RESUMO
Phenomenon: Many academic medical centers (AMCs) have a history of separating patients on the basis of insurance status. In New York State, where Black and Latino patients are more than twice as likely to have Medicaid as white patients, this practice leads to de facto racial segregation in healthcare. Emerging evidence suggests that this segregation of care is detrimental to both patient care and medical education. Medical students are uniquely positioned to be change makers in this space but face significant barriers to speaking out about these disparities and successfully advocating for institutional change. Approach: The authors designed, piloted, and distributed a 16-item survey on segregated care to third-year medical students at a large academic medical center in New York City. Students were asked both open- and close-ended questions about witnessing separation and differences in patient care on the basis of insurance during their clinical rotations. The survey was shared with 140 students in March 2019 with a response rate of 46.4% (n = 65). Preliminary findings were presented to school and hospital administrators. Findings: More than half of survey respondents reported witnessing separation of patient care or differences in patient care on the basis of insurance (56.3%, n = 36 and 51.6%, n = 33 respectively). Many students reported that these experiences contributed to cynicism and burnout. The authors leveraged these results to advocate for quality improvement measures. In Ob-Gyn, department leadership launched a clinical transformation taskforce and recruited a new Vice Chair of Clinical Transformation/Chief Patient Experience Officer, whose role includes addressing segregated care and disparities in health outcomes. The hospital committed to establishing integrated practices in new clinical spaces and launching a similar survey among house staff. Insights: Many medical students experience and participate in segregated care during their clerkships and this has the potential to impact their education. Medical students are well-positioned to recognize segregated care across health systems and leverage their experiences for advocacy. A survey-based approach can be a powerful tool enabling students to collect these experiences to address segregated care and other health equity issues.
RESUMO
BACKGROUND: Coronavirus disease (COVID-19) can cause severe illness and death. Predictors of poor outcome collected on hospital admission may inform clinical and public health decisions. METHODS: We conducted a retrospective observational cohort investigation of 297 adults admitted to 8 academic and community hospitals in Georgia, United States, during March 2020. Using standardized medical record abstraction, we collected data on predictors including admission demographics, underlying medical conditions, outpatient antihypertensive medications, recorded symptoms, vital signs, radiographic findings, and laboratory values. We used random forest models to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for predictors of invasive mechanical ventilation (IMV) and death. RESULTS: Compared with age <45 years, ages 65-74 years and ≥75 years were predictors of IMV (aORs, 3.12 [95% CI, 1.47-6.60] and 2.79 [95% CI, 1.23-6.33], respectively) and the strongest predictors for death (aORs, 12.92 [95% CI, 3.26-51.25] and 18.06 [95% CI, 4.43-73.63], respectively). Comorbidities associated with death (aORs, 2.4-3.8; Pâ <â .05) included end-stage renal disease, coronary artery disease, and neurologic disorders, but not pulmonary disease, immunocompromise, or hypertension. Prehospital use vs nonuse of angiotensin receptor blockers (aOR, 2.02 [95% CI, 1.03-3.96]) and dihydropyridine calcium channel blockers (aOR, 1.91 [95% CI, 1.03-3.55]) were associated with death. CONCLUSIONS: After adjustment for patient and clinical characteristics, older age was the strongest predictor of death, exceeding comorbidities, abnormal vital signs, and laboratory test abnormalities. That coronary artery disease, but not chronic lung disease, was associated with death among hospitalized patients warrants further investigation, as do associations between certain antihypertensive medications and death.
Assuntos
COVID-19 , Idoso , Hospitalização , Humanos , Pessoa de Meia-Idade , Respiração Artificial , Estudos Retrospectivos , Fatores de Risco , SARS-CoV-2 , Estados UnidosRESUMO
We compared the characteristics of hospitalized and nonhospitalized patients who had coronavirus disease in Atlanta, Georgia, USA. We found that risk for hospitalization increased with a patient's age and number of concurrent conditions. We also found a potential association between hospitalization and high hemoglobin A1c levels in persons with diabetes.
