A Simple, Home-Therapy Algorithm to Prevent Hospitalization for COVID-19 Patients:A Retrospective Observational Matched-Cohort Study
Authors: Suter Fredy , Consolaro Elena , Pedroni Stefania , Moroni Chiara , Pastò Elena , Paganini Maria Vittoria , Pravettoni Grazia , Cantarelli Umberto , Rubis Nadia , Perico Norberto , Perna Annalisa , Peracchi Tobia , Ruggenenti Piero , Remuzzi Giuseppe 
Published: March 2021

Summary

Background

Effective home treatment algorithms implemented based on a pathophysiologic and pharmacologic rationale to accelerate recovery and prevent hospitalisation of patients with early coronavirus disease 2019 (COVID-19) would have major implications for patients and health system.

Methods

This academic, matched-cohort study compared outcomes of 90 consecutive consenting patients with mild COVID-19 treated at home by their family physicians between October 2020 and January 2021, according to the proposed recommendation algorithm, with outcomes for 90 age-, sex-, and comorbidities-matched patients who received other therapeutic regimens. Primary outcome was time to resolution of major symptoms. Secondary outcomes included prevention of hospitalisation. Analyses were by intention-to-treat.

Findings

All patients achieved complete remission. The median [IQR] time to resolution of major symptoms was 18 [14-23] days in the ‘recommended’ schedule cohort and 14 [7-30] days in the matched ‘control’ cohort (p=0·033). Other symptoms persisted in a lower percentage of patients in the ‘recommended’ than in the ‘control’ cohort (23·3% versus 73·3%, respectively, p<0·0001) and for a shorter period (p=0·0107). Two patients in the ‘recommended’ cohort were hospitalised compared to 13 (14·4%) controls (Log-rank test, p=0·0038). The prevention algorithm reduced the days and cumulative costs of hospitalisation by >90% (from 481 to 44 days and from €296.000 to €28.000, respectively. 1.2 patients had to be treated to prevent one hospitalisation event.

Interpretation

Implementation of an early home treatment algorithm failed to accelerate recovery from major symptoms of COVID 19, but almost eliminated the risk of hospitalisation and related treatment costs.

Research inContext

Evidence before this study

We searched PubMed and the Cochrane Library for peer-reviewed articles published in any language up to March 19, 2021, using the search terms “2019-nCoV” or “SARS-CoV-2” or “COVID-19” and “early” or “outpatient” or “treatment” or “home”. Our search did not identify any randomised clinical trials or observational studies that assessed the effectiveness of treatment regimens targeting early, mild symptoms of COVID-19 in the outpatient setting.

Added value of this study

In this fully academic, observational matched-cohort study, we found that early home treatment of 90 consecutive patients with mild COVID-19 by their family physicians according to the proposed recommendation algorithm, designed based on a pathophysiologic and pharmacologic rationale, required few more days to achieve resolution of major symptoms including fever, dyspnea, musculoskeletal pain, headache and cough compared to 90 age-, sex-, and comorbidities-matched patients who received other therapeutic regimens (primary outcome). Nonetheless, it is noteworthy that the home treatment of COVID-19 patients according to the proposed recommendation algorithm significantly reduced the risk of hospitalization compared to the other treatments in the ‘control’ cohort. Days of hospitalization and related treatment costs were reduced by over 90% in the ‘recommended’ cohort as compared to ‘control’ cohort. Just 1.2 patients needed to be treated according to the recommendation algorithm to prevent one hospitalization event. We also found that symptoms such as anosmia and ageusia/dysgeusia were less persistent and lasted a shorter time in the ‘recommendation’ than in the ‘control’ cohort.

Implications of the available evidence

The finding that the implementation of the proposed simple treatment algorithm during the initial, mild phase of COVID-19 has the potential to prevent disease progression, potentially limiting the need for hospital admission, may have major implications for patients and health care providers. Indeed, preventing hospitalisations due to the worsening of COVID-19 will not only save lives, but will also contribute to remarkably reduced treatment costs and to streamlining health care systems that are overburdened by the effects of the pandemic. However, time to hospitalization was a secondary outcome of the study and the possibility of a casual finding cannot be definitely excluded. Thus, the observed reduction in patients hospitalizations should be considered as an hypothesis generating finding that could provide a robust background for a prospective trial primarily aimed to test treatment effect on this outcome.