ABSTRACT
OBJECTIVES: The MIP (maximum inspiratory pressure) and MEP (maximum expiratory pressure) are sensitive indicators of respiratory muscle function. The aim of the study was to assess the function of respiratory muscles in patients after COVID-19 infection, before and after hospitalisation at the Pulmonary Rehabilitation Ward. MATERIALS AND METHODS: The study was conducted on a group of 19 people with laboratory-confirmed COVID-19 infection, who, in the period from 1 February to 31 May 2021, were hospitalised at the Independent Public Pulmonary Hospital and underwent respiratory rehabilitation in hospital conditions. A statistical analysis was performed using the STATISTICA package, ver. 10. A respiratory pressure meter (RP Check) was used to measure muscle strength. Measurements were performed twice on each patient-before admission and after hospitalisation in the Pulmonary Rehabilitation Ward. RESULTS: We show that conducting pulmonary rehabilitation contributes to the increase in MIP and MEP, which are associated with increased strength of the inspiratory and expiratory muscles. The average value of MIP increased by 11.95 cmH2O and MEP by 26.16 cmH2O. The improvement was visible in both female and male patients. CONCLUSIONS: Pulmonary rehabilitation contributes to the improvement of respiratory muscle function indicators among patients after COVID-19 infection. Assessment of the MIP and MEP indices is a simple and quick way to reliably assess the function of the respiratory muscles.
ABSTRACT
The COVID-19 pandemic has revealed the high usefulness of telemedicine. To date, no uniform recommendations or diagnostic protocols for long-COVID patients have been developed. This article presents the preliminary results of the examination of patients after SARS-CoV-2 infection who were provided with medical telemonitoring devices in order to oversee their pulmonological and cardiological health. Three cases have been analyzed. Each patient underwent a 10-day registration of basic vital signs, in three 15-min sessions daily: RR (respiratory rate), ECG (electrocardiogram), HR (pulse), SPO2 (saturation), body temperature and cough. Rule methods and machine learning were employed to automatically detect events. As a result, serious disorders of all the three patients were detected: cardiological and respiratory disorders that required extended diagnostics. Furthermore, average values of the selected parameters (RR, HR, SPO2) were calculated for every patient, including an indication of how often they exceeded the alarm thresholds. In conclusion, monitoring parameters in patients using telemedicine, especially in a time of limited access to the healthcare system, is a valuable clinical instrument. It enables medical professionals to recognize conditions which may endanger a patient's health or life. Telemedicine provides a reliable assessment of a patient's health status made over a distance, which can alleviate a patient's stress caused by long-COVID syndrome. Telemedicine allows identification of disorders and performing further diagnosis, which is possible owing to the implementation of advanced analysis. Telemedicine, however, requires flexibility and the engagement of a multidisciplinary team, who will respond to patients' problems on an ongoing basis.