Post-Discharge Health Status and Symptoms in Patients with Severe COVID-19.

BACKGROUND: Little is known about long-term recovery from severe COVID-19 disease. Here, we characterize overall health, physical health, and mental health of patients 1 month after discharge for severe COVID-19. METHODS: This was a prospective single health system observational cohort study of patients ≥ 18 years hospitalized with laboratory-confirmed COVID-19 disease who required at least 6 l of oxygen during admission, had intact baseline cognitive and functional status, and were discharged alive. Participants were enrolled between 30 and 40 days after discharge. Outcomes were elicited through validated survey instruments: the PROMIS® Dyspnea Characteristics and PROMIS® Global Health-10. RESULTS: A total of 161 patients (40.6% of eligible) were enrolled; 152 (38.3%) completed the survey. Median age was 62 years (interquartile range [IQR], 50-67); 57 (37%) were female. Overall, 113/152 (74%) participants reported shortness of breath within the prior week (median score 3 out of 10 [IQR 0-5]), vs 47/152 (31%) pre-COVID-19 infection (0, IQR 0-1), p < 0.001. Participants also rated their physical health and mental health as worse in their post-COVID state (43.8, standard deviation 9.3; mental health 47.3, SD 9.3) compared to their pre-COVID state, (54.3, SD 9.3; 54.3, SD 7.8, respectively), both p < 0.001. Physical and mental health means in the general US population are 50 (SD 10). A total of 52/148 (35.1%) patients without pre-COVID oxygen requirements needed home oxygen after hospital discharge; 20/148 (13.5%) reported still using oxygen at time of survey. CONCLUSIONS: Patients with severe COVID-19 disease typically experience sequelae affecting their respiratory status, physical health, and mental health for at least several weeks after hospital discharge.

Use of Tokens to Unlock Greater Data Sharing in Health Care.

This Viewpoint discusses the use of privacy-preserving record linkage, a token-based record linkage system, as a promising avenue for building a data infrastructure system that bridges isolated data.

Cancer Doesn't Know the Day of the Week: Temporal Trends in Day of Death.

Studies support the existence of psychosomatic phenomena that enable critically ill patients to postpone death until a specific event. We assessed for this effect in cancer by examining variability in deaths at the month and weekend levels using the National Center for Health Statistics database. We found that deaths from cancer were not uniformly distributed temporally. There was a relative 3.3% difference death rate between the peak on Saturday and nadir on Monday, and relative 10.2% difference in rate of death between the peak of deaths in January and nadir in February. The "weekend effect" could be present in 1 in 200 cancer deaths and the "holiday effect" in 1 in 100 cancer deaths. Temporal variation may reflect a small portion of patients are able to "hold on" for a limited amount of time. This uneven distribution of cancer deaths highlights the importance of improving communication and facilitating end-of-life discussions.

Inpatient Care and Outcomes Among People With Cancer Experiencing Homelessness.