Assuntos
COVID-19 , Diabetes Mellitus , Hemoglobinas Glicadas/análise , Hospitalização/estatística & dados numéricos , Hipertensão , Obesidade , Administração dos Cuidados ao Paciente , Fatores Etários , COVID-19/epidemiologia , COVID-19/psicologia , COVID-19/terapia , Diabetes Mellitus/sangue , Diabetes Mellitus/epidemiologia , Progressão da Doença , Feminino , Georgia/epidemiologia , Humanos , Hipertensão/tratamento farmacológico , Hipertensão/epidemiologia , Masculino , Pessoa de Meia-Idade , Multimorbidade , Obesidade/diagnóstico , Obesidade/epidemiologia , Aceitação pelo Paciente de Cuidados de Saúde , Administração dos Cuidados ao Paciente/métodos , Administração dos Cuidados ao Paciente/normas , Administração dos Cuidados ao Paciente/estatística & dados numéricos , Medição de Risco/métodos , Medição de Risco/estatística & dados numéricos , Fatores de Risco , SARS-CoV-2RESUMO
OBJECTIVE: We sought to explore the technical and legal readiness of healthcare institutions for novel data-sharing methods that allow clinical information to be extracted from electronic health records (EHRs) and submitted securely to the Food and Drug Administration's (FDA's) blockchain through a secure data broker (SDB). MATERIALS AND METHODS: This assessment was divided into four sections: an institutional EHR readiness assessment, legal consultation, institutional review board application submission, and a test of healthcare data transmission over a blockchain infrastructure. RESULTS: All participating institutions reported the ability to electronically extract data from EHRs for research. Formal legal agreements were deemed unnecessary to the project but would be needed in future tests of real patient data exchange. Data transmission to the FDA blockchain met the success criteria of data connection from within the four institutions' firewalls, externally to the FDA blockchain via a SDB. DISCUSSION: The readiness survey indicated advanced analytic capability in hospital institutions and highlighted inconsistency in Fast Healthcare Interoperability Resources format utilitzation across institutions, despite requirements of the 21st Century Cures Act. Further testing across more institutions and annual exercises leveraging the application of data exchange over a blockchain infrastructure are recommended actions for determining the feasibility of this approach during a public health emergency and broaden the understanding of technical requirements for multisite data extraction. CONCLUSION: The FDA's RAPID (Real-Time Application for Portable Interactive Devices) program, in collaboration with Discovery, the Critical Care Research Network's PREP (Program for Resilience and Emergency Preparedness), identified the technical and legal challenges and requirements for rapid data exchange to a government entity using the FDA blockchain infrastructure.
Assuntos
Blockchain , Registros Eletrônicos de Saúde , Emergências , Humanos , Saúde Pública , Avaliação da Tecnologia Biomédica , Estados UnidosRESUMO
OBJECTIVES: To determine mortality rates among adults with critical illness from coronavirus disease 2019. DESIGN: Observational cohort study of patients admitted from March 6, 2020, to April 17, 2020. SETTING: Six coronavirus disease 2019 designated ICUs at three hospitals within an academic health center network in Atlanta, Georgia, United States. PATIENTS: Adults greater than or equal to 18 years old with confirmed severe acute respiratory syndrome-CoV-2 disease who were admitted to an ICU during the study period. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 217 critically ill patients, mortality for those who required mechanical ventilation was 35.7% (59/165), with 4.8% of patients (8/165) still on the ventilator at the time of this report. Overall mortality to date in this critically ill cohort is 30.9% (67/217) and 60.4% (131/217) patients have survived to hospital discharge. Mortality was significantly associated with older age, lower body mass index, chronic renal disease, higher Sequential Organ Failure Assessment score, lower PaO2/FIO2 ratio, higher D-dimer, higher C-reactive protein, and receipt of mechanical ventilation, vasopressors, renal replacement therapy, or vasodilator therapy. CONCLUSIONS: Despite multiple reports of mortality rates exceeding 50% among critically ill adults with coronavirus disease 2019, particularly among those requiring mechanical ventilation, our early experience indicates that many patients survive their critical illness.
