Comparison between Suspected and Confirmed COVID-19 Respiratory Patients: What Is beyond the PCR Test.

COVID-19 modified the healthcare system. Nasal-pharyngeal swab (NPS), with real-time reverse transcriptase-polymerase (PCR), is the gold standard for the diagnosis; however, there are difficulties related to the procedure that may postpone it. The study aims to evaluate whether other elements than the PCR-NPS are reliable and confirm the diagnosis of COVID-19. This is a cross-sectional study on data from the Lung Unit of Pavia (confirmed) and at the Emergency Unit of Palermo (suspected). COVID-19 was confirmed by positive NPS, suspected tested negative. We compared clinical, laboratory and radiological variables and performed Logistic regression to estimate which variables increased the risk of COVID-19. The derived ROC-AUCcurve, assessed the accuracy of the model to distinguish between COVID-19 suspected and confirmed. We selected 50 confirmed and 103 suspected cases. High Reactive C-Protein (OR: 1.02; CI95%: 0.11-1.02), suggestive CT-images (OR: 11.43; CI95%: 3.01-43.3), dyspnea (OR: 10.48; CI95%: 2.08-52.7) and respiratory failure (OR: 5.84; CI95%: 1.73-19.75) increased the risk of COVID-19, whereas pleural effusion decreased the risk (OR: 0.15; CI95%: 0.04-0.63). ROC confirmed the discriminative role of these variables between suspected and confirmed COVID-19 (AUC 0.91). Clinical, laboratory and imaging features predict the diagnosis of COVID-19, independently from the NPS result.

Comparison between Suspected and Confirmed COVID-19 Respiratory Patients: What Is beyond the PCR Test

COVID-19 modified the healthcare system. Nasal-pharyngeal swab (NPS), with real-time reverse transcriptase-polymerase (PCR), is the gold standard for the diagnosis;however, there are difficulties related to the procedure that may postpone it. The study aims to evaluate whether other elements than the PCR-NPS are reliable and confirm the diagnosis of COVID-19. This is a cross-sectional study on data from the Lung Unit of Pavia (confirmed) and at the Emergency Unit of Palermo (suspected). COVID-19 was confirmed by positive NPS, suspected tested negative. We compared clinical, laboratory and radiological variables and performed Logistic regression to estimate which variables increased the risk of COVID-19. The derived ROC-AUCcurve, assessed the accuracy of the model to distinguish between COVID-19 suspected and confirmed. We selected 50 confirmed and 103 suspected cases. High Reactive C-Protein (OR: 1.02;CI95%: 0.11–1.02), suggestive CT-images (OR: 11.43;CI95%: 3.01–43.3), dyspnea (OR: 10.48;CI95%: 2.08–52.7) and respiratory failure (OR: 5.84;CI95%: 1.73–19.75) increased the risk of COVID-19, whereas pleural effusion decreased the risk (OR: 0.15;CI95%: 0.04–0.63). ROC confirmed the discriminative role of these variables between suspected and confirmed COVID-19 (AUC 0.91). Clinical, laboratory and imaging features predict the diagnosis of COVID-19, independently from the NPS result.

Transient asymptomatic bradycardia and Remdesivir in COVID-19 patients.

BACKGROUND: COVID-19 is an infectious disease caused by a coronavirus in humans, namely SARS-CoV-2, which has quickly become a global pandemic. The infection is responsible for a severe form of pneumonia, which may lead to lung failure and death. Among the therapeutic strategies, the antiviral agent Remdesivir has become one of the most used drugs. The current literature reports a causal correlation between Remdesivir administration and the incidence of cardiovascular effects. We aimed at further investigating this relationship, by exploring the association between the use of Remdesivir and the onset of bradyarrhythmic disorders. METHODS: We reviewed medical records, blood exams and chest imaging of 85 patients with COVID-19 pneumonia (M/F: 57/28, age 61±12 years) admitted between September 2020 and May 2021 to the Division of Respiratory Diseases in Palermo, Italy. RESULTS: We found a significant correlation between treatment with Remdesivir and the occurrence of bradycardia, lasting for at least 3 days, which returned to normal values after the discontinuation of the drug. A significant reduction in heart rate (HR) was observed in the days following Remdesivir administration (L. Ratio 47.4, p<0.0001) in 24 patients (HR on the first day of observation: 75±14 bpm; at discharge: 72±14 bpm). Cardiac events occurred more frequently in subjects with extensive pulmonary involvement (greater than 50% of the total parenchyma, as assessed by chest CT). CONCLUSIONS: We suggest to carefully monitor the administration of the drug in patients with risk factors for arrhythmic or cardiovascular events.