Importance: Cancer is a leading cause of death among people experiencing homelessness (PEH) in the US. Acute care settings are important sources of care for PEH; however, the association of housing status with inpatient care remains understudied, particularly in the context of cancer. Objective: To assess whether housing status is associated with differences in the inpatient care of hospitalized adults with cancer. Design, Setting, and Participants: This cross-sectional study included hospitalized inpatient adults aged 18 years or older diagnosed with cancer who were identified using data from the 2016 to 2020 National Inpatient Sample. Propensity score matching was used to create a cohort of PEH and housed individuals matched according to age, sex, race and ethnicity, insurance type, cancer diagnosis, number of comorbidities, substance use disorder, severity of illness, year of admission, hospital location, hospital ownership, region, and hospital bed size. Matched pairs were identified using a 1:1 nearest neighbor matching algorithm without replacement, accounting for survey weights. Data were analyzed from August 1, 2022, to April 30, 2024. Exposure: Housing status. Main Outcomes and Measures: The associations of receipt of invasive procedures, systemic therapy, or radiotherapy during hospitalization (primary outcomes) as well as inpatient death, high cost of stay, and discharge against medical advice (AMA) (secondary outcomes) with housing status. Odds ratios and 95% CIs were estimated with multivariable logistic regression, with adjustment for patient, disease, and hospital characteristics of the matched cohort. Results: The unmatched cohort comprised 13 838 612 individuals (median [IQR] age, 67 [57-76] years; 7 329 473 males [53.0%]) and included 13 793 462 housed individuals (median [IQR] age, 68 [58-77] years) and 45 150 (median [IQR] age, 58 [52-64] years) individuals who were experiencing homelessness after accounting for survey weights. The PEH cohort had a higher prevalence of lung (17.3% vs 14.5%) and upper gastrointestinal (15.2% vs 10.5%) cancers, comorbid substance use disorder (70.2% vs 15.3%), and HIV (5.3% vs 0.5%). Despite having higher rates of moderate or major illness severity (80.1% vs 74.0%) and longer length of stay (≥5 days: 62.2% vs 49.1%), PEH were less likely to receive invasive procedures (adjusted odds ratio [AOR], 0.53; 95% CI, 0.49-0.56), receive systemic therapy (AOR, 0.73; 95% CI, 0.63-0.85), or have a higher-than-median cost of stay (AOR, 0.71; 95% CI, 0.65-0.77). Although PEH had lower rates of inpatient death (AOR, 0.79; 95% CI, 0.68-0.92), they were 4 times more likely to be discharged AMA (AOR, 4.29; 95% CI, 3.63-5.06). Conclusions and Relevance: In this nationally representative cross-sectional study of hospitalized adults with cancer, disparities in inpatient care of PEH highlight opportunities to promote equitable cancer care in this socioeconomically vulnerable population.

Role of financial toxicity in perpetuating health disparities.

Rising costs of cancer care drive patient financial toxicity (FT) that perpetuates known health disparities in access and quality cancer treatment. This Review discusses how FT is a barrier to cancer research and treatment, and discusses potential solutions to improve affordability and reduce healthcare disparities for our patients.

Dyrk1b promotes autophagy during skeletal muscle differentiation by upregulating 4e-bp1.

Rare gain of function mutations in the gene encoding Dyrk1b, a key regulator of skeletal muscle differentiation, have been associated with sarcopenic obesity (SO) and metabolic syndrome (MetS) in humans. So far, the global gene networks regulated by Dyrk1b during myofiber differentiation have remained elusive. Here, we have performed untargeted proteomics to determine Dyrk1b-dependent gene-network in differentiated C2C12 myofibers. This analysis led to identification of translational inhibitor, 4e-bp1 as a post-transcriptional target of Dyrk1b in C2C12 cells. Accordingly, CRISPR/Cas9 mediated knockout of Dyrk1b in zebrafish identified 4e-bp1 as a downstream target of Dyrk1b in-vivo. The Dyrk1b knockout zebrafish embryos exhibited markedly reduced myosin heavy chain 1 expression in poorly developed myotomes and were embryonic lethal. Using knockdown and overexpression approaches in C2C12 cells, we found that 4e-bp1 enhances autophagy and mediates the effects of Dyrk1b on skeletal muscle differentiation. Dyrk1bR102C, the human sarcopenic obesity-associated mutation impaired muscle differentiation via excessive activation of 4e-bp1/autophagy axis in C2C12 cells. Strikingly, the defective muscle differentiation in Dyrk1bR102C cells was rescued by reduction of autophagic flux. The identification of Dyrk1b-4e-bp1-autophagy axis provides significant insight into pathways that are relevant to human skeletal muscle development and disorders.

Racial, Ethnic, and Gender Representation in Leadership Positions at National Cancer Institute-Designated Cancer Centers.