Assuntos
Betacoronavirus , Infecções por Coronavirus/mortalidade , Pneumonia Viral/mortalidade , Respiração Artificial , Síndrome do Desconforto Respiratório/mortalidade , Idoso , COVID-19 , Estudos de Coortes , Comorbidade , Infecções por Coronavirus/complicações , Infecções por Coronavirus/terapia , Estado Terminal , Feminino , Georgia/epidemiologia , Mortalidade Hospitalar , Humanos , Unidades de Terapia Intensiva , Masculino , Pessoa de Meia-Idade , Escores de Disfunção Orgânica , Pandemias , Pneumonia Viral/complicações , Pneumonia Viral/terapia , Síndrome do Desconforto Respiratório/etiologia , Síndrome do Desconforto Respiratório/terapia , SARS-CoV-2 , Fatores SocioeconômicosRESUMO
OBJECTIVES: Increasing time to mechanical ventilation and high-flow nasal cannula use may be associated with mortality in coronavirus disease 2019. We examined the impact of time to intubation and use of high-flow nasal cannula on clinical outcomes in patients with coronavirus disease 2019. DESIGN: Retrospective cohort study. SETTING: Six coronavirus disease 2019-specific ICUs across four university-affiliated hospitals in Atlanta, Georgia. PATIENTS: Adults with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection who received high-flow nasal cannula or mechanical ventilation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 231 patients admitted to the ICU, 109 (47.2%) were treated with high-flow nasal cannula and 97 (42.0%) were intubated without preceding high-flow nasal cannula use. Of those managed with high-flow nasal cannula, 78 (71.6%) ultimately received mechanical ventilation. In total, 175 patients received mechanical ventilation; 44.6% were female, 66.3% were Black, and the median age was 66 years (interquartile range, 56-75 yr). Seventy-six patients (43.4%) were intubated within 8 hours of ICU admission, 57 (32.6%) between 8 and 24 hours of admission, and 42 (24.0%) greater than or equal to 24 hours after admission. Patients intubated within 8 hours were more likely to have diabetes, chronic comorbidities, and higher admission Sequential Organ Failure Assessment scores. Mortality did not differ by time to intubation (≤ 8 hr: 38.2%; 8-24 hr: 31.6%; ≥ 24 hr: 38.1%; p = 0.7), and there was no association between time to intubation and mortality in adjusted analysis. Similarly, there was no difference in initial static compliance, duration of mechanical ventilation, or ICU length of stay by timing of intubation. High-flow nasal cannula use prior to intubation was not associated with mortality. CONCLUSIONS: In this cohort of critically ill patients with coronavirus disease 2019, neither time from ICU admission to intubation nor high-flow nasal cannula use were associated with increased mortality. This study provides evidence that coronavirus disease 2019 respiratory failure can be managed similarly to hypoxic respiratory failure of other etiologies.
Assuntos
Cânula/estatística & dados numéricos , Infecções por Coronavirus/terapia , Estado Terminal/terapia , Intubação Intratraqueal/estatística & dados numéricos , Oxigenoterapia/métodos , Pneumonia Viral/terapia , Idoso , COVID-19 , Cânula/efeitos adversos , Infecções por Coronavirus/complicações , Infecções por Coronavirus/mortalidade , Feminino , Humanos , Unidades de Terapia Intensiva , Intubação Intratraqueal/efeitos adversos , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/complicações , Pneumonia Viral/mortalidade , Insuficiência Respiratória/terapia , Estudos RetrospectivosRESUMO
The first reported U.S. case of coronavirus disease 2019 (COVID-19) was detected in January 2020 (1). As of June 15, 2020, approximately 2 million cases and 115,000 COVID-19-associated deaths have been reported in the United States.* Reports of U.S. patients hospitalized with SARS-CoV-2 infection (the virus that causes COVID-19) describe high proportions of older, male, and black persons (2-4). Similarly, when comparing hospitalized patients with catchment area populations or nonhospitalized COVID-19 patients, high proportions have underlying conditions, including diabetes mellitus, hypertension, obesity, cardiovascular disease, chronic kidney disease, or chronic respiratory disease (3,4). For this report, data were abstracted from the medical records of 220 hospitalized and 311 nonhospitalized patients aged ≥18 years with laboratory-confirmed COVID-19 from six acute care hospitals and associated outpatient clinics in metropolitan Atlanta, Georgia. Multivariable analyses were performed to identify patient characteristics associated with hospitalization. The following characteristics were independently associated with hospitalization: age ≥65 years (adjusted odds ratio [aOR] = 3.4), black race (aOR = 3.2), having diabetes mellitus (aOR = 3.1), lack of insurance (aOR = 2.8), male sex (aOR = 2.4), smoking (aOR = 2.3), and obesity (aOR = 1.9). Infection with SARS-CoV-2 can lead to severe outcomes, including death, and measures to protect persons from infection, such as staying at home, social distancing (5), and awareness and management of underlying conditions should be emphasized for those at highest risk for hospitalization with COVID-19. Measures that prevent the spread of infection to others, such as wearing cloth face coverings (6), should be used whenever possible to protect groups at high risk. Potential barriers to the ability to adhere to these measures need to be addressed.
