Project description:Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II scores show only limited performance for predicting the survival of severely ill COVID-19 patients. Comprehensively capturing the host physiology, we speculated that proteomics in combination with new data-driven analysis strategies could produce a new generation of prognostic discriminators. We studied two independent cohorts of patients with severe COVID-19 who required intensive care and invasive mechanical ventilation. SOFA score, Charlson comorbidity index and APACHE II score were poor predictors of survival. Instead, using plasma proteomes quantifying 302 plasma protein groups at 387 timepoints in 57 critically ill patients on invasive mechanical ventilation, we found 14 proteins that showed trajectories different between survivors and non-survivors. A proteomic predictor trained on single samples obtained at the first time point at maximum treatment level (i.e. WHO grade 7) and weeks before the outcome, achieved accurate classification of survivors (AUROC 0.81, n=49). We tested the established predictor on an independent validation cohort (AUROC of 1.0, n=24). The majority of proteins with high relevance in the prediction model belong to the coagulation system and complement cascade. Our study demonstrates that predictors derived from plasma protein levels have the potential to substantially outperform current prognostic markers in intensive care.
Project description:BackgroundChronic care delivery models faced unprecedented financial pressures, with a reduction of in-person visits and adoption of telehealth during the COVID-19 pandemic. We sought to understand the reported financial impact of pandemic-related changes to the cystic fibrosis (CF) care model.MethodsThe U.S. CF Foundation State of Care surveys fielded in Summer 2020 (SoC1) and Spring 2021 (SoC2) included questions for CF programs on the impact of pandemic-related restrictions on overall finances, staffing, licensure, and reimbursement of telehealth services. Descriptive analyses were conducted based on program type.ResultsAmong the 286 respondents (128 pediatric, 118 adult, 40 affiliate), the majority (62%) reported a detrimental financial impact to their CF care program in SoC1, though fewer (42%) reported detrimental impacts in SoC2. The most common reported impacts in SoC1 were redeployment of clinical staff (68%), furloughs (52%), hiring freezes (51%), decreases in salaries (34%), or layoffs (10%). Reports of lower reimbursement for telehealth increased from 30% to 40% from SoC1 to SoC2. Projecting towards the future, only a minority (17%) of program directors in SoC2 felt that financial support would remain below pre-pandemic levels.ConclusionsThe COVID-19 pandemic resulted in financial strain on the CF care model, including challenges with reimbursement for telehealth services and reductions in staffing due to institutional changes. Planning for the future of CF care model needs to address these short-term impacts, particularly to ensure a lack of interruption in high-quality multi-disciplinary care.
Project description:BackgroundNovel therapies have dramatically changed cystic fibrosis (CF) and innovative care delivery systems are needed to meet future patient needs. Telehealth has been shown to be an efficient and desirable form of care delivery. The COVID-19 pandemic caused a rapid shift to telehealth, and this presented a unique opportunity to study facilitators, barriers, and satisfaction with this mode of care delivery. We aim to report survey methods, demographics and telehealth use among CF care programs, patients, and families during the pandemic.MethodsCF programs completed two surveys between July 29 and September 18, 2020, and between April 19 and May 19, 2021. Patients and families completed a similar survey between August 31 and October 30, 2020. The surveys addressed topics assessing the pandemic's financial impact, telehealth modes and experiences, licensure and reimbursement issues, health screening, and remote monitoring. Quantitative data were analyzed with descriptive statistics and were compared to the CF Foundation Patient Registry.ResultsMost programs (278 at timepoint one and 274 at timepoint two) provided telehealth during the pandemic. The percent of visits containing either telephone or video components changed from 45% to 25% over the time periods. Additionally, 424 patients and families from various ages and backgrounds responded to the survey and 81% reported having a telehealth visit.ConclusionsThe pandemic accelerated telehealth adoption and these datasets are a valuable source for exploring telehealth barriers and facilitators, the quality-of-care experience, financial and workforce implications, the impact on underrepresented populations, and implications for coverage and reimbursement.
Project description:To understand and analyse the global impact of COVID-19 on outpatient services, inpatient care, elective surgery, and perioperative colorectal cancer care, a DElayed COloRectal cancer surgery (DECOR-19) survey was conducted in collaboration with numerous international colorectal societies with the objective of obtaining several learning points from the impact of the COVID-19 outbreak on our colorectal cancer patients which will assist us in the ongoing management of our colorectal cancer patients and to provide us safe oncological pathways for future outbreaks.
