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RESUMEN Introducción y objetivos: Durante el confinamiento por la pandemia provocada por el coronavirus del síndrome respiratorio agudo grave de tipo 2 (SARS-CoV-2) se observó un descenso en los ingresos por síndrome coronario agudo (SCA). El objetivo de este estudio fue evaluar el impacto del confinamiento en la incidencia, la morbimortalidad y el manejo del SCA. Métodos: Estudio retrospectivo y multicéntrico, en el que se incluyeron los pacientes ingresados por SCA entre el 14 de febrero y el 24 de junio de 2020. Se excluyeron los pacientes con infarto agudo de miocardio y coronarias sin lesiones significativas. Se establecieron 3 grupos en función del periodo de ingreso: a) 1 mes antes del confinamiento; b) durante el confinamiento; y c) 1 mes después del confinamiento. Se evaluaron las diferencias en la mortalidad entre los 3 grupos, así como las diferencias temporales entre el inicio de los síntomas y el primer contacto médico. Resultados: Se incluyeron 634 pacientes (grupo A: 205; grupo B: 303; grupo C: 126). Se observó un descenso del 41% en los ingresos por SCA durante el primer mes del confinamiento respecto al mes previo, así como un retraso en el diagnóstico durante este mismo periodo: grupo A, 66 minutos (45-180); grupo B, 120 minutos (60-240); grupo C, 120 minutos (60-240) (p = 0,007). Sin embargo, no hubo mayor mortalidad durante el confinamiento (riesgo relativo, 1.26; intervalo de confianza del 95%, 0.53-2.97; p = 0,60). Conclusiones: Durante el confinamiento se produjo un marcado descenso en los ingresos por SCA y, a pesar de que se dilató el tiempo desde el inicio de los síntomas hasta el primer contacto médico en este periodo en los pacientes con SCA con elevación del segmento ST, la mortalidad fue similar en los 3 grupos estudiados.

ABSTRACT Introduction and objectives: During the lockdown due to the pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a decrease in the number of admissions due to acute coronary syndrome (ACS) was observed. The objective of our study was to evaluate the impact lockdown had on the incidence, morbidity and mortality, and management of ACS. Methods: A retrospective and multicenter study was conducted including patients admitted due to ACS from February 14 through June 24, 2020. Patients with acute myocardial infarction and coronary arteries without significant lesions were excluded. The following groups were established based on the period of admission: a) 1 month before lockdown; b) during lockdown; and c) 1 month after lockdown. The differences in mortality seen among the 3 groups were evaluated, as well as the temporal differences reported between symptom onset and the first medical contact (FMC). Results: a total of 634 patients were included (group a, 205; group b, 303, and group c, 126). A 41% decrease in the number of admissions due to ACS was observed during the first month of lockdown compared to the previous month, as well as diagnostic delay during this same period (group a, 66 minutes (45-180), group b, 120 minutes (60-240), and group c, 120 minutes (60-240), P = .007). However, a higher mortality rate during confinement was not reported (RR, 1.26; 95%CI, 0.53-2.97; P = .60). Conclusions: During lockdown, a remarkable decrease in the number of admissions due to ACS was observed, and although there was an increase in the time elapsed from symptom onset to the FCM in this period in patients with STEMI, the mortality rate was similar in the 3 groups studied.

Background: QTc prolongation is an adverse effect of COVID-19 therapies. The use of a handheld device in this scenario has not been addressed. Objectives: To evaluate the feasibility of QTc monitoring with a smart device in COVID-19 patients receiving QTc-interfering therapies. Methods: Prospective study of consecutive COVID-19 patients treated with hydroxychloroquine ± azithromycin ± lopinavir-ritonavir. ECG monitoring was performed with 12-lead ECG or with KardiaMobile-6L. Both registries were also sequentially obtained in a cohort of healthy patients. We evaluated differences in QTc in COVID-19 patients between three different monitoring strategies: 12-lead ECG at baseline and follow-up (A), 12-lead ECG at baseline and follow-up with the smart device (B), and fully monitored with handheld 6-lead ECG (group C). Time needed to obtain an ECG registry was also documented. Results: One hundred and eighty-two COVID-19 patients were included (A: 119(65.4%); B: 50(27.5%); C: 13(7.1%). QTc peak during hospitalization did significantly increase in all groups. No differences were observed between the three monitoring strategies in QTc prolongation (p = 0.864). In the control group, all but one ECG registry with the smart device allowed QTc measurement and mean QTc did not differ between both techniques (p = 0.612), displaying a moderate reliability (ICC 0.56 [0.19–0.76]). Time of ECG registry was significantly longer for the 12-lead ECG than for handheld device in both cohorts (p < 0.001). Conclusion: QTc monitoring with KardiaMobile-6L in COVID-19 patients was feasible. Time of ECG registration was significantly lower with the smart device, which may offer an important advantage for prevention of virus dissemination among healthcare providers.