Assuntos
Infecções por Coronavirus/terapia , Hospitalização/estatística & dados numéricos , Pneumonia Viral/terapia , Adolescente , Adulto , Idoso , COVID-19 , Cidades/epidemiologia , Infecções por Coronavirus/epidemiologia , Feminino , Georgia/epidemiologia , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/epidemiologia , Fatores de Risco , Adulto JovemRESUMO
SARS-CoV-2, the novel coronavirus that causes coronavirus disease 2019 (COVID-19), was first detected in the United States during January 2020 (1). Since then, >980,000 cases have been reported in the United States, including >55,000 associated deaths as of April 28, 2020 (2). Detailed data on demographic characteristics, underlying medical conditions, and clinical outcomes for persons hospitalized with COVID-19 are needed to inform prevention strategies and community-specific intervention messages. For this report, CDC, the Georgia Department of Public Health, and eight Georgia hospitals (seven in metropolitan Atlanta and one in southern Georgia) summarized medical record-abstracted data for hospitalized adult patients with laboratory-confirmed* COVID-19 who were admitted during March 2020. Among 305 hospitalized patients with COVID-19, 61.6% were aged <65 years, 50.5% were female, and 83.2% with known race/ethnicity were non-Hispanic black (black). Over a quarter of patients (26.2%) did not have conditions thought to put them at higher risk for severe disease, including being aged ≥65 years. The proportion of hospitalized patients who were black was higher than expected based on overall hospital admissions. In an adjusted time-to-event analysis, black patients were not more likely than were nonblack patients to receive invasive mechanical ventilation (IMV) or to die during hospitalization (hazard ratio [HR] = 0.63; 95% confidence interval [CI] = 0.35-1.13). Given the overrepresentation of black patients within this hospitalized cohort, it is important for public health officials to ensure that prevention activities prioritize communities and racial/ethnic groups most affected by COVID-19. Clinicians and public officials should be aware that all adults, regardless of underlying conditions or age, are at risk for serious illness from COVID-19.
Assuntos
Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/terapia , Pneumonia Viral/epidemiologia , Pneumonia Viral/terapia , Adolescente , Adulto , Negro ou Afro-Americano/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , COVID-19 , Estudos de Coortes , Comorbidade , Infecções por Coronavirus/etnologia , Georgia/epidemiologia , Hospitalização/estatística & dados numéricos , Humanos , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/etnologia , Fatores de Risco , Resultado do Tratamento , Adulto JovemRESUMO
OBJECTIVE: To determine whether delivery hospitals that perform poorly for women also perform poorly for high-risk infants and to what extent Black and Hispanic women receive care at hospitals that perform poorly for both women and infants. METHODS: We examined the correlation between hospital rankings for severe maternal morbidity and very preterm morbidity and mortality in New York City Hospitals using linked birth certificate and state discharge data for 2010-2014. We used mixed-effects logistic regression with a random hospital-specific intercept to generate risk standardized severe maternal morbidity rates and very preterm birth neonatal morbidity and mortality rates for each hospital. We ranked hospitals separately by these risk-standardized rates. We used k-means cluster analysis to categorize hospitals based on their performance on both metrics and risk-adjusted multinomial logistic regression to estimate adjusted probabilities of delivering in each hospital-quality cluster by race/ethnicity. RESULTS: Hospital rankings for severe maternal morbidity and very preterm neonatal morbidity-mortality were moderately correlated (r = .32; p = .05). A 5-cluster solution best fit the data and yielded the categories for hospital performance for women and infants: excellent, good, fair, fair to poor, poor. Black and Hispanic versus White women were less likely to deliver in an excellent quality cluster (adjusted percent of 11%, 18% vs 28%, respectively, p < .001) and more likely to deliver in a poor quality cluster (adjusted percent of 28%, 20%, vs. 4%, respectively, p < .001). CONCLUSIONS FOR PRACTISE: Hospital performance for maternal and high-risk infant outcomes is only moderately correlated but Black and Hispanic women deliver at hospitals with worse outcomes for both women and very preterm infants.
