Burden of illness associated with overweight and obesity in patients hospitalized with COVID-19 in the United States: analysis of the premier healthcare database from April 1, 2020 to October 31, 2020.

BACKGROUND: SARS-CoV-2 (COVID-19) continues to be a major public health issue. Obesity is a major risk factor for disease severity and mortality associated with COVID-19. OBJECTIVE: This study sought to estimate the healthcare resource use and cost outcomes in patients hospitalized with COVID-19 in the United States (US) according to body mass index (BMI) class. METHODS: Retrospective cross-sectional study analyzing data from the Premier Healthcare COVID-19 database for hospital length-of-stay (LOS), intensive care unit (ICU) admission, ICU LOS, invasive mechanical ventilator use, invasive mechanical ventilator use duration, in-hospital mortality, and total hospital costs from hospital charge data. RESULTS: After adjustment for patient age, gender, and race, patients with COVID-19 and overweight or obesity had longer durations for mean hospital LOS (normal BMI = 7.4 days, class 3 obesity = 9.4 days, p < .0001) and ICU LOS (normal BMI = 6.1 days, class 3 obesity = 9.5 days, p < .0001) than patients with normal weight. Patients with normal BMI had fewer days on invasive mechanical ventilation compared to patients with overweight and obesity classes 1-3 (6.7 days vs. 7.8, 10.1, 11.5, and 12.4, respectively, p < .0001). The predicted probability of in-hospital mortality was nearly twice that of patients with class 3 obesity compared to patients with normal BMI (15.0 vs 8.1%, p < .0001). Mean (standard deviation) total hospital costs for a patient with class 3 obesity is estimated at $26,545 ($24,433-$28,839), 1.5 times greater than the mean for a patient with a normal BMI at $17,588 ($16,298-$18,981). CONCLUSIONS: Increasing levels of BMI class, from overweight to obesity class 3, are significantly associated with higher levels of healthcare resource utilization and costs in adult patients hospitalized with COVID-19 in the US. Effective treatment of overweight and obesity are needed to reduce the burden of illness associated with COVID-19.

The COVID-19 pandemic has caused many people to be seriously ill. People who are overweight are more likely to get sicker from COVID-19 infection and to require hospitalization.In our study, we compared patients who have normal weight to people who have overweight or obesity to understand how excess weight affects their experiences with COVID-19. We looked at: (1) how overweight and obesity is related to how long patients with COVID-19 stay in the hospital, (2) if they stayed in the intensive care unit (ICU) and how long they spent there, (3) whether they needed help breathing with the use of a ventilator and how long they needed a ventilator, (4) if they died during their hospital stay, and (5) how much their hospital stay cost.We found that people who have overweight or obesity stayed in the hospital longer, were more likely to need to stay in the ICU, and were in the ICU longer. They were also more likely to need help breathing with the use of a ventilator and needed that help for a longer time. People who have overweight or obesity died during their hospital stay more often than people with a normal BMI. The costs associated with people who have overweight or obesity were higher than people who have a normal BMI.Overall, this study shows that having overweight or obesity is a significant risk factor for poor outcomes from COVID-19 infection. Treatment for obesity and overweight is needed to help improve outcomes from future pandemics.

Public health impact and economic value of booster vaccination with Pfizer-BioNTech COVID-19 vaccine, bivalent (Original and Omicron BA.4/BA.5) in the United States.