Importance: Increasing diversity is beneficial for the health care system and patient outcomes; however, the current leadership gap in oncology remains largely unquantified. Objective: To evaluate the gender, racial, and ethnic makeup of the leadership teams of National Cancer Institute (NCI)-designated cancer centers and compare with the city populations served by each center. Design, Setting, and Participants: This retrospective cross-sectional study examined gender, race, and ethnicity of leadership teams via publicly available information for NCI-designated cancer centers and compared results with national and city US census population characteristics, as well as active physician data. Data were analyzed in August 2020. Main Outcomes and Measures: Racial, ethnic, and gender diversity (identified via facial recognition software and manual review) of leadership teams compared with institution rank, location, team member degree(s), and h-index. Results: All 63 NCI cancer centers were included in analysis, and all had identifiable leadership teams, with a total of 856 members. Photographs were not identified for 12 leaders (1.4%); of the remaining 844 leaders, race/ethnicity could not be identified for 7 (0.8%). Women make up 50.8% of the US population and 35.9% of active physicians; in NCI cancer centers, 36.3% (306 women) of cancer center leaders were women. Non-Hispanic White individuals comprise 60.6% of the US population and 56.2% of active physicians, but 82.2% of cancer center leaders (688 individuals) were non-Hispanic White. Both Black and Hispanic physicians were underrepresented when compared with their census populations (Black: 12.7% of US population, 5.0% of active physicians; Hispanic: 18.1% of US population, 5.8% of active physicians); however, Black and Hispanic individuals were even less represented in cancer center leadership positions (29 Black leaders [3.5%]; 32 Hispanic leaders [3.8%]). Asian physicians were overrepresented compared with their census population (5.6% of US population, 17.1% of active physicians); however, Asian individuals were underrepresented in leadership positions (92 Asian individuals [11.0%]). A total of 23 NCI cancer centers (36.5%) did not have a single Black or Hispanic member of their leadership team; 8 cancer centers (12.7%) had an all non-Hispanic White leadership team. A multivariate model found that leadership teams with more women (adjusted odds ratio, 1.73 [95% CI, 1.02-2.93]; P = .04) and institutions in the South (adjusted odds ratio, 2.31 [95% CI, 1.15 to 4.77]; P = .02) were more likely to have at least 1 Black or Hispanic leader. Pearson correlation analysis showed weak to moderate correlation between city Hispanic population and Hispanic representation on leadership teams (R = 0.5; P < .001), but no significant association between Black population and Black leadership was found. Conclusions and Relevance: This cross-sectional study found that significant racial and ethnic disparities were present in cancer center leadership positions. Establishing policy, as well as pipeline programs, to address these disparities is essential for change.

Forecasting the Requirement for Nonelective Hospital Beds in the National Health Service of the United Kingdom: Model Development Study.

BACKGROUND: Over the last decade, increasing numbers of emergency department attendances and an even greater increase in emergency admissions have placed severe strain on the bed capacity of the National Health Service (NHS) of the United Kingdom. The result has been overcrowded emergency departments with patients experiencing long wait times for admission to an appropriate hospital bed. Nevertheless, scheduling issues can still result in significant underutilization of bed capacity. Bed occupancy rates may not correlate well with bed availability. More accurate and reliable long-term prediction of bed requirements will help anticipate the future needs of a hospital's catchment population, thus resulting in greater efficiencies and better patient care. OBJECTIVE: This study aimed to evaluate widely used automated time-series forecasting techniques to predict short-term daily nonelective bed occupancy at all trusts in the NHS. These techniques were used to develop a simple yet accurate national health system-level forecasting framework that can be utilized at a low cost and by health care administrators who do not have statistical modeling expertise. METHODS: Bed occupancy models that accounted for patterns in occupancy were created for each trust in the NHS. Daily nonelective midnight trust occupancy data from April 2011 to March 2017 for 121 NHS trusts were utilized to generate these models. Forecasts were generated using the three most widely used automated forecasting techniques: exponential smoothing; Seasonal Autoregressive Integrated Moving Average; and Trigonometric, Box-Cox transform, autoregressive moving average errors, and Trend and Seasonal components. The NHS Modernisation Agency's recommended forecasting method prior to 2020 was also replicated. RESULTS: The accuracy of the models varied on the basis of the season during which occupancy was forecasted. For the summer season, percent root-mean-square error values for each model remained relatively stable across the 6 forecasted weeks. However, only the trend and seasonal components model (median error=2.45% for 6 weeks) outperformed the NHS Modernisation Agency's recommended method (median error=2.63% for 6 weeks). In contrast, during the winter season, the percent root-mean-square error values increased as we forecasted further into the future. Exponential smoothing generated the most accurate forecasts (median error=4.91% over 4 weeks), but all models outperformed the NHS Modernisation Agency's recommended method prior to 2020 (median error=8.5% over 4 weeks). CONCLUSIONS: It is possible to create automated models, similar to those recently published by the NHS, which can be used at a hospital level for a large national health care system to predict nonelective bed admissions and thus schedule elective procedures.