Assuntos
Disparidades em Assistência à Saúde/estatística & dados numéricos , Mortalidade Infantil , Saúde Materna/estatística & dados numéricos , Qualidade da Assistência à Saúde/estatística & dados numéricos , Adulto , Negro ou Afro-Americano/estatística & dados numéricos , Feminino , Hispânico ou Latino/estatística & dados numéricos , Hospitais , Humanos , Lactente , Recém-Nascido , Recém-Nascido Prematuro , Doenças do Prematuro/epidemiologia , Masculino , Pessoa de Meia-Idade , Morbidade , Cidade de Nova Iorque/epidemiologia , Gravidez , População Branca/estatística & dados numéricos , Adulto JovemRESUMO
Background: Generating, reading, or interpreting data is a component of Telemedicine-Intensive Care Unit (Tele-ICU) utilization that has not been explored in the literature. Introduction: Using the idea of "coherence," a construct of Normalization Process Theory, we describe how intensive care unit (ICU) and Tele-ICU staff made sense of their shared work and how they made use of Tele-ICU together. Materials and Methods: We interviewed ICU and Tele-ICU staff involved in the implementation of Tele-ICU during site visits to a Tele-ICU hub and 3 ICUs, at preimplementation (43 interviews with 65 participants) and 6 months postimplementation (44 interviews with 67 participants). Data were analyzed using deductive coding techniques and lexical searches. Results: In the early implementation of Tele-ICU, ICU and Tele-ICU staff lacked consensus about how to share information and consequently how to make use of innovations in data tracking and interpretation offered by the Tele-ICU (e.g., acuity systems). Attempts to collaborate and create opportunities for utilization were supported by quality improvement (QI) initiatives. Discussion: Characterizing Tele-ICU utilization as an element of a QI process limited how ICU staff understood Tele-ICU as an innovation. It also did not promote an understanding of how the Tele-ICU used data and may therefore attenuate the larger promise of Tele-ICU as a potential tool for leveraging big data in critical care. Conclusions: Shared data practices lay the foundation for Tele-ICU program utilization but raise new questions about how the promise of big data can be operationalized for bedside ICU staff.
Assuntos
Unidades de Terapia Intensiva , Telemedicina , Cuidados Críticos , Humanos , Melhoria de QualidadeRESUMO
BACKGROUND: Sepsis is an established global health priority with high mortality that can be curtailed through early recognition and intervention; as such, efforts to raise awareness are potentially impactful and increasingly common. We sought to characterize trends in the awareness of sepsis by examining temporal, geographic, and other changes in search engine utilization for sepsis information-seeking online. METHODS: Using time series analyses and mixed descriptive methods, we retrospectively analyzed publicly available global usage data reported by Google Trends (Google, Palo Alto, CA, USA) concerning web searches for the topic of sepsis between 24 June 2012 and 24 June 2017. Google Trends reports aggregated and de-identified usage data for its search products, including interest over time, interest by region, and details concerning the popularity of related queries where applicable. Outlying epochs of search activity were identified using autoregressive integrated moving average modeling with transfer functions. We then identified awareness campaigns and news media coverage that correlated with epochs of significantly heightened search activity. RESULTS: A second-order autoregressive model with transfer functions was specified following preliminary outlier analysis. Nineteen significant outlying epochs above the modeled baseline were identified in the final analysis that correlated with 14 awareness and news media events. Our model demonstrated that the baseline level of search activity increased in a nonlinear fashion. A recurrent cyclic increase in search volume beginning in 2012 was observed that correlates with World Sepsis Day. Numerous other awareness and media events were correlated with outlying epochs. The average worldwide search volume for sepsis was less than that of influenza, myocardial infarction, and stroke. CONCLUSIONS: Analyzing aggregate search engine utilization data has promise as a mechanism to measure the impact of awareness efforts. Heightened information-seeking about sepsis occurs in close proximity to awareness events and relevant news media coverage. Future work should focus on validating this approach in other contexts and comparing its results to traditional methods of awareness campaign evaluation.