OBJECTIVE: To assess the public health impact and economic value of booster vaccination with the Pfizer-BioNTech COVID-19 Vaccine, Bivalent in the United States. METHODS: A combined cohort Markov decision tree model estimated the cost-effectiveness and budget impact of booster vaccination compared to no booster vaccination in individuals aged ≥5 years. Analyses prospectively assessed three scenarios (base case, low, high) defined based upon the emergence (or not) of subvariants, using list prices. Age-stratified parameters were informed by literature. The cost-effectiveness analysis estimated cases, hospitalizations and deaths averted, Life Years (LYs) and Quality Adjusted Life Years (QALYs) gained, the incremental cost-effectiveness ratio (ICER), the net monetary benefit (NMB), and the Return on Investment (ROI). The budget impact analyses used the perspective of a hypothetical 1-million-member plan. Sensitivity analyses explored parameter uncertainty. Conservatively, indirect effects and broad societal benefits were not considered. RESULTS: The base case predicted that, compared to no booster vaccination, the Pfizer-BioNTech COVID-19 Vaccine, Bivalent could result in ∼3.7 million fewer symptomatic cases, 162 thousand fewer hospitalizations, 45 thousand fewer deaths, 373 thousand fewer discounted QALYs lost, and was cost-saving. Using a conservative value of $50,000 for 1 LY, every $1 invested yielded estimated $4.67 benefits. Unit costs, health outcomes and effectiveness had the greatest impact on results. At $50,000 per QALY gained, the booster generated a 34.2 billion NMB and probabilistic sensitivity analyses indicated a 92% chance of being cost-saving and 98% of being cost-effective. The bivalent was cost-saving or highly cost-effective in high and low scenarios. In a hypothetical 1-million-member health plan population, the vaccine was predicted to be a budget-efficient solution for payers. CONCLUSIONS: Booster vaccination with the Pfizer-BioNTech COVID-19 Vaccine, Bivalent for the US population aged ≥5 years could generate notable public health impact and be cost-saving based on the findings of our base case analyses.

COVID-19 Information and Consumer Perception

The objective ofthis study is to examine the consumers’perceptions on Covid-19information disseminatedby government agencies. This study employs the factor analysis method on a sample of 634 consumers in the Klang Valley, Malaysia. It was found that the consumers frequently use the disseminated information from government agencies involved in the management of Covid-19, especially as transmitted through the social media namely Telegram, Facebook and Twitter. The prompt response of these agencies in denying false news proved to further increase the public’s confidence in the information provided. In addition, the Covid-19 information has also successfully influenced the behavior of the community to comply with enforced standard operating procedures. The study established that, pictorial information is seen to be more understood than other forms of information. Covid-19 information should thus be disseminated by government agencies since it is adopted by all members of the public. © 2022 Penerbit Universiti Kebangsaan Malaysia. All rights reserved.

COVID-19-associated hospitalizations among children less than 12 years of age in the United States.

OBJECTIVES: To describe the characteristics, healthcare resource use and costs associated with initial hospitalization and readmissions among pediatric patients with COVID-19 in the US. METHODS: Hospitalized pediatric patients, 0-11 years of age, with a primary or secondary discharge diagnosis code for COVID-19 (ICD-10 code U07.1) were selected from 1 April 2020 to 30 September 2021 in the US Premier Healthcare Database Special Release (PHD SR). Patient characteristics, hospital length of stay (LOS), in-hospital mortality, hospital costs, hospital charges, and COVID-19-associated readmission outcomes were evaluated and stratified by age groups (0-4, 5-11), four COVID-19 disease progression states based on intensive care unit (ICU) and invasive mechanical ventilation (IMV) usage, and three sequential calendar periods. Sensitivity analyses were performed using the US HealthVerity claims database and restricting the analyses to the primary discharge code. RESULTS: Among 4,573 hospitalized pediatric patients aged 0-11 years, 68.0% were 0-4 years and 32.0% were 5-11 years, with a mean (median) age of 3.2 (1) years; 56.0% were male, and 67.2% were covered by Medicaid. Among the overall study population, 25.7% had immunocompromised condition(s), 23.1% were admitted to the ICU and 7.3% received IMV. The mean (median) hospital LOS was 4.3 (2) days, hospital costs and charges were $14,760 ($6,164) and $58,418 ($21,622), respectively; in-hospital mortality was 0.5%. LOS, costs, charges, and in-hospital mortality increased with ICU admission and/or IMV usage. In total, 2.1% had a COVID-19-associated readmission. Study outcomes appeared relatively more frequent and/or higher among those 5-11 than those 0-4. Results using the HealthVerity data source were generally consistent with main analyses. LIMITATIONS: This retrospective administrative database analysis relied on coding accuracy and inpatient admissions with validated hospital costs. CONCLUSIONS: These findings underscore that children aged 0-11 years can experience severe COVID-19 illness requiring hospitalization and substantial hospital resource use, further supporting recommendations for COVID-19 vaccination.

