Telemedicine home CPAP titration and follow-up in the COVID-19 scenario.

Introduction: Continuous positive airway pressure (CPAP) titration was dramatically affected by the coronavirus disease 2019 (COVID-19) pandemic due to increased biological risk. This study aimed to compare successful CPAP adaptation and compliance with home telemedicine CPAP titration with the usual method based on face-to-face visits. Methodology: A prospective cohort using telemedicine home CPAP titration and follow-up during the COVID-19 pandemic (TC) was compared with a retrospective cohort receiving face-to-face pre-pandemic home titration (RC). The TC included a subgroup with a smartphone application (TC-APP). Successful CPAP adaptation and compliance at 1 month of follow-up were the main endpoints, while patient satisfaction and costs were secondary endpoints. Results: 210 consecutive patients were evaluated (80 RC and 130 TC). 36 patients were in the TC-APP subgroup. CPAP titration was successful in 90% in RC versus 95% in TC and 100% in TC-APP. No compliance differences between groups were found at 1  month (4.79 h·night-1 RC, 4.33  h·night-1 TC and 4.59 h·night-1 TC-APP). Mean±sd patient satisfaction out of 10 was 7.69±2.05 in RC versus 9.02±0.64 in TC (p<0.001). 64% of the TC-APP subgroup reported that their telemedicine strategy influenced an increase in CPAP use (p=0.011). CPAP adaptation with follow-up had an estimated direct staff cost per patient of EUR 19.61±8.61 in TC with no smartphone application used versus EUR 23.79±9.94 in TC-APP (p=0.048). Conclusions: Telemedicine in CPAP titration and early follow-up is equivalent to the usual care in terms of successful adaptation and compliance, while achieving greater patient satisfaction.

Patient-reported outcomes measures (PROMs) and patient-reported experience measures (PREMs) of COVID-19 telerehabilitation: Prospective pilot program.

Telemedicine is proving to be a useful tool in the telemonitoring of respiratory patients and telerehabilitation programs. The use of telemedicine has been proposed by the main medical societies because of the limited resources and the healthcare workers infection risk in the Coronavirus Disease 2019 (COVID-19) pandemic. The aim of this pilot program is to evaluate the feasibility of COVID-19 telerehabilitation program from the hospital to the home with clinical, functional and patient satisfaction outcomes. Rehabilitation was initiated in the hospital by a physiotherapist and complemented by "Estoi" (a mobile application), which was continued at home with telemonitoring and messaging with the medical team. Patients' habitual use of smartphones was not queried for inclusion. Sixteen patients were consecutively enrolled, 47% women with a mean age of 63 years old. 50% of patients completed ≥15 rehabilitation sessions. In total, 88% of patients referred that the mobile application incentive them to do more physical therapy, and 63% would choose telerehabilitation instead of center-based rehabilitation for new rehabilitation programs. Patient satisfaction (0-10) for the mobile application was 8.4 and 8.9 for the telerehabilitation program. Beginning telerehabilitation in the hospital could increase the efficacy and efficiency of physical therapy, which is safe for patients and healthcare workers. Following at home, this telerehabilitation program seems to encourage and empower patients who have reported high satisfaction. Further randomized studies with larger numbers of patients and multicenter studies are required to evaluate these results.

Characteristics of long COVID among older adults: a cross-sectional study.

OBJECTIVE: To describe long-COVID symptoms among older adults, and to assess risk factors for two common long-COVID symptoms: fatigue and dyspnea. METHODS: Multicenter prospective cohort study, conducted in Israel, Switzerland, Spain, and Italy. Included were individuals at least 30 days since COVID-19 diagnosis. We compared long-COVID symptoms between elderly individuals (age>65 years) and younger population (18-65 years); and conducted univariate and multivariable analyses for predictors of long-COVID fatigue and dyspnea. RESULTS: 2333 individuals were evaluated at an average of 5 months [146 days (95% CI 142-150)] following COVID-19 onset. Mean age was 51 and 20.5% were>65 years. Older adults were more likely to be symptomatic, with most common symptoms being fatigue (38%) and dyspnea (30%). They were more likely to complain of cough and arthralgia, and have abnormal chest imaging and pulmonary function tests. Independent risk factors for long-COVID fatigue and dyspnea included female gender, obesity, and closer proximity to COVID-19 diagnosis; older age was not an independent predictor. CONCLUSIONS: Older individuals with long-COVID, have different persisting symptoms, with more pronounced pulmonary impairment. Women and individuals with obesity are at risk. Further research is warranted to investigate the natural history of long-COVID among the elderly population and to assess possible interventions aimed at promoting rehabilitation and well-being.

Telemedicine home CPAP titration and follow-up in the COVID-19 scenario

Obstructive sleep apnea (OSA) is a highly prevalent chronic disease associated with important comorbidities such as traffic accidents, cardiovascular and metabolic diseases and mortality, among others [1]. Continuous positive airway pressure (CPAP), a first-line therapy in moderate-severe OSA [2], has been proven successful in improving daytime sleepiness, quality of life, reducing traffic accidents [3], improving hypertension and paroxistical atrial fibrillation [4, 5]. However, 47% of successfully titrated patients abandon treatment within three years [5, 6]. Thus, early OSA and CPAP education with close follow-up is mandatory to achieve satisfactory CPAP compliance [6, 7]. In that context, telemedicine and telemonitoring through remote monitoring CPAP have become promising strategies [8, 9]. Recently, smartphone applications [10] and wearables [11] have been added as new suggested tools for improving CPAP compliance.

Radio-Histological Correlation of Lung Features in Severe COVID-19 Through CT-Scan and Lung Ultrasound Evaluation.

