clinicaltrials.gov Identifier: NCT01358110.
IMPORTANCE Decision-making in the timing of tracheostomy in patients with coronavirus disease 2019 has centered on the intersection of long-standing debates on the benefits of early vs late tracheostomy, assumptions about timelines of infectivity of the novel coronavirus, and concern over risk to surgeons performing tracheostomy. Multiple consensus guidelines recommend avoiding or delaying tracheostomy, without evidence to indicate anticipated improvement in outcomes as a result.OBJECTIVE To assess outcomes from early tracheostomy in the airway management of patients with COVID-19 requiring mechanical ventilation. DESIGN, SETTING, AND PARTICIPANTSA retrospective medical record review was completed of 148 patients with reverse transcriptase-polymerase chain reaction-confirmed COVID-19 requiring mechanical ventilation at a single tertiary-care medical center in New York City from March 1 to May 7, 2020. INTERVENTIONS Open or percutaneous tracheostomy.MAIN OUTCOMES AND MEASURES The primary outcomes were time from symptom onset to (1) endotracheal intubation, (2) tracheostomy; time from endotracheal intubation to tracheostomy; time from tracheostomy to (1) tracheostomy tube downsizing, (2) decannulation; total time on mechanical ventilation; and total length of stay. RESULTSParticipants included 148 patients, 120 men and 28 women, with an overall mean (SD) age of 58.1 (15.8) years. Mean (SD; median) time from symptom onset to intubation was 10.57 (6.58; 9) days; from symptom onset to tracheostomy, 22.76 (8.84; 21) days; and from endotracheal intubation to tracheostomy, 12.23 (6.82; 12) days. The mean (SD; median) time to discontinuation of mechanical ventilation was 33.49 (18.82; 27) days; from tracheostomy to first downsize, 23.02 (13.76; 19) days; and from tracheostomy to decannulation, 30.16 (16.00; 26) days. The mean (SD; median) length of stay for all patients was 51. 29 (23.66; 45) days. Timing of tracheostomy was significantly associated with length of stay: median length of stay was 40 days in those who underwent early tracheostomy (within 10 days of endotracheal intubation) and 49 days in those who underwent late tracheostomy (median difference, −8; 95% CI, −15 to −1). In a competing risks model with death as the competing risk, the late tracheostomy group was 16% less likely to discontinue mechanical ventilation (hazard ratio, 0.84; 95% CI, 0.55 to 1.28).CONCLUSIONS AND RELEVANCE This cohort study from the first 2 months of the pandemic in New York City provides an opportunity to reconsider guidelines for tracheostomy for patients with COVID-19. Findings demonstrated noninferiority of early tracheostomy and challenges recommendations to categorically delay or avoid tracheostomy in this patient population. When aligned with emerging evidence about the timeline of infectivity of the novel coronavirus, this approach may optimize outcomes from tracheostomy while keeping clinicians safe.
ObjectiveTo assess the availability and affordability of medicines and routine tests for cardiovascular disease (CVD) and diabetes in the West region of Cameroon, a low-income setting.MethodsA survey was conducted on the availability and cost of twelve routine tests and twenty medicines for CVD and diabetes in eight health districts (four urban and four rural) covering over 60% of the population of the region (1.8 million). We analyzed the percentage of tests and medicines available, the median price against the international reference price (median price ratio) for the medicines, and affordability in terms of the number of days’ wages it would cost the lowest-paid unskilled government worker for initial investigation tests and procurement for one month of treatment.ResultsThe availability of tests varied between 10% for the ECG to 100% for the fasting blood sugar. The average cost for the initial investigation using the minimum tests cost 29.76 days’ wages. The availability of medicines varied from 36.4% to 59.1% in urban and from 9.1% to 50% in rural settings. Only metformin and benzathine-benzylpenicilline had a median price ratio of ≤1.5, with statins being largely unaffordable (at least 30.51 days’ wages). One month of combination treatment for coronary heart disease costs at least 40.87 days’ wages.ConclusionThe investigation and management of patients with medium-to-high cardiovascular risk remains largely unavailable and unaffordable in this setting. An effective non-communicable disease program should lay emphasis on primary prevention, and improve affordable access to essential medicines in public outlets.
Convex clustering, a convex relaxation of k-means clustering and hierarchical clustering, has drawn recent attentions since it nicely addresses the instability issue of traditional nonconvex clustering methods. Although its computational and statistical properties have been recently studied, the performance of convex clustering has not yet been investigated in the high-dimensional clustering scenario, where the data contains a large number of features and many of them carry no information about the clustering structure. In this paper, we demonstrate that the performance of convex clustering could be distorted when the uninformative features are included in the clustering. To overcome it, we introduce a new clustering method, referred to as Sparse Convex Clustering, to simultaneously cluster observations and conduct feature selection. The key idea is to formulate convex clustering in a form of regularization, with an adaptive group-lasso penalty term on cluster centers. In order to optimally balance the trade-off between the cluster fitting and sparsity, a tuning criterion based on clustering stability is developed. Theoretically, we obtain a finite sample error bound for our estimator and further establish its variable selection consistency. The effectiveness of the proposed method is examined through a variety of numerical experiments and a real data application.
Background Small cohort studies have suggested oral tongue squamous cell carcinoma (OTSCC) could be associated with worse prognosis in individuals younger than 40. Methods We compared the survival of all OTSCC cases in the National Cancer Database under 40 years old with those older than 40, excluding patients over 70. Cox regression and propensity score matched (PSM) survival analyses were performed. Results A total of 22 930 OTSCC patients were identified. The under 40 group consisted of 2566 (9.9%) cases; 20664 were 40 to 70 (90.1%). Most were male (13 713, 59.8%), stage I‐II (12 754, 72.4%), and treated by surgery alone (13 973, 63.2%). Survival in patients under 40 was higher (79.6% vs 69.5%, P < .001). In PSM analysis (n = 2928) controlling for all 10 significant factors in multivariate regression, patients under 40 had a 9% higher 5‐year survival (77.1% vs 68.2%, P < .001). Conclusion Contrary to the prior reports, younger patients with OTSCC did not have worse survival in the National Cancer Database.
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