Clinical and economic benefits of lenzilumab plus standard of care compared with standard of care alone for the treatment of hospitalized patients with COVID-19 in the United States from the hospital perspective.

AIMS: Estimate the clinical and economic benefits of lenzilumab plus standard of care (SOC) compared with SOC alone in the treatment of patients hospitalized with COVID-19 pneumonia from the United States (US) hospital perspective. MATERIALS AND METHODS: A per-patient cost calculator was developed to report the clinical and economic benefits associated with adding lenzilumab to SOC in newly hospitalized COVID-19 patients over 28 days. Clinical inputs were based on the LIVE-AIR trial, including failure to achieve survival without ventilation (SWOV), mortality, time to recovery, intensive care unit (ICU) admission, and invasive mechanical ventilation (IMV) use. Base case costs included the anticipated list price of lenzilumab, drug administration, and hospital resource costs based on the level of care required. A scenario analysis examined projected one-year rehospitalization costs. RESULTS: In the base case and all scenarios, lenzilumab plus SOC improved all specified clinical outcomes relative to SOC alone. Lenzilumab plus SOC resulted in estimated cost savings of $3,190 per patient in a population aged <85 years with C-reactive protein (CRP) levels <150 mg/L and receiving remdesivir (base case). Per-patient cost savings were observed in the following scenarios: (1) aged <85 years with CRP <150 mg/L, with or without remdesivir ($1,858); (2) Black and African American patients with CRP <150 mg/L ($13,154); and (3) Black and African American patients from the full population, regardless of CRP level ($2,763). In the full modified intent-to-treat population, an additional cost of $4,952 per patient was estimated. When adding rehospitalization costs to the index hospitalization, a total per-patient cost savings of $5,154 was estimated. CONCLUSIONS: The results highlight the clinical benefits for SWOV, ventilator use, time to recovery, mortality, time in ICU, and time on IMV, in addition to an economic benefit from the US hospital perspective associated with adding lenzilumab to SOC for COVID-19 patients.

Evaluation of COVID-19 vaccine breakthrough infections among immunocompromised patients fully vaccinated with BNT162b2.

OBJECTIVE: To evaluate COVID-19 vaccine breakthrough infections among immunocompromised (IC) individuals. METHODS: Individuals vaccinated with BNT162b2 were selected from the US HealthVerity database (10 December 2020 to 8  July 2021). COVID-19 vaccine breakthrough infections were examined in fully vaccinated (≥14 days after 2nd dose) IC individuals (IC cohort), 12 mutually exclusive IC condition groups, and a non-IC cohort. IC conditions were identified using an algorithm based on diagnosis codes and immunosuppressive (IS) medication usage. RESULTS: Of 1,277,747 individuals ≥16 years of age who received 2 BNT162b2 doses, 225,796 (17.7%) were identified as IC (median age: 58 years; 56.3% female). The most prevalent IC conditions were solid malignancy (32.0%), kidney disease (19.5%), and rheumatologic/inflammatory conditions (16.7%). Among the fully vaccinated IC and non-IC cohorts, a total of 978 breakthrough infections were observed during the study period; 124 (12.7%) resulted in hospitalization and 2 (0.2%) were inpatient deaths. IC individuals accounted for 38.2% (N = 374) of all breakthrough infections, 59.7% (N = 74) of all hospitalizations, and 100% (N = 2) of inpatient deaths. The proportion with breakthrough infections was 3 times higher in the IC cohort compared to the non-IC cohort (N = 374 [0.18%] vs. N = 604 [0.06%]; unadjusted incidence rates were 0.89 and 0.34 per 100 person-years, respectively. Organ transplant recipients had the highest incidence rate; those with >1 IC condition, antimetabolite usage, primary immunodeficiencies, and hematologic malignancies also had higher incidence rates compared to the overall IC cohort. Incidence rates in older (≥65 years old) IC individuals were generally higher versus younger IC individuals (<65). LIMITATIONS: This retrospective analysis relied on coding accuracy and had limited capture of COVID-19 vaccine receipt. CONCLUSIONS: COVID-19 vaccine breakthrough infections are rare but are more common and severe in IC individuals. The findings from this large study support the FDA authorization and CDC recommendations to offer a 3rd vaccine dose to increase protection among IC individuals.