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Research has established relationships between social determinants of health (SDOH) and mental health, with mixed findings on which ethnoracial groups are most vulnerable to deleterious outcomes. The current study examines ethnoracial differences in SDOH and their associations with acute mental health symptoms among patients hospitalized after emergency care. Using data collected in a multi-site study of 1,318 diverse adults admitted to inpatient units, we performed analyses using linear regression models. Findings show that Multiracial/Indigenous and Black adults had significantly higher discrimination and financial stress scores. However, compared with White adults, the positive association between extreme discrimination and acute mental health symptoms was diminished among Latinx (B=-2.3; p=.02) and Black individuals (B=-1.6; p=.05) as was the positive association between financial insecurity and acute mental health symptoms for Black adults (B=-2.3; p=.04). This study provides evidence of differential experiences of SDOH and mental health challenges that may warrant tailored interventions.
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Determinantes Sociais da Saúde , Humanos , Determinantes Sociais da Saúde/etnologia , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Hospitalização/estatística & dados numéricos , Negro ou Afro-Americano/estatística & dados numéricos , Negro ou Afro-Americano/psicologia , Transtornos Mentais/etnologia , Estresse Financeiro/etnologia , Estresse Financeiro/psicologia , Hispânico ou Latino/psicologia , Hispânico ou Latino/estatística & dados numéricos , População Branca/estatística & dados numéricos , População Branca/psicologia , Saúde Mental/etnologia , Adulto Jovem , Etnicidade/estatística & dados numéricos , Etnicidade/psicologia , Idoso , Estados Unidos/epidemiologiaRESUMO
This Viewpoint highlights specific challenges of facing a scientific conference audience and provides practical recommendations to overcome these challenges.
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BACKGROUND: The index hospitalization morbidity and mortality of rib fractures among older adults (aged ≥65 years) is well-known, yet the burden and risks for readmissions after rib fractures in this vulnerable population remain understudied. We aimed to characterize the burdens and etiologies associated with 3-month readmissions among older adults who suffer rib fractures. We hypothesized that readmissions would be common and associated with modifiable etiologies. METHODS: This survey-weighted retrospective study using the 2017 and 2019 National Readmissions Database evaluated adults aged ≥65 years hospitalized with multiple rib fractures and without major extrathoracic injuries. The main outcome was the proportion of patients experiencing all-cause 3-month readmissions. We assessed the 5 leading principal readmission diagnoses overall and delineated them by index hospitalization discharge disposition (home or facility). Sensitivity analysis using clinical classification categories characterized readmissions that could reasonably represent rib fracture-related sequelae. RESULTS: In 2017, 25,092 patients met the inclusion criteria, with 20% (N = 4,894) experiencing 3-month readmissions. Six percent of patients did not survive their readmission. The 5 leading principal readmission diagnoses were sepsis (many associated with secondary diagnoses of pneumonia [41%] or urinary tract infections [41%]), hypertensive heart/kidney disease, hemothorax, pneumonia, and respiratory failure. In 2019, a comparable 3-month readmission rate of 23% and identical 5 leading diagnoses were found. Principal readmission diagnosis of hemothorax was associated with the shortest time to readmission (median [interquartile range]:9 [5-23] days). Among patients discharged home after index hospitalization, pleural effusion-possibly representing mischaracterized hemothorax-was among the leading principal readmission diagnoses. Some patients readmitted with a principal diagnosis of hemothorax or pleural effusion had these diagnoses at index hospitalization; a lower proportion of these patients underwent pleural fluid intervention during index hospitalization compared with readmission. On sensitivity analysis, 30% of 3-month readmissions were associated with principal diagnoses suggesting rib fracture-related sequelae. CONCLUSION: Readmissions are not infrequent among older adults who suffer rib fractures, even in the absence of major extrathoracic injuries. Future studies should better characterize how specific complications associated with readmissions, such as pneumonia, urinary tract infections, and delayed hemothoraces, could be mitigated.
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Readmissão do Paciente , Fraturas das Costelas , Humanos , Fraturas das Costelas/complicações , Fraturas das Costelas/terapia , Readmissão do Paciente/estatística & dados numéricos , Idoso , Feminino , Masculino , Estudos Retrospectivos , Idoso de 80 Anos ou mais , Estados Unidos/epidemiologiaRESUMO
The aim of the current investigation was to compare the ability of several frailty scores to predict adverse outcomes in hip fracture patients. All adult patients (18 years or older) who suffered a hip fracture due to a fall and underwent surgical fixation were extracted from the 2019 National Inpatient Sample (NIS) Database. A combination of logistic regression and bootstrapping was used to compare the predictive ability of the Orthopedic Frailty Score (OFS), the Nottingham Hip Fracture Score (NHFS), the 11-factor modified Frailty Index (11-mFI) and 5-factor (5-mFI) modified Frailty Index, as well as the Johns Hopkins Frailty Indicator. A total of 227,850 patients were extracted from the NIS. In the prediction of in-hospital mortality and failure-to-rescue (FTR), the OFS surpassed all other frailty measures, approaching an acceptable predictive ability for mortality [AUC (95% CI): 0.69 (0.67-0.72)] and achieving an acceptable predictive ability for FTR [AUC (95% CI): 0.70 (0.67-0.72)]. The NHFS demonstrated the highest predictive ability for predicting any complication [AUC (95% CI): 0.62 (0.62-0.63)]. The 11-mFI exhibited the highest predictive ability for cardiovascular complications [AUC (95% CI): 0.66 (0.64-0.67)] and the NHFS achieved the highest predictive ability for delirium [AUC (95% CI): 0.69 (0.68-0.70)]. No score succeeded in effectively predicting venous thromboembolism or infections. In summary, the investigated frailty scores were most effective in predicting in-hospital mortality and failure-to-rescue; however, they struggled to predict complications.