Evaluating Bias in Speaker Introductions at the American Society for Radiation Oncology Annual Meeting.

PURPOSE: Introducing a physician without a professional title may reinforce bias in medicine by influencing perceived credibility. We evaluated differences in the use of professional titles in introductions of speakers at recent American Society for Radiation Oncology (ASTRO) Annual Meetings. METHODS AND MATERIALS: We reviewed recordings from the 2017 to 2019 ASTRO Annual Meetings and included complete introductions of speakers with a doctoral degree. Professional introduction was defined as "Doctor" or "Professor" followed by the speaker's full or last name. We collected use of professional introduction, introducer gender, speaker gender, and speaker professional and demographic variables. Identified speakers were sent surveys to collect self-reported demographic data. Analysis was performed using χ2 tests and multivariable logistic regression (MVA). RESULTS: Of 3267 presentations reviewed, 1226 (38%) met the inclusion criteria. Overall, 805 (66%) speakers and 710 (58%) introducers were men. Professional introductions were used in 74% (2017), 71% (2018), and 69% (2019) of the presentations. There was no difference in the use of professional introductions for male and female speakers (71% vs 73%; P = .550). On MVA, male introducers were associated with decreased use of professional address (odds ratio [OR], 0.36; 95% confidence interval [CI], 0.26-0.49; P < .001). At the 2019 conference, professional introduction was less likely to be used (2019 vs 2017: OR, 0.68; 95% CI, 0.49-0.96; P = 0.026). Those who self-identified as Asian/Pacific Islander were twice as likely to receive a professional introduction compared with those who identified as white (OR, 1.95; 95% CI, 1.07-3.64; P = .033). CONCLUSION: Male introducers were significantly less likely to introduce any speaker, regardless of gender, by their professional title, and overall use of professional introductions decreased from 2017 to 2019. Furthermore, no difference in professional introduction use by speaker gender was identified at the recent ASTRO meetings. Implementing speaker guidelines could increase the use of professional introductions and raise awareness of unconscious bias at future ASTRO meetings.

Mobile Application to Identify Cancer Treatment-Related Financial Assistance: Results of a Randomized Controlled Trial.

PURPOSE: Insured patients with cancer face high treatment-related, out-of-pocket (OOP) costs and often cannot access financial assistance. We conducted a randomized, controlled trial of Bridge, a patient-facing app designed to identify eligible financial resources for patients. We hypothesized that patients using Bridge would experience greater OOP cost reduction than controls. METHODS: We enrolled patients with cancer who had OOP expenses from January 2018 to March 2019. We randomly assigned patients 1:1 to intervention (Bridge) versus control (financial assistance educational websites). Primary and secondary outcomes were self-reported OOP costs and subjective financial distress 3 months postenrollment. In post hoc analyses, we analyzed application for and receipt of financial assistance at 3 months postenrollment. We used chi-square, Mann-Whitney tests, and logistic regression to compare study arms. RESULTS: We enrolled 200 patients. The median age was 57 years (IQR, 47.0-63.0). Most patients had private insurance (71%), and the median household income was $62,000 in US dollars (USD) (IQR, $36,000-$100,000 [USD]). Substantial missing data precluded assessment of primary and secondary outcomes. In post hoc analyses, patients in the Bridge arm were more likely than controls to both apply for and receive financial assistance. CONCLUSION: We were unable to test our primary outcome because of excessive missing follow-up survey data. In exploratory post hoc analyses, patients who received a financial assistance app were more likely to apply for and receive financial assistance. Ultimately, our study highlights challenges faced in identifying measurable outcomes and retaining participants in a randomized, controlled trial of a mobile app to alleviate financial toxicity.

Post-discharge health status and symptoms in patients with severe COVID-19.