Assuntos
Saúde Global/normas , Ferramenta de Busca/estatística & dados numéricos , Sepse/diagnóstico , Sepse/fisiopatologia , Humanos , Internet , Análise de Séries Temporais Interrompida/métodos , Estudos Retrospectivos , Ferramenta de Busca/métodosRESUMO
The American Society of Anesthesiologists Standards for Basic Monitoring recommends blood pressure (BP) measurement every 5 min. Research has shown distractions or technical factors can cause prolonged measurement intervals exceeding 5 min. We investigated the relationship between prolonged non-invasive BP (NIBP) measurement interval and the incidence of hypotension, detected post-interval. Our secondary outcome was to determine independent predictors of these prolonged NIBP measurement intervals. Retrospective data were analyzed from 139,509 general anesthesia cases from our institution's Anesthesia Information Management System (AIMS). Absolute hypotension (AH) was defined a priori as a systolic BP < 80 mmHg and relative hypotension (RH) was defined as a 40% decrease in systolic BP from the preoperative baseline. Odds ratios (OR) with 95% confidence intervals and Pearson's Chi square Test reported the association of prolonged NIBP measurement intervals on hypotension detected post-NIBP measurement interval. Logistic regression models were developed to determine independent predictors of NIBP measurement intervals. The analysis revealed that NIBP measurement intervals greater than 6 and 10 min are associated with an approximately four times higher incidence of a patient transitioning into hypotension (AH/RH > 6 min OR 4.0 / 3.6; AH/RH > 10 min OR 4.3 / 3.9; p < 0.001). A key finding was that the "> 10-minute AH model" indicated that age 41-80, increased co-morbidity profile, obesity and turning (repositioning) of the operative room table were significant predictors of prolonged NIBP measurement intervals (p < 0.001). While we do not suggest NIBP measurement intervals cause hypotension, intervals greater than 6 and 10 min are associated with a fourfold increase in the propensity of an undetected transition into both RH or AH. These data support current monitoring guidelines.
Assuntos
Determinação da Pressão Arterial/métodos , Hipotensão/diagnóstico , Hipotensão/etiologia , Complicações Intraoperatórias/diagnóstico , Complicações Intraoperatórias/etiologia , Monitorização Intraoperatória/métodos , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Determinação da Pressão Arterial/efeitos adversos , Determinação da Pressão Arterial/normas , Feminino , Humanos , Hipotensão/prevenção & controle , Complicações Intraoperatórias/prevenção & controle , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Monitorização Intraoperatória/efeitos adversos , Monitorização Intraoperatória/normas , Estudos Retrospectivos , Fatores de Tempo , Falha de Tratamento , Adulto JovemRESUMO
OBJECTIVES: In developed countries, public health systems have become adept at rapidly identifying the etiology and impact of public health emergencies. However, within the time course of clinical responses, shortfalls in readily analyzable patient-level data limit capabilities to understand clinical course, predict outcomes, ensure resource availability, and evaluate the effectiveness of diagnostic and therapeutic strategies for seriously ill and injured patients. To be useful in the timeline of a public health emergency, multi-institutional clinical investigation systems must be in place to rapidly collect, analyze, and disseminate detailed clinical information regarding patients across prehospital, emergency department, and acute care hospital settings, including ICUs. As an initial step to near real-time clinical learning during public health emergencies, we sought to develop an "all-hazards" core dataset to characterize serious illness and injuries and the resource requirements for acute medical response across the care continuum. SUBJECTS: A multidisciplinary panel of clinicians, public health professionals, and researchers with expertise in public health emergencies. DESIGN: Group consensus process. INTERVENTIONS: The consensus process included regularly scheduled conference calls, electronic communications, and an in-person meeting to generate candidate variables. Candidate variables were then reviewed by the group to meet the competing criteria of utility and feasibility resulting in the core dataset. MEASUREMENTS AND MAIN RESULTS: The 40-member panel generated 215 candidate variables for potential dataset inclusion. The final dataset includes 140 patient-level variables in the domains of demographics and anthropometrics (7), prehospital (11), emergency department (13), diagnosis (8), severity of illness (54), medications and interventions (38), and outcomes (9). CONCLUSIONS: The resulting all-hazard core dataset for seriously ill and injured persons provides a foundation to facilitate rapid collection, analyses, and dissemination of information necessary for clinicians, public health officials, and policymakers to optimize public health emergency response. Further work is needed to validate the effectiveness of the dataset in a variety of emergency settings.
