Herman Avner Cohen MD, Maya Gerstein MD, Vered Shkalim Zemer MD, Sophia Heiman MD, Yael Richenberg MD, Eyal Jacobson MD, and Oren Berkowitz PhD PA-C
Background: On 18 March 2020, the Israeli Health Ministry issued lockdown orders to mitigate the spread of coronavirus disease 2019 (COVID-19).
Objectives: To assess the association of lockdown orders on telemedicine practice and the effect of social distancing on infectious diseases in a primary care community pediatric clinic as well as the rate of referrals to emergency departments (ED) and trends of hospitalization.
Methods: Investigators performed a retrospective secondary data analysis that screened for visits in a large pediatric center from 1 January to 31 May 2020. Total visits were compared from January to December 2020 during the same period in 2019. Visits were coded during the first lockdown as being via telemedicine or in-person, and whether they resulted in ED referral or hospitalization. Month-to-month comparisons were performed as well as percent change from the previous year.
Results: There was a sharp decline of in-person visits (24%) and an increase in telemedicine consultations (76%) during the first lockdown (p < 0.001). When the lockdown restrictions were eased, there was a rebound of 50% in-person visits (p < 0.05). There was a profound decrease of visits for common infectious diseases during the lockdown period. Substantial decreases were noted for overall visits, ED referrals, and hospitalizations in 2020 compared to 2019.
Conclusions: COVID-19 had a major impact on primary care clinics, resulting in fewer patient-doctor encounters, fewer overall visits, fewer ED referrals, and fewer hospitalizations
Moria Mahanaimy MD MPH, Uriah Finkel MA, Noam Barda MD PhD, Eytan Roitman MD, Ran Balicer MD PhD MPH, Adi Berliner Senderey MSc MPH, and Becca Feldman ScD
Background: The association between use of renin-angiotensin-aldosterone (RAAS) inhibitors and both SARS-CoV-2 infection and the development of severe COVID-19 has been presented in the recent medical literature with inconsistent results.
Objectives: To assess the association between RAAS inhibitor use and two outcomes: infection with SARS-CoV-2 (Model 1) and severe COVID-19 among those infected (Model 2).
Methods: We accessed used electronic health records of individuals from Israel who were receiving anti-hypertensive medications for this retrospective study. For Model 1 we used a case-control design. For Model 2 we used a cohort design. In both models, inverse probability weighting adjusted for identified confounders as part of doubly robust outcome regression.
Results: We tested 38,554 individuals for SARS-CoV-2 who had hypertension and were being treated with medication; 691 had a positive test result. Among those with a positive test, 119 developed severe illness. There was no association between RAAS inhibitor use and a positive test. Use of RAAS inhibitors was associated with a decreased risk for severe COVID-19 (adjusted odds ratio [OR] 0.47, 95% confidence interval [95%CI] 0.29–0.77) compared with users of non-RAAS anti-hypertensive medication. The association remained significant when use of angiotensin-converting-enzyme inhibitors (adjusted OR 0.46, 95%CI 0.27–0.77) and angiotensin II receptor blockers (adjusted OR 0.39, 95%CI 0.16–0.95) were analyzed separately.
Conclusions: Among individuals with hypertension using RAAS inhibitors, we found a lower risk of severe disease compared to those using non-RAAS anti-hypertensive medications. This finding suggests that RAAS inhibitors may have a protective effect on COVID-19 severity among individuals with medically treated hypertension.
Nomy Levin-Iaina MD, Avital Angel-Korman MD, Adi Leiba MD MHA, Esther Peres MD, Gabriel Bryk PhD, Vladimir Rapoport MD, Zeev Katzir MD, Yoram Yagil MD, and Tal Brosh-Nissimov MD MHA
Background: The reduced immune response of maintenance hemodialysis patients to coronavirus disease 2019 (COVID-19) vaccines is a major concern.
Objectives: To analyze the late (6 months after full vaccination) antibody response and compare it to early post-vaccination titer.
Methods: We conducted a multicenter prospective study of 13 hemodialysis units in Israel.
Results: We demonstrated that the low titers observed among ESRD patients 2–3 months after vaccination with the Comirnaty vaccine (median 63.8 AU/ml) declined to critically lower values 6 months after full vaccination. (Mediananti S antibodies, 31 AU/ml). Seropositivity significantly declined among hemodialysis patients from 89% to 74% (P < 0.0001), although it did not significantly change among controls.
Conclusions: We recommend all patients on hemodialysis receive a booster COVID-19 vaccine 6 months after the second dose.
Moshe Ashkenazi MD MBA, Eyal Zimlichman MD, Noa Zamstein PhD, Galia Rahav MD, Reut Kassif Lerner MD, Yael Haviv MD, and Itai M. Pessach MD PhD MPH
Background: The coronavirus disease 2019 (COVID-19) pandemic resulted in repeated surges of patients, sometimes challenging triage protocols and appropriate control of patient flow. Available models, such as the National Early Warning Score (NEWS), have shown significant limitations. Still, they are used by some centers to triage COVID-19 patients due to the lack of better tools.
Objectives: To establish a practical and automated triage tool based on readily available clinical data to rapidly determine a distinction between patients who are prone to respiratory failure.
Methods: The electronic medical records of COVID-19 patients admitted to the Sheba Medical Center March–April 2020 were analyzed. Population data extraction and exploration were conducted using a MDClone (Israel) big data platform. Patients were divided into three groups: non-intubated, intubated within 24 hours, and intubated after 24 hours. The NEWS and our model where applied to all three groups and a best fit prediction model for the prediction of respiratory failure was established.
Results: The cohort included 385 patients, 42 of whom were eventually intubated, 15 within 24 hours or less. The NEWS score was significantly lower for the non-intubated patients compared to the two other groups. Our improved model, which included NEWS elements combined with other clinical data elements, showed significantly better performance. The model's receiver operating characteristic curve had area under curve (AUC) of 0.92 with of sensitivity 0.81, specificity 0.89, and negative predictive value (NPV) 98.4% compared to AUC of 0.63 with NEWS. As patients deteriorate and require further support with supplemental O2, the need for re-triage emerges. Our model was able to identify those patients on supplementary O2 prone to respiratory failure with an AUC of 0.86 sensitivity 0.95, and specificity 0.7 NPV 98.9%, whereas NEWS had an AUC of 0.76. For both groups positive predictive value was approximately 35%.
Conclusions: Our model, based on readily available and simple clinical parameters, showed an excellent ability to predict negative outcome among patients with COVID-19 and therefore might be used as an initial screening tool for patient triage in emergency departments and other COVID-19 specific areas of the hospital.
Amir Bar-Shai MD, Ayal Romem MD MHA, and Anna Breslavsky MD
Nomy Dikman PhD, Rola Khamisy-Farah MD, Raymond Farah MD, Jumana Essa-Hadad PhD, Nataly Lipavski, and Izhar Ben Shlomo MD