BACKGROUND: Little is known about long-term recovery from severe COVID-19 disease. Here, we characterize overall health, physical health and mental health of patients one month after discharge for severe COVID-19. METHODS: This was a prospective single health system observational cohort study of patients ≥18 years hospitalized with laboratory-confirmed COVID-19 disease who required at least 6 liters of oxygen during admission, had intact baseline cognitive and functional status and were discharged alive. Participants were enrolled between 30 and 40 days after discharge. Outcomes were elicited through validated survey instruments: the PROMIS Dyspnea Characteristics and PROMIS Global Health-10. RESULTS: A total of 161 patients (40.6% of eligible) were enrolled; 152 (38.3%) completed the survey. Median age was 62 years (interquartile range [IQR], 50-67); 57 (37%) were female. Overall, 113/152 (74%) participants reported shortness of breath within the prior week (median score 3 out of 10 [IQR 0-5]), vs. 47/152 (31%) pre-COVID-19 infection (0, IQR 0-1), p<0.001. Participants also rated their physical health and mental health as worse in their post-COVID state (43.8, standard deviation 9.3; mental health 47.3, SD 9.3) compared to their pre-COVID state, (54.3, SD 9.3; 54.3, SD 7.8, respectively), both p <0.001. A total of 52/148 (35.1%) patients without pre-COVID oxygen requirements needed home oxygen after hospital discharge; 20/148 (13.5%) reported still using oxygen at time of survey. CONCLUSIONS: Patients with severe COVID-19 disease typically experience sequelae affecting their respiratory status, physical health and mental health for at least several weeks after hospital discharge.

Out-of-hospital medication errors: a 6-year analysis of the national poison data system.

PURPOSE: Previous research and reporting has focused on the incidence and prevention of medication errors in the hospital setting; however, no previous study has reported the frequencies, characteristics and outcomes of out-of-hospital medication (OHME) errors. METHOD: Data from the National Poison Data System (NPDS) was collected for 2000-2005 and information regarding out-of-hospital medication errors reported to Poison Control Centers (PCC) was collected by a trained investigator. RESULTS: From 2000-2005 there were 1,166,116 OHME reported to PCC. Of these patients, 88,451 (7.5%) received medical evaluation by a healthcare provided and 229 (0.01%) deaths reported. The most common drug classes involved included cough/cold medications, analgesics, cardiovascular agents, antihistamines, antidepressants and antimicrobial agents. The most common error reported in both children and adults was taking or giving medication twice. CONCLUSIONS: OHME occur frequently and the NPDS may be a useful resource for data collection and evaluation in this previously overlooked population. The majority of OHME reported did not result in any significant morbidity or mortality and were managed at home without need for healthcare referrral. Further study of OHME is needed, and in particular whether healthcare professionals can target educational instruction to patients so as to effectively reduce the frequency of the most common or injurious errors.

Evaluation of Demineralized Freeze-Dried Bone Allograft in Combination with Chorion Membrane in the Treatment of Grade II Furcation Defects: A Randomized Controlled Trial.

The aim of present study was to evaluate the efficacy of demineralized freeze-dried bone allograft (DFDBA) alone and in combination with chorion membrane (CM) in the treatment of Grade II furcation defects using cone beam computed tomography (CBCT). Sites were randomly assigned to Group I (DFDBA) and Group II (DFDBA + CM). Probing pocket depth (PPD), clinical attachment level (CAL), gingival recession (GR), and horizontal probing depth (HPD) were evaluated at 3 and 6 months and defect volume at 6 months. DFDBA + CM led to significant improvement in all parameters, indicating additional benefits of combination therapy.

Comparative evaluation of the left ventricular mass in patients with chronic kidney disease in periodontally healthy, chronic gingivitis, and chronic periodontitis patients.

OBJECTIVES: Emerging evidence suggests that inflammation due to periodontal diseases may not be limited to adjacent oral tissues but may have influence on systemic diseases such as chronic kidney diseases (CKD) and cardiovascular diseases. Hence, this study was aimed to evaluate and compare left ventricular mass (LVM) in patients with CKD undergoing hemodialysis (CKDH) in periodontally healthy, chronic gingivitis, and chronic periodontitis. METHODOLOGY: A total of 60Â patients diagnosed with CKDH were divided equally into three groups based on periodontal status as CKDH patients with healthy periodontium (Group I), CKDH patients with chronic gingivitis (Group II), and CKDH patients with chronic periodontitis (Group III). These patients were assessed clinically, biochemically, and echocardiographically. LVM in each of these patients was calculated according to Devereux formula and was indexed to height. RESULTS: Group II and Group III patients exhibited higher mean LVM of 199.51 ± 40.17 g and 200.35 ± 65.04Â g, respectively, as compared to Group I of 161.56 ± 27.99Â g. Similarly, LVM index (LVMI) was found to be more in Group II and Group III at 59.36 ± 13.14Â g/m2.7 and 57.83 ± 19.94Â g/m2.7, respectively, while it was 45.99 ± 11.87 g/m2.7 for Group I patients. CONCLUSION: Increasing the severity of periodontal diseases in CKDH patients is associated with increase in LVM and LVMI. Periodontal screening and intervention would enable the clinician to refine cardiovascular risk assessment in such patients.