Assuntos
Estado Terminal/terapia , Emergências , Serviços Médicos de Emergência/organização & administração , Recursos em Saúde/economia , United States Public Health Service/organização & administração , Ferimentos e Lesões/terapia , Consenso , Técnica Delphi , Necessidades e Demandas de Serviços de Saúde , Humanos , Escala de Gravidade do Ferimento , Comunicação Interdisciplinar , Índice de Gravidade de Doença , Estados Unidos , Ferimentos e Lesões/diagnósticoRESUMO
BACKGROUND: Lung protective ventilation strategies utilizing lower tidal volumes per predicted body weight (PBW) and positive end-expiratory pressure (PEEP) have been suggested to be beneficial in a variety of surgical populations. Recent clinical studies have used control groups ventilated with high tidal volumes without PEEP based on the assumption that this reflects current clinical practice. We hypothesized that ventilation strategies have changed over time, that most anesthetics in U.S. academic medical centers are currently performed with lower tidal volumes, and that most receive PEEP. METHODS: Intraoperative data were pooled for adults undergoing general anesthesia with tracheal intubation. Median tidal volumes per kilogram of PBW were categorized as > 10, 8-10 and < 8 mL per kg of PBW. The percentages of cases in 2013 that were performed with median tidal volumes < 8 mL per kg of PBW and PEEP were determined. As a secondary analysis, a proportional odds model using institution, year, height, weight and gender determined the relative associations of these factors using categorical and interquartile odds ratios. RESULTS: 295,540 cases were analyzed from 5 institutions over a period of 10 years. In 2013, 59.3% of cases used median tidal volumes < 8 mL per kg of PBW, 83.3% used PEEP, and 51.0% used both. Of those cases with PEEP, 60.9% used a median pressure of ≥ 5 cmH2O. Predictors of lower categories of tidal volumes included height (odds ratio (OR) 10.83, 95% confidence interval [10.50, 11.16]), institution (lowest OR 0.98 [0.96, 1.00], highest OR 9.63 [9.41, 9.86]), year (lowest OR 1.32 [1.21, 1.44], highest OR 6.31 [5.84, 6.82]), male gender (OR 1.10 [1.07, 1.12]), and weight (OR 0.30 [0.29, 0.31]). CONCLUSION: Most general anesthetics with tracheal intubation at the institutions surveyed are currently performed with a median tidal volume < 8 mL per kg of PBW, most are managed with PEEP of ≥ 5 cmH2O and approximately half utilize both. Given the diversity of the institutions included, this is likely reflective of practice in U.S. academic medical centers. The utilization of higher tidal volumes without PEEP in control groups for clinical research studies should be reconsidered.
Assuntos
Cuidados Intraoperatórios/tendências , Pneumopatias/prevenção & controle , Respiração com Pressão Positiva/tendências , Complicações Pós-Operatórias/prevenção & controle , Padrões de Prática Médica/tendências , Centros Médicos Acadêmicos , Feminino , Humanos , Intubação Intratraqueal , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Volume de Ventilação Pulmonar/fisiologia , Estados UnidosRESUMO
The use of telemetry and invasive monitoring is exceptionally common in modern healthcare. To date the vast majority of this information is not stored for more than a brief duration on the local monitor. This prohibits extensive investigation into waveform data. We describe a system to collect such data in a quaternary care facility. Using standardized "packet sniffing" technology along with routine manual documentation, we reverse engineered the Unity network protocol used to transmit waveform data across the University of Michigan mission critical monitor network. Data was subsequently captured using a proprietary piece of software writing waveform data to local disks. Nightly, this data is post-processed using data from the admit-discharge-transfer system into individual patient waveforms for the day regardless of location. Over a 10 month period, over 2,785 individual patients had a total of 65,112 waveforms captured 15,978 from the operating rooms and 49,134 from the ICUs. The average OR case collected over 11 MB of data. The average single day data collection consisted of 8.6 GB of data. Entire hospital waveform data collection is possible using internally developed software enabling research on waveform data with minimal technical burden. Further research is required to determine the long-term storage and processing of such data.
