatol. 2021 Nov;40(11):4725-4734. doi: 10.1007/s10067-021-05833-1. Epub 2021 Jun 30.

Abstract

OBJECTIVE

The identification of risk factors for COVID-19 adverse course in autoimmune rheumatic diseases (ARDs) is of the utmost importance when approaching patient management; however, data are scarce in relation to the Latin American population. The objective of this study was to determine predictors of hospitalization for COVID-19 patients from an ARD community cohort.

METHODS

A real setting longitudinal study (March to November 2020) in an ARD community cohort was carried out. Potential predictors of hospitalization for COVID-19 examined included (1) sociodemographic variables (age, gender, education, tobacco use, socioeconomic status, and co-inhabitants), (2) comorbidities, (3) time to COVID-19 diagnosis, and (4) ARD's features: clinical (disease type, disease duration, activity), treatment [corticosteroids use/doses, use of synthetic DMARDs (cDMARDs, tsDMARDs, and bDMARDs)], treatment schedule and non-adherence, and the Multidimensional Health Assessment Questionnaire (MDHAQ). Univariable and multivariable regression analysis were conducted; OR and 95% CI (p < 0.05) were determined.

RESULTS

One thousand and one hundred forty-eight patients with ARDs were included; 154 had COVID-19; of these 139 (90.3%) were women, aged 52.5 (13.7) years; 33.1% had hypertension and 61.0% an affected organ by ARD. Infection was detected 8.4 (10.1) days after symptoms started; there were 33 hospitalized patients (rate 21.4%). Predictors of hospitalization by multivariable analysis were age (OR: 1.06; CI: 1.01-1.10; p: 0.01), comorbidities: hypertension (OR: 3.95; 95% CI: 1.40-10.95, p: 0.01) and neoplasm (OR: 9.0; 95% CI: 1.6-52.3; p: 0.01), number of organs involved by ARD (OR: 2.26; 95% CI: 1.16-4.41; p: 0.02), and infection diagnosis delay (OR: 1.36; 95% CI: 1.03-1.80; p: 0.01).

CONCLUSIONS

In our ARD patients with COVID-19, older age, comorbidities (neoplasm and hypertension), and a delay in COVID-19 diagnosis were predictors of hospitalization. The only ARD-associated predictor feature was the number of organs involved. Key Points • Patients with ARD and COVID-19 have an adverse course in comparison to the general population. • Previous predictors of COVID-19 hospitalization, including known risk factors (such as older age and comorbidities) and systemic manifestations, should be taken into account in the management of these patients. • Delayed diagnosis of COVID-19 impacts negatively on prognosis. • Availability of diagnostic tests is of utmost importance.

摘要

目的

当涉及到患者管理时,确定 COVID-19 不良病程在自身免疫性风湿病(ARD)患者中的风险因素至关重要;然而,与拉丁美洲人群相关的数据却很少。本研究的目的是确定自身免疫性风湿病社区队列中 COVID-19 患者住院的预测因素。

方法

对自身免疫性风湿病社区队列进行了一项真实环境的纵向研究(2020 年 3 月至 11 月)。检查的 COVID-19 住院预测因素包括:(1)社会人口统计学变量(年龄、性别、教育程度、吸烟状况、社会经济地位和共同居住者),(2)合并症,(3)COVID-19 诊断时间,以及(4)ARD 的特征:临床(疾病类型、疾病持续时间、活动度)、治疗[皮质类固醇的使用/剂量、使用合成 DMARDs(cDMARDs、tsDMARDs 和 bDMARDs)]、治疗方案和不依从性,以及多维健康评估问卷(MDHAQ)。进行了单变量和多变量回归分析;确定了比值比(OR)和 95%置信区间(CI)(p<0.05)。

结果

纳入了 1148 名患有 ARD 的患者;154 名患有 COVID-19;其中 139 名(90.3%)为女性,年龄为 52.5(13.7)岁;33.1%患有高血压,61.0%的患者有器官受累。感染是在症状开始后 8.4(10.1)天发现的;有 33 名住院患者(发病率 21.4%)。多变量分析的住院预测因素包括年龄(OR:1.06;95%CI:1.01-1.10;p:0.01)、合并症:高血压(OR:3.95;95%CI:1.40-10.95,p:0.01)和肿瘤(OR:9.0;95%CI:1.6-52.3;p:0.01)、ARD 受累器官数量(OR:2.26;95%CI:1.16-4.41;p:0.02)和感染诊断延迟(OR:1.36;95%CI:1.03-1.80;p:0.01)。

结论

在我们患有 COVID-19 的 ARD 患者中,年龄较大、合并症(肿瘤和高血压)以及 COVID-19 诊断延迟是住院的预测因素。唯一与 ARD 相关的预测特征是受累器官的数量。关键点• 与一般人群相比,患有 ARD 和 COVID-19 的患者病程不良。• 先前 COVID-19 住院的预测因素,包括已知的危险因素(如年龄较大和合并症)以及全身表现,应在这些患者的管理中加以考虑。• COVID-19 的诊断延迟对预后有负面影响。• 诊断检测的可用性至关重要。

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