Telemedicine Is an Effective Tool to Monitor Disease Activity in IBD Patients in the COVID-19 Era: A Single Centre Experience Based on Objective Data

Background: The COVID-19 outbreak has led IBD clinics to adopt a remote monitoring approach in order to guarantee an adequate follow-up of patients with inflammatory bowel disease (IBD) and ensure the rules of social distancing. Aim: The aim of the study was to perform a survey on IBD patients who underwent remote monitoring in our tertiary referral center, to assess adherence, patients' perceptions and satisfaction, and finally their opinions for future monitoring. Furthermore, we evaluated changes in disease activity and Quality of Life (QoL) using validated questionnaires. Methods: Consecutive patients with IBD scheduled for follow-up visits were switched to remote monitoring through e-mail from March 2020 to February 2021. Patients were asked to complete a questionnaire focusing on the following elements of the intervention: (1) self-assessment questions, (2) action plans, and (3) educational messages. Results: Four hundred and twenty four Caucasian patients completed the survey. 233 (55.1%) were male, 220 (52.0%) had Crohn's Disease (CD). Median baseline Mayo Score and Harvey Bradshaw Index were 3 and 4, respectively. 9 (2.1%) patients were referred to the emergency department because of disease flares. 410 (96.9%) patients were satisfied with telemedicine, and 320 (76.5%) patients reported that they would maintain this approach also after COVID-19 pandemic. Overall, on univariate logistic regression analysis, none of the variables were related to patients' satisfaction or to an improved QoL. The presence of ulcerative colitis was associated with the need for treatment change. Conclusions: Our results suggest that a telemedicine approach is well accepted by patients with IBD and could represent an effective tool in monitoring disease activity. Further controlled studies are warranted to properly assess if telemedicine can replace face-to-face consultations in IBD.

Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical use.

BACKGROUNDS: Validated tools for predicting individual in-hospital mortality of COVID-19 are lacking. We aimed to develop and to validate a simple clinical prediction rule for early identification of in-hospital mortality of patients with COVID-19. METHODS AND FINDINGS: We enrolled 2191 consecutive hospitalized patients with COVID-19 from three Italian dedicated units (derivation cohort: 1810 consecutive patients from Bergamo and Pavia units; validation cohort: 381 consecutive patients from Rome unit). The outcome was in-hospital mortality. Fine and Gray competing risks multivariate model (with discharge as a competing event) was used to develop a prediction rule for in-hospital mortality. Discrimination and calibration were assessed by the area under the receiver operating characteristic curve (AUC) and by Brier score in both the derivation and validation cohorts. Seven variables were independent risk factors for in-hospital mortality: age (Hazard Ratio [HR] 1.08, 95% Confidence Interval [CI] 1.07-1.09), male sex (HR 1.62, 95%CI 1.30-2.00), duration of symptoms before hospital admission <10 days (HR 1.72, 95%CI 1.39-2.12), diabetes (HR 1.21, 95%CI 1.02-1.45), coronary heart disease (HR 1.40 95% CI 1.09-1.80), chronic liver disease (HR 1.78, 95%CI 1.16-2.72), and lactate dehydrogenase levels at admission (HR 1.0003, 95%CI 1.0002-1.0005). The AUC was 0.822 (95%CI 0.722-0.922) in the derivation cohort and 0.820 (95%CI 0.724-0.920) in the validation cohort with good calibration. The prediction rule is freely available as a web-app (COVID-CALC: https://sites.google.com/community.unipa.it/covid-19riskpredictions/c19-rp). CONCLUSIONS: A validated simple clinical prediction rule can promptly and accurately assess the risk for in-hospital mortality, improving triage and the management of patients with COVID-19.

Competing-risk analysis of coronavirus disease 2019 in-hospital mortality in a Northern Italian centre from SMAtteo COvid19 REgistry (SMACORE).

An accurate prediction of the clinical outcomes of European patients requiring hospitalisation for Coronavirus Disease 2019 (COVID-19) is lacking. The aim of the study is to identify predictors of in-hospital mortality and discharge in a cohort of Lombardy patients with COVID-19. All consecutive hospitalised patients from February 21st to March 30th, 2020, with confirmed COVID-19 from the IRCCS Policlinico San Matteo, Pavia, Lombardy, Italy, were included. In-hospital mortality and discharge were evaluated by competing risk analysis. The Fine and Gray model was fitted in order to estimate the effect of covariates on the cumulative incidence functions (CIFs) for in-hospital mortality and discharge. 426 adult patients [median age 68 (IQR 56 to 77 years)] were admitted with confirmed COVID-19 over a 5-week period; 292 (69%) were male. By 21 April 2020, 141 (33%) of these patients had died, 239 (56%) patients had been discharged and 46 (11%) were still hospitalised. Among these 46 patients, updated as of 30 May, 2020, 5 (10.9%) had died, 8 (17.4%) were still in ICU, 12 (26.1%) were transferred to lower intensity care units and 21 (45.7%) were discharged. Regression on the CIFs for in-hospital mortality showed that older age, male sex, number of comorbidities and hospital admission after March 4th were independent risk factors associated with in-hospital mortality. Older age, male sex and number of comorbidities definitively predicted in-hospital mortality in hospitalised patients with COVID-19.

Management of suspected COVID-19 patients in a low prevalence region.

The spread of the SARS-CoV-2 infection among population has imposed a re-organization of healthcare services, aiming at stratifying patients and dedicating specific areas where patients with suspected COVID-related respiratory disease could receive the necessary health care assistance while waiting for the confirmation of the diagnosis of COVID-19 disease. In this scenario, the pathway defined as a "grey zone" is strongly advocated. We describe the application of rules and pathways in a regional context with low diffusion of the infection among the general population in the attempt to provide the best care to respiratory patients with suspected COVID-19. To date, this process has avoided the worst-case scenario of intra-hospital epidemic outbreak.