Cardiovascular disease and cardiovascular outcomes in COVID ‐19

Recurrent viral RNA positivity and candidiasis findings in hospitalized patients with COVID-19

Background: The aim of this study was to evaluate reinfection and fungal infections among 785 patients with COVID-19 disease admitted to Baqiyatallah Hospital in Northeastern Iran after the onset of the COVID-19 epidemic. Materials & Methods: In this descriptive-analytic study (20 February-21 July 2020), reinfection and fungal infections among 785 patients were investigated using epidemiological questionnaire, clinical trials, Real-time PCR and CT scan (chest computed tomography) from the hospital HIS (hospital's information system) and collected samples. Results: Reinfection and one oral candidiasis were diagnosed in one 68-year-old man and one 47-year-old man 63 and 42 days after the initial infection, respectively. Conclusion: The research results showed that exposure to COVID-19 may not establish long-term protective immunity to all patients.

Expansion of telemedicine during COVID-19 at a VA specialty clinic

Background

COVID-19 rapidly accelerated the implementation of telemedicine in U.S. Department of Veterans Affairs (VA) specialty care clinics. This mixed-methods study was conducted at a VA medical center to understand the use of telemedicine, and the barriers and facilitators to its implementation, in cardiology outpatient clinics.

Methods

Quantitative analyses modeled monthly trends of telemedicine use over 24-months (March 2019–March 2021) with segmented logistic regression and adjusted for socio-demographic predictors of patient-level telemedicine use. Qualitative interviews were conducted (July–October 2020) with eight cardiology clinicians.

Results

At the onset of COVID-19, likelihood of telemedicine use was ∼12 times higher than it was pre-COVID-19 (p < 0.001). White (OR = 1.38, 95% CI:1.23–1.54), married (OR = 1.25, 95% CI:1.11–1.40), Veterans with other health insurance (OR = 1.19, 95% CI:1.06–1.35), were more likely to use telemedicine. Veterans with higher health risk factors were less likely (OR = 0.95, 95% CI:0.93–0.97). Facilitators to rapid expansion of telemedicine included prior telemedicine experience; provider trainings; and staff champions. In contrast, lack of technical support and scheduling grids for virtual visits and patient ability/preference served as barriers.

Conclusions

Findings suggest that once mutable barriers were addressed, the medical center was able to expand its telemedicine efforts during COVID-19. Beyond the pandemic, a hybrid of virtual and face-to-face care might be feasible and likely beneficial for healthcare providers and patients in specialty care.

Implications

The ability to rapidly transition from in-person to virtual visits can potentially assist with the continuity of care and management of chronic disease during infectious outbreaks and other major disasters that obstruct traditional care models.

Utility of conventional clinical risk scores in a low-risk COVID-19 cohort

BACKGROUND

Several specific risk scores for Coronavirus disease 2019 (COVID-19) involving clinical and biochemical parameters have been developed from higher-risk patients, in addition to validating well-established pneumonia risk scores. We compared multiple risk scores in predicting more severe disease in a cohort of young patients with few comorbid illnesses. Accurately predicting the progression of COVID-19 may guide triage and therapy.

METHODS

We retrospectively examined 554 hospitalised COVID-19 patients in Singapore. The CURB-65 score, Pneumonia Severity Index (PSI), ISARIC 4C prognostic score (4C), CHA2DS2-VASc score, COVID-GRAM Critical Illness risk score (COVID-GRAM), Veterans Health Administration COVID-19 index for COVID-19 Mortality (VACO), and the "rule-of-6" score were compared for three performance characteristics: the need for supplemental oxygen, intensive care admission and mechanical ventilation.

RESULTS

A majority of patients were young (≤ 40 years, n = 372, 67.1%). 57 (10.3%) developed pneumonia, with 16 (2.9% of study population) requiring supplemental oxygen. 19 patients (3.4%) required intensive care and 2 patients (0.5%) died. The clinical risk scores predicted patients who required supplemental oxygenation and intensive care well. Adding the presence of fever to the CHA2DS2-VASc score and 4C score improved the ability to predict patients who required supplemental oxygen (c-statistic 0.81, 95% CI 0.68-0.94; and 0.84, 95% CI 0.75-0.94 respectively).

CONCLUSION

Simple scores including well established pneumonia risk scores can help predict progression of COVID-19. Adding the presence of fever as a parameter to the CHA2DS2-VASc or the 4C score improved the performance of these scores in a young population with few comorbidities.

Proportion and mortality of Iranian diabetes mellitus, chronic kidney disease, hypertension and cardiovascular disease patients with COVID-19: a meta-analysis

BACKGROUND

Currently, the number of patients with SARS-COV-2 infection has increased rapidly in Iran, but the risk and mortality of SARS-COV-2 infection in Iranian patients with diabetes mellitus (DM), chronic kidney disease (CKD), hypertension and cardiovascular diseases (CVDs) still not clear. The aim of this meta-analysis was to estimate the proportion and mortality of SARS-COV-2 in these patients.

METHODS

A comprehensive literature search was carried out in PubMed, Web of Sciences, Cochrane Library, EMBASE, CNKI, SciELO, and other databases to identify all relevant studies published up to 10 January, 2020. The proportion and mortality in the patients were assessed by odd ratio (OR) and the corresponding 95 % confidence interval (95 % CI).

RESULTS

A total of ten case-series including 11,755 cases with SARS-COV-2 infection and 942 deaths were selected. Among them, there were total of 791 DM patients with 186 deaths, 225 CKD patients with 45 deaths, 790 hypertension cases with 86 deaths, and 471 CVDs cases with 60 deaths. Pooled data revealed that the proportion of SARS-COV-2 infection in the patients with hypertension, DM, CVDs and CKD were 21.1 %, 16.3 %, 14.0 % and 5.0 %, respectively. Moreover, the SARS-COV-2 infection were associated with an increased risk of mortality in DM (OR = 0.549, CI 95 % 0.448-0.671, p ≤ 0.001) and CKD (OR = 0.552, 95 % CI 0.367-0.829, p = 0.004) patients, but not hypertension and CVDs. There was no publication bias.

CONCLUSIONS

Our pooled data showed that the proportion of SARS-COV-2 infection was the highest in the Iranian patients with hypertension (21.1 %) followed by DM (16.3 %), CVDs (14.0 %) and CKD (5.0 %). Moreover, DM and CKD in patients with SARS-COV-2 infection were associated with a 0.549 and 0.552-fold increase in mortality, respectively. Clinicians in Iran should be aware of these findings, to identifying patients at higher risk and inform interventions to reduce the risk of death. Moreover, well-designed, large-scale and multicenter studies are needed to improve and validate our findings.