Assuntos
Unidades de Terapia Intensiva , Informática Médica/instrumentação , Monitorização Fisiológica/métodos , Processamento de Sinais Assistido por Computador , Telemetria/métodos , Centros Médicos Acadêmicos , Alarmes Clínicos , Sistemas Computacionais , Coleta de Dados , Desenho de Equipamento , Hospitalização , Humanos , Informática Médica/métodos , Michigan , Monitorização Fisiológica/instrumentação , Salas Cirúrgicas , Desenvolvimento de Programas , SoftwareRESUMO
BACKGROUND: Acute respiratory distress syndrome (ARDS) remains a serious postoperative complication. Although ARDS prevention is a priority, the inability to identify patients at risk for ARDS remains a barrier to progress. The authors tested and refined the previously reported surgical lung injury prediction (SLIP) model in a multicenter cohort of at-risk surgical patients. METHODS: This is a secondary analysis of a multicenter, prospective cohort investigation evaluating high-risk patients undergoing surgery. Preoperative ARDS risk factors and risk modifiers were evaluated for inclusion in a parsimonious risk-prediction model. Multiple imputation and domain analysis were used to facilitate development of a refined model, designated SLIP-2. Area under the receiver operating characteristic curve and the Hosmer-Lemeshow goodness-of-fit test were used to assess model performance. RESULTS: Among 1,562 at-risk patients, ARDS developed in 117 (7.5%). Nine independent predictors of ARDS were identified: sepsis, high-risk aortic vascular surgery, high-risk cardiac surgery, emergency surgery, cirrhosis, admission location other than home, increased respiratory rate (20 to 29 and ≥30 breaths/min), FIO2 greater than 35%, and SpO2 less than 95%. The original SLIP score performed poorly in this heterogeneous cohort with baseline risk factors for ARDS (area under the receiver operating characteristic curve [95% CI], 0.56 [0.50 to 0.62]). In contrast, SLIP-2 score performed well (area under the receiver operating characteristic curve [95% CI], 0.84 [0.81 to 0.88]). Internal validation indicated similar discrimination, with an area under the receiver operating characteristic curve of 0.84. CONCLUSIONS: In this multicenter cohort of patients at risk for ARDS, the SLIP-2 score outperformed the original SLIP score. If validated in an independent sample, this tool may help identify surgical patients at high risk for ARDS.
Assuntos
Lesão Pulmonar Aguda/diagnóstico , Lesão Pulmonar Aguda/epidemiologia , Complicações Pós-Operatórias/diagnóstico , Complicações Pós-Operatórias/epidemiologia , Síndrome do Desconforto Respiratório/diagnóstico , Síndrome do Desconforto Respiratório/epidemiologia , Idoso , Procedimentos Cirúrgicos Cardíacos/efeitos adversos , Estudos de Coortes , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Estudos Prospectivos , Fatores de RiscoRESUMO
BACKGROUND: The impact of anesthetic equipment on clinical practice parameters associated with development of acute respiratory distress syndrome (ARDS) has not been extensively studied. We hypothesized a change in anesthesia machines would be associated with parameters associated with lower rates of ARDS. METHODS: We performed a retrospective cohort study on a subset of data used to evaluate intraoperative ventilation. Patients included adults receiving a non-cardiac, non-thoracic, non-transplant, non-trauma, general anesthetic between 2/1/05, and 3/31/09 at the University of Michigan. Existing anesthesia machines (Narkomed IIb, Drager) were exchanged for new equipment (Aisys, General Electric). The initial subset compared the characteristics of patients anesthetized between 12/1/06 and 1/31/07 (pre) with those between 4/1/07 and 5/30/07 (post). An extended subset examined cases two years pre and post exchange. Using the standard predicted body weight (PBW), we calculated and compared the tidal volume (total Vt and mL/kg PBW) as well as positive end-expiratory pressure (PEEP), peak inspiratory pressure (PIP), Delta P (PIP-PEEP), and FiO2. RESULTS: A total of 1,414 patients were included in the 2-month pre group and 1,635 patients included in the post group. Comparison of ventilation characteristics found statistically significant differences in median (pre v post): PIP (26 ± 6 v 21 ± 6 cmH2O, p < .001), Delta P (24 ± 6 v 19 ± 6 cmH2O, p < .001), Vt (588 ± 139 v 562 ± 121 ml, p < 0.001; 9.3 ± 2.2 v 9.0 ± 1.9 ml/kg predicted body weight, p < .001), FiO2 (0.57 ± 0.17 v 0.52 ± 0.18, p < .001). Groups did not differ in age, ASA category, PBW, or BMI. The two year subgroup had similar parameters. Risk adjustment resulted in minimal differences in the analysis. New anesthesia machines were associated with a non-statistically significant reduction in postoperative ARDS. CONCLUSIONS: In this study, a change in ventilator management was associated with an anesthesia machine exchange. The smaller Vt and lower PIP noted in the post group may imply a lower risk of volutrauma and barotrauma, which may be significant in at-risk populations. However, there was not a statistically significant reduction in the incidence of post-operative ARDS.