Objective: This study aims to evaluate the prevalence of long COVID infections and their influencing factors among primary HCWs after epidemic control policy adjustment in Jiangsu. Methods: A self-designed questionnaire was administered through on-site surveys among primary HCWs in five counties and districts within Jiangsu Province from July 4 to July 20, 2023. Results: The prevalence of long COVID among primary HCWs stood at 12.61% (95% confidence interval (CI) of 11.67%-13.55%). The most common long COVID symptoms were hypomnesia (4.90%), sleep difficulties (2.73%), fatigue (2.35%), disturbances in the reproductive system (1.93%), hair loss (1.85%), and myalgia/arthralgia (1.51%). Multivariate logistic regression revealed that older age groups (30-45 years (adjusted odds ratios (aOR) =1.93, 95%CI: 1.44-2.58), 45-60 years (aOR=2.82, 95%CI: 2.07-3.84)), females (aOR=1.26, 95%CI: 1.03-1.55), and higher work stress (high stress (aOR=1.52, 95%CI: 1.24-1.86), extremely high stress (aOR=1.37, 95%CI: 1.03-1.82)) were more prone to long COVID. Conversely, individuals with educational attainment below the bachelor’s degree (aOR=0.67, 95%CI: 0.55-0.82) and those who received four or more doses of the COVID-19 vaccine (aOR=0.55, 95%CI: 0.33-0.92) were at a reduced risk. Conclusion: To mitigate the incidence of long COVID, healthcare providers and authorities should implement effective measures, including optimizing work-rest schedules and actively advocating for vaccination.

Aims: We investigated the influence of KCNQ1, KCNE1, and KCNH2 gene polymorphisms along with clinical factors on escitalopram-induced QTc prolongation. Methods: A total of 713 patients prescribed escitalopram were identified and had at least one ECG recording in this retrospective study. 472 patients with two or more ECG data were divided into QTc prolongation (n=119) and non-prolongation (n=353) groups depending on the threshold change in QTc of 30ms above baseline value (∆QTc≥30ms). 45 patients in the QTc prolongation group and 90 patients in the QTc non-prolongation group were genotyped for 43 single nucleotide polymorphisms (SNPs) of KCNQ1, KCNE1, and KCNH2 genes. Results: Patients with QTc prolongation (∆QTc≥30ms) still got higher escitalopram dose (10.3mg) than patients without QTc prolongation (9.4mg), although no significant relationship was found between QTc interval and escitalopram dose among all patients. Patients who were older, or with coronary disease, or with hypertension were significantly at risk for QTc prolongation (∆QTc≥30ms). Concomitant antipsychotic treatment was associated with a longer QTc interval (7.469ms). Additionally, the distribution of KCNE1 rs1805127 C allele, KCNE1 rs4817668 CC genotype KCNH2 rs3807372 AG genotype differed significantly between the QTc prolongation and non-prolongation groups. Conclusion: Patients with QTc prolongation got higher escitalopram dose. Meanwhile, Greater age, coronary disease and hypertension are risk factors for QTc prolongation. Patients prescribed escitalopram would have longer QTc interval when prescribed concomitant antipsychotics at the same time. Moreover, polymorphism of KCNE1 and KCNH2 SNPs play a role in escitalopram-induced QTc prolongation.