Background: Patients with coronavirus disease 2019 (COVID-19) can develop severe bilateral pneumonia leading to respiratory failure. Lung histological samples were scarce due to the high risk of contamination during autopsies. We aimed to correlate histological COVID-19 features with radiological findings through lung ultrasound (LU)-guided postmortem core needle biopsies (CNBs) and computerized tomography (CT) scans. Methodology: We performed an observational prospective study, including 30 consecutive patients with severe COVID-19. The thorax was divided into 12 explorations regions to correlate LU and CT-scan features. Histological findings were also related to radiological features through CNBs. Results: Mean age was 62.56 ± 13.27 years old, with 96.7% male patients. Postmortem LU-guided CNBs were performed in 13 patients. Thirty patients were evaluated with both thoracic LU and chest CT scan, representing a total of 279 thoracic regions explored. The most frequent LU finding was B2-lines (49.1%). The most CT-scan finding was ground-glass opacity (GGO, 29%). Pathological CT-scan findings were commonly observed when B2-lines or C-lines were identified through LU (positive predictive value, PPV, 87.1%). Twenty-five postmortem echo-guided histological samples were obtained from 12 patients. Histological samples showed diffuse alveolar damage (DAD) (75%) and chronic interstitial inflammation (25%). The observed DAD was heterogeneous, showing multiple evolving patterns of damage, including exudative (33.3%), fibrotic (33.3%), and organizing (8.3%) phases. In those patients with acute or exudative pattern, two lesions were distinguished: classic hyaline membrane; fibrin "plug" in alveolar space (acute fibrinous organizing pneumonia, AFOP). C-profile was described in 33.3% and presented histological signs of DAD and lung fibrosis. The predominant findings were collagen deposition (50%) and AFOP (50%). B2-lines were identified in 66.7%; the presence of hyaline membrane was the predominant finding (37.5%), then organizing pneumonia (12.5%) and fibrosis (37.5%). No A-lines or B1-lines were observed in these patients. Conclusion: LU B2-lines and C-profile are predominantly identified in patients with severe COVID-19 with respiratory worsening, which correspond to different CT patterns and histological findings of DAD and lung fibrosis.

Effects of Early Physical Therapy and Follow-Up in Acute Severe Coronavirus Disease 2019 Pneumonia: A Retrospective Observational Study.

Background: Rehabilitation in subjects with severe coronavirus disease 2019 (COVID-19) pneumonia has been widely recommended. However, data regarding the starting time of rehabilitation, subjects and healthcare workers' safety, as well as rehabilitation program features are limited. We aimed to assess the safety and characterize the effect of early and non-early physiotherapy on severe COVID-19 pneumonia subjects. Methods: A retrospective cohort study, including a consecutive sample of surviving subjects admitted to an acute care hospital due to severe COVID-19 pneumonia from March 13th to May 15th of 2020, is made. Subjects were separated into three groups: non-physical therapy, early physiotherapy (onset <7 days of admission), and non-early physiotherapy. Subject and therapist safety and length of hospital stay were the main evaluated outcomes. Results: A total of 159 subjects were included (72% men; median age 62 years). Rehabilitation was performed on 108 subjects (32 early and 76 non-early physiotherapies). The length of hospital stay was 19 [interquartile range (IQR) 36.25] and 34 days (IQR 27.25) (p = 0.001) for early and non-early physiotherapy groups, respectively. No physiotherapist was infected and no subject adverse effect was identified. Multivariate analysis of subjects receiving physiotherapy during admission identified obesity [odds ratio (OR) 3.21; p-value 0.028], invasive mechanical ventilation (OR 6.25; p-value <0.001), and non-early physiotherapy (OR 3.54; p-value 0.017) as independent factors associated with a higher risk of prolonged hospital stay. Survivors' follow-up after hospital discharge at 8 weeks was completed by 54% of subjects. Conclusion: Rehabilitation in acute severe COVID-19 pneumonia is safe for subjects and healthcare workers and could reduce the length of hospitalization stay, especially in those that may start early.

Patterns of Long COVID Symptoms: A Multi-Center Cross Sectional Study.

BACKGROUND: Long COVID has become a burden on healthcare systems worldwide. Research into the etiology and risk factors has been impeded by observing all diverse manifestations as part of a single entity. We aimed to determine patterns of symptoms in convalescing COVID-19 patients. METHODS: Symptomatic patients were recruited from four countries. Data were collected regarding demographics, comorbidities, acute disease and persistent symptoms. Factor analysis was performed to elucidate symptom patterns. Associations of the patterns with patients' characteristics, features of acute disease and effect on daily life were sought. RESULTS: We included 1027 symptomatic post-COVID individuals in the analysis. The majority of participants were graded as having a non-severe acute COVID-19 (N = 763, 74.3%). We identified six patterns of symptoms: cognitive, pain-syndrome, pulmonary, cardiac, anosmia-dysgeusia and headache. The cognitive pattern was the major symptoms pattern, explaining 26.2% of the variance; the other patterns each explained 6.5-9.5% of the variance. The cognitive pattern was higher in patients who were outpatients during the acute disease. The pain-syndrome pattern was associated with acute disease severity, higher in women and increased with age. The pulmonary pattern was associated with prior lung disease and severe acute disease. Only two of the patterns (cognitive and cardiac) were associated with failure to return to pre-COVID occupational and physical activity status. CONCLUSION: Long COVID diverse symptoms can be grouped into six unique patterns. Using these patterns in future research may improve our understanding of pathophysiology and risk factors of persistent COVID, provide homogenous terminology for clinical research, and direct therapeutic interventions.