Comparative evaluation of open flap debridement alone and in combination with anorganic bone matrix/cell-binding peptide in the treatment of human infrabony defects: A randomized clinical trial.

BACKGROUND: The synthetic anorganic bone matrix/cell-binding peptide (ABM/P-15) has displayed an increased fibroblast migration and attachment with bone graft material, thus enhancing periodontal regeneration. The objective of the present study was to evaluate and to correlate the efficacy of open flap debridement (OFD) with and without ABM/P-15 in the treatment of human infrabony periodontal defects. MATERIALS AND METHODS: A total of 20 chronic periodontitis patients with equal number infrabony defects were randomly selected and assigned into two groups depending on the treatment received: Control group (treated with OFD) and Test group (treated with OFD + ABM/P-15). Clinical parameters recorded included plaque index, gingival index, probing pocket depth (PPD), clinical attachment level (CAL), gingival recession, and radiographic defect depth (RDD) which were evaluated at baseline and 6 months postsurgically. RESULTS: When compared to baseline, both the treatment groups demonstrated improvements in the clinical parameters at 6 months. Test group exhibited a mean PPD reduction of 4.15 ± 1.04 mm, CAL gain of 3.10 ± 1.42 mm, and reduction in RDD of 1.90 ± 0.72 mm postoperatively at 6 months. In contrast to Control group, the Test group showed greater reduction in PPD (P < 0.05) which was statistically significant, greater CAL gain and greater mean RDD reduction (P < 0.001) which was highly significant. CONCLUSION: In the surgical management of periodontal infrabony defects, Test group elicited in statistically significant PPD reduction, CAL gain, and better infrabony defect fill at 6 months' postoperatively.

Beneficial effects of the addition of fenofibrate to statin therapy in patients with acute coronary syndrome after percutaneous coronary interventions.

OBJECTIVE: To find out whether the addition of fenofibrate to statin monotherapy produced any synergistic or additive beneficial effects in reducing risk factors, especially plasma fibrinogen, in patients with acute coronary syndrome (ACS) requiring percutaneous coronary interventions. METHODS: A randomized, non-blinded, prospective study with parallel group design. One hundred two ACS patients who underwent angioplasty were randomly assigned to atorvastatin (20 mg/day, n=25), simvastatin (40 mg/day, n=27), atorvastatin-fenofibrate (10 mg/day-200 mg/day) combination (n=25) or simvastatin-fenofibrate (20 mg/day-200 mg/day) combination (n=25). The serum lipid profile and plasma fibrinogen were recorded before initiation of therapy and after three months of the respective treatments. RESULTS: All patients already had desirable lipid levels as per the National Cholesterol Education Program - Adult Treatment Panel III guidelines. The addition of fenofibrate to statin monotherapy produced further benefits to the reduction in triglyceride and very low-density lipoprotein levels, and caused an increase in high-density lipoprotein levels. All the treatment groups showed a significant decrease in the plasma fibrinogen levels. Plasma fibrinogen did not correlate with study parameters such as age, body weight, hemo-dynamic characteristics and lipoprotein levels. Statin monotherapy as well as its combination with fenofibrate produced a significant decrease in the fibrinogen levels. CONCLUSIONS: The addition of fenofibrate to statins seems to be beneficial in patients with ACS. Statins decreased plasma fibrinogen significantly, contrary to results from various reports, and the addition of fenofibrate further enhanced this reduction of the novel risk factor fibrinogen.

Sex and Location Differences in Verification Status of Physician-Held Social Media Platform Accounts.

This cross-sectional study investigated the association of user sex and location with verification of physician-held social media accounts.