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Background: Malignant bowel obstruction (MBO) due to peritoneal carcinomatosis (PC) is associated with poor outcomes. Optimal management for palliation remains unclear. This study aims to characterize nonoperative, procedural, and operative management strategies for MBO and evaluate its association with mortality and cost.Materials and Methods: ICD-10 coding identified patient admissions from the 2018 to 2019 National Inpatient Sample (NIS) for MBO with PC from gastrointestinal or ovarian primary cancers. Management was categorized as nonoperative, procedural, or surgical. Multivariate analysis was used to associate treatment with mortality and cost.Results: 356,316 patient admissions were identified, with a mean age of 63 years. Gender, race, and insurance status were similar among groups. Length of stay (LOS) was longest in the surgical group (surgical: 17 days; procedural: 14 days; nonoperative: 7 days; P = .001). In comparison to nonoperative, procedural and surgical patients had statistically higher hospital charges, post-discharge medical needs, palliative care consults, and admission to rehab centers. Mortality was 7% in nonoperative, 9% in procedural, and 8% in surgical (P = .007) groups. In adjusted analyses, older age, palliative care consult, and non-Medicare payer status were associated with higher mortality. Compared to nonoperative, procedural and surgical groups resulted in increased costs (procedural: $17K more; surgical: $30K more).Conclusions: Admissions for procedural and surgical treatment of MBO are associated with increased LOS, hospital costs, and discharge needs. Optimal management remains challenging. Clinicians must examine all options prior to recommending palliative interventions given a trend towards higher resource utilization and mortality.
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This cross-sectional study assesses whether populations in socioeconomically disadvantaged regions in the US lack timely access to pediatric trauma centers.
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Acessibilidade aos Serviços de Saúde , Centros de Traumatologia , Ferimentos e Lesões , Humanos , Centros de Traumatologia/estatística & dados numéricos , Ferimentos e Lesões/epidemiologia , Criança , Estados Unidos/epidemiologia , Fatores Socioeconômicos , Adolescente , Masculino , Feminino , Pré-Escolar , Disparidades Socioeconômicas em SaúdeRESUMO
OBJECTIVE: Determine the proportion of contemporary US academic general surgery residency program graduates who pursue academic careers and identify factors associated with pursuing academic careers. SUMMARY BACKGROUND DATA: Many academic residency programs aim to cultivate academic surgeons, yet the proportion of contemporary graduates who choose academic careers is unclear. The potential determinants that affect graduates' decisions to pursue academic careers remain underexplored. METHODS: We collected program and individual-level data on 2015 and 2018 graduates across 96 US academic general surgery residency programs using public resources. We defined those pursuing academic careers as faculty within US allopathic medical school-affiliated surgery departments who published two or more peer-reviewed publications as the first or senior author between 2020-2021. After variable selection using sample splitting LASSO regression, multivariable regression evaluated association with pursuing academic careers among all graduates, and graduates of top-20 residency programs. Secondary analysis using multivariable ordinal regression explored factors associated with high research productivity during early faculty years. RESULTS: Among 992 graduates, 166 (17%) were pursuing academic careers according to our definition. Graduating from a top-20 ranked residency program (OR[95%CI]: 2.34[1.40-3.88]), working with a longitudinal research mentor during residency (OR[95%CI]: 2.21[1.24-3.95]), holding an advanced degree (OR[95%CI]: 2.20[1.19-3.99]), and the number of peer-reviewed publications during residency as first or senior author (OR[95%CI]: 1.13[1.07-1.20]) were associated with pursuing an academic surgery career, while the number of peer-reviewed publications before residency was not (OR[95%CI]: 1.08[0.99-1.20]). Among top 20 program graduates, working with a longitudinal research mentor during residency (OR[95%CI]: 0.95[0.43-2.09]) was not associated with pursuing an academic surgery career. The number of peer-reviewed publications during residency as first or senior author was the only variable associated with higher productivity during early faculty years (OR[95%CI]: 1.12[1.07-1.18]). CONCLUSIONS: Our findings suggest programs that aim to graduate academic surgeons may benefit from ensuring trainees receive infrastructural support and demonstrate sustained commitