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1.
Crit Care Med ; 48(3): 276-288, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-32058366

RESUMO

OBJECTIVES: To provide contemporary estimates of the burdens (costs and mortality) associated with acute inpatient Medicare beneficiary admissions for sepsis. DESIGN: Analysis of paid Medicare claims via the Centers for Medicare & Medicaid Services DataLink Project. SETTING: All U.S. acute care hospitals, excluding federally operated hospitals (Veterans Administration and Defense Health Agency). PATIENTS: All Medicare beneficiaries, 2012-2018, with an inpatient admission including one or more explicit sepsis codes. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Total inpatient hospital and skilled nursing facility admission counts, costs, and mortality over time. From calendar year (CY)2012-CY2018, the total number of Medicare Part A/B (fee-for-service) beneficiaries with an inpatient hospital admission associated with an explicit sepsis code rose from 811,644 to 1,136,889. The total cost of inpatient hospital admission including an explicit sepsis code for those beneficiaries in those calendar years rose from $17,792,657,303 to $22,439,794,212. The total cost of skilled nursing facility care in the 90 days subsequent to an inpatient hospital discharge that included an explicit sepsis code for Medicare Part A/B rose from $3,931,616,160 to $5,623,862,486 over that same interval. Precise costs are not available for Medicare Part C (Medicare Advantage) patients. Using available federal data sources, we estimated the aggregate cost of inpatient admissions and skilled nursing facility admissions for Medicare Advantage patients to have risen from $6.0 to $13.4 billion over the CY2012-CY2018 interval. Combining data for fee-for-service beneficiaries and estimates for Medicare Advantage beneficiaries, we estimate the total inpatient admission sepsis cost and any subsequent skilled nursing facility admission for all (fee-for-service and Medicare Advantage) Medicare patients to have risen from $27.7 to $41.5 billion. Contemporary 6-month mortality rates for Medicare fee-for-service beneficiaries with a sepsis inpatient admission remain high: for septic shock, approximately 60%; for severe sepsis, approximately 36%; for sepsis attributed to a specific organism, approximately 31%; and for unspecified sepsis, approximately 27%. CONCLUSION: Sepsis remains common, costly to treat, and presages significant mortality for Medicare beneficiaries.


Assuntos
Gastos em Saúde/estatística & dados numéricos , Hospitalização/economia , Medicare/economia , Sepse/economia , Sepse/mortalidade , Idoso , Idoso de 80 Anos ou mais , Centers for Medicare and Medicaid Services, U.S. , Planos de Pagamento por Serviço Prestado/economia , Feminino , Humanos , Masculino , Medicare Part B/economia , Medicare Part C/economia , Qualidade de Vida , Índice de Gravidade de Doença , Choque Séptico/economia , Choque Séptico/mortalidade , Estados Unidos/epidemiologia
2.
Crit Care Med ; 48(3): 289-301, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-32058367

RESUMO

OBJECTIVES: To distinguish characteristics of Medicare beneficiaries who will have an acute inpatient admission for sepsis from those who have an inpatient admission without sepsis, and to describe their further trajectories during and subsequent to those inpatient admissions. DESIGN: Analysis of paid Medicare claims via the Centers for Medicare and Medicaid Services DataLink Project. SETTING: All U.S. acute care hospitals, excepting federal hospitals (Veterans Administration and Defense Health Agency). PATIENTS: Medicare beneficiaries, 2012-2018, with an inpatient hospital admission including one or more explicit sepsis codes. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Prevalent diagnoses in the year prior to the inpatient admission; healthcare contacts in the week prior to the inpatient admission; discharges, transfers, readmissions, and deaths (trajectories) for 6 months following discharge from the inpatient admission. Beneficiaries with no sepsis inpatient hospital admission for a year prior to an index hospital admission for sepsis were nearly indistinguishable by accumulated diagnostic codes from beneficiaries who had an index hospital admission without sepsis. Although the timing of healthcare services in the week prior to inpatient hospital admission was similar among beneficiaries who would be admitted for sepsis versus those whose inpatient admission did not include a sepsis code, the setting differed: beneficiaries destined for a sepsis admission were more likely to have received skilled nursing or unskilled nursing (e.g., nursing aide for activities of daily living) care. In contrast, comparing beneficiaries who had been free of any inpatient admission for an entire year and then required an inpatient admission, acute inpatient stays that included a sepsis code led to more than three times as many deaths within 1 week of discharge, with more admissions to skilled nursing facilities and fewer discharges to home. Comparing all beneficiaries who were admitted to a skilled nursing facility after an inpatient hospital admission, those who had sepsis coded during the index admission were more likely to die in the skilled nursing facility; more likely to be readmitted to an acute inpatient hospital and subsequently die in that setting; or if they survive to discharge from the skilled nursing facility, they are more likely to go next to a custodial nursing home. CONCLUSIONS: Although Medicare beneficiaries destined for an inpatient hospital admission with a sepsis code are nearly indistinguishable by other diagnostic codes from those whose admissions will not have a sepsis code, their healthcare trajectories following the admission are worse. This suggests that an inpatient stay that included a sepsis code not only identifies beneficiaries who were less resilient to infection but also signals increased risk for worsening health, for mortality, and for increased use of advanced healthcare services during and postdischarge along with an increased likelihood of an inpatient hospital readmission.