Project description:Coronavirus disease 2019 (COVID-19) can lead to multiorgan damage and fatal outcomes. MicroRNAs (miRNAs) are detectable in blood, reflecting cell activation and tissue injury. We performed small RNA-Seq in healthy controls (N=11), non-severe (N=18) and severe (N=16) COVID-19 patients
Project description:BackgroundWe have recently reported reduced physical activity (PA) in people with cystic fibrosis (pwCF) with and without lung transplantation (LTX) during a 6-week stringent lockdown in Switzerland. This follow-up study explores the impact of coronavirus-2019 disease (COVID-19) related pandemic restrictions on individuals' therapy regimens and health-related aspects in pwCF.MethodsWe conducted a cross-sectional web-based national survey in Spring 2021. The survey included questions on daily PA, airway clearance and inhalation therapy, questions on COVID-19-compatible symptoms, diagnostic tests and vaccination status, and enquired health-related aspects covering the pandemic period between March 2020 to April 2021.Results193 individuals with CF (53% female; 25% LTX recipients) participated. Among pwCF, 10 reported COVID-19 (n = 2 LTX recipients), two subjects were hospitalized, no invasive ventilation required, no deaths. The clinical course was generally mild. Overall, 46% reported less PA during the pandemic, mostly due to closed fitness facilities (85%), lack of motivation (34%), and changes in daily structures (21%). In contrast, 32/193 (17%) pwCF were able to increase their PA levels: 12 (38%) and 11 (34%) reported undertaking home-based training and outdoor activities more frequently; 6 (19%) reported an increase in routine PA, and another 3 (9%) started new activities. Among pwCF without LTX, 5% and 4% reported to undertake less airway clearance and inhalation therapy, respectively.ConclusionsOur study reveals unfavorable consequences of COVID-19 pandemic restrictions on PA of pwCF with unknown long-term consequences for their overall physical fitness and lung health. Strategies to overcome this undesirable situation are needed; increased uptake of telehealth PA programs and virtual exercise classes to promote PA participation might be one promising approach along with vaccination of pwCF and their close contacts.
Project description:ObjectiveAdmission in the intensive care unit of the old patient with coronavirus disease 19 raises an ethical question concerning the scarce resources and their short-term mortality.MethodsPatients aged over 60 from 7 different intensive care units admitted between March 1, 2020 and May 6, 2020, with a diagnosis of coronavirus disease 19 were included in the cohort. Twenty variables were collected during the admission, such as age, severity (Simplified Acute Physiology Score [SAPS] II), several data on physiological status before intensive care unit comorbidities, evaluation of autonomy, frailty, and biological variables. The objective was to model the 30-day mortality with relevant variables, compute their odds ratio associated with their 95% CI, and produce a nomogram to easily estimate and communicate the 30-day mortality. The performance of the model was estimated with the area under the receiving operating curve.ResultsWe included 231 patients, among them 60 (26.0%) patients have died on the 30th day. The relevant variables selected to explain the 30-day mortality were Instrumental Activities of Daily Living (IADL) score (0.82 [0.71-0.94]), age 1.12 (1.07-1.18), SAPS II 1.05 (1.02-1.08), and dementia 6.22 (1.00-38.58). A nomogram was computed to visually represent the final model. Area under the receiving operating curve was at 0.833 (0.776-0.889).ConclusionsAge, autonomy, dementia, and severity at admission were important predictive variables for the 30-day mortality status, and the nomogram could help the physician in the decision-making process and the communication with the family.
Project description:IntroductionICU patients with SARS-CoV-2-related pneumonia are at risk to develop a central dysautonomia which can contribute to mortality and respiratory failure. The pupillary size and its reactivity to light are controlled by the autonomic nervous system. Pupillometry parameters (PP) allow to predict outcomes in various acute brain injuries. We aim at assessing the most predictive PP of in-hospital mortality and the need for invasive mechanical ventilation (IV).Material and methodsWe led a prospective, two centers, observational study. We recruited adult patients admitted to ICU for a severe SARS-CoV-2 related pneumonia between April and August 2020. The pupillometry was performed at admission including the measurement of baseline pupillary diameter (PD), PD variations (PDV), pupillary constriction velocity (PCV) and latency (PDL).ResultsFifty patients, 90 % males, aged 66 (60-70) years were included. Seven (14 %) patients died in hospital. The baseline PD (4.1 mm [3.5; 4.8] vs 2.6 mm [2.4; 4.0], P = 0.009), PDV (33 % [27; 39] vs 25 % [15; 36], P = 0.03) and PCV (3.5 mm.s-1 [2.8; 4.4] vs 2.0 mm.s-1 [1.9; 3.8], P = 0.02) were significantly lower in patients who will die. A PD value <2.75 mm was the most predictive parameter of in-hospital mortality, with an AUC = 0.81, CI 95 % [0.63; 0.99]. Twenty-four (48 %) patients required IV. PD and PDV were significantly lower in patients who were intubated (3.5 mm [2.8; 4.4] vs 4.2 mm [3.9; 5.2], P = 0.03; 28 % [25; 36 %] vs 35 % [32; 40], P = 0.049, respectively).ConclusionsA reduced baseline PD is associated with bad outcomes in COVID-19 patients admitted in ICU. It is likely to reflect a brainstem autonomic dysfunction.