Assuntos
Medicare/estatística & dados numéricos , Alta do Paciente/estatística & dados numéricos , Sepse/epidemiologia , Sepse/terapia , Idoso , Idoso de 80 Anos ou mais , Centers for Medicare and Medicaid Services, U.S. , Comorbidade , Planos de Pagamento por Serviço Prestado/economia , Feminino , Gastos em Saúde/estatística & dados numéricos , Serviços de Assistência Domiciliar/estatística & dados numéricos , Hospitalização/estatística & dados numéricos , Humanos , Masculino , Metaloproteínas , Qualidade de Vida , Sepse/mortalidade , Índice de Gravidade de Doença , Choque Séptico/epidemiologia , Choque Séptico/mortalidade , Choque Séptico/terapia , Instituições de Cuidados Especializados de Enfermagem/estatística & dados numéricos , Succinatos , Estados Unidos/epidemiologia
3.
Crit Care Med ; 48(3): 302-318, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-32058368

RESUMO

OBJECTIVE: To evaluate the impact of sepsis, age, and comorbidities on death following an acute inpatient admission and to model and forecast inpatient and skilled nursing facility costs for Medicare beneficiaries during and subsequent to an acute inpatient sepsis admission. DESIGN: Analysis of paid Medicare claims via the Centers for Medicare & Medicaid Services DataLink Project (CMS) and leveraging the CMS-Hierarchical Condition Category risk adjustment model. SETTING: All U.S. acute care hospitals, excepting federal hospitals (Veterans Administration and Defense Health Agency). PATIENTS: All Part A/B (fee-for-service) Medicare beneficiaries with an acute inpatient admission in 2017 and who had no inpatient sepsis admission in the prior year. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Logistic regression models to determine covariate risk contribution to death following an acute inpatient admission; conventional regression to predict Medicare beneficiary sepsis costs. Using the Hierarchical Condition Category risk adjustment model to illuminate influence of illness on outcome of inpatient admissions, representative odds ratios (with 95% CIs) for death within 6 months of an admission (referenced to beneficiaries admitted but without the characteristic) are as follows: septic shock, 7.27 (7.19-7.35); metastatic cancer and acute leukemia (Hierarchical Condition Category 8), 6.76 (6.71-6.82); all sepsis, 2.63 (2.62-2.65); respiratory arrest (Hierarchical Condition Category 83), 2.55 (2.35-2.77); end-stage liver disease (Hierarchical Condition Category 27), 2.53 (2.49-2.56); and severe sepsis without shock, 2.48 (2.45-2.51). Models of the cost of sepsis care for Medicare beneficiaries forecast arise approximately 13% over 2 years owing the rising enrollments in Medicare offset by the cost of care per admission. CONCLUSIONS: A sepsis inpatient admission is associated with marked increase in risk of death that is comparable to the risks associated with inpatient admissions for other common and serious chronic illnesses. The aggregate costs of sepsis care for Medicare beneficiaries will continue to increase.


Assuntos
Gastos em Saúde/estatística & dados numéricos , Hospitalização/estatística & dados numéricos , Medicare/estatística & dados numéricos , Sepse/mortalidade , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Centers for Medicare and Medicaid Services, U.S. , Comorbidade , Planos de Pagamento por Serviço Prestado/estatística & dados numéricos , Feminino , Humanos , Masculino , Medicare Part C/economia , Modelos Estatísticos , Qualidade de Vida , Índice de Gravidade de Doença , Choque Séptico/mortalidade , Estados Unidos/epidemiologia
4.
J Clin Transl Sci ; 7(1): e175, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37745933

RESUMO

Introduction: With persistent incidence, incomplete vaccination rates, confounding respiratory illnesses, and few therapeutic interventions available, COVID-19 continues to be a burden on the pediatric population. During a surge, it is difficult for hospitals to direct limited healthcare resources effectively. While the overwhelming majority of pediatric infections are mild, there have been life-threatening exceptions that illuminated the need to proactively identify pediatric patients at risk of severe COVID-19 and other respiratory infectious diseases. However, a nationwide capability for developing validated computational tools to identify pediatric patients at risk using real-world data does not exist. Methods: HHS ASPR BARDA sought, through the power of competition in a challenge, to create computational models to address two clinically important questions using the National COVID Cohort Collaborative: (1) Of pediatric patients who test positive for COVID-19 in an outpatient setting, who are at risk for hospitalization? (2) Of pediatric patients who test positive for COVID-19 and are hospitalized, who are at risk for needing mechanical ventilation or cardiovascular interventions? Results: This challenge was the first, multi-agency, coordinated computational challenge carried out by the federal government as a response to a public health emergency. Fifty-five computational models were evaluated across both tasks and two winners and three honorable mentions were selected. Conclusion: This challenge serves as a framework for how the government, research communities, and large data repositories can be brought together to source solutions when resources are strapped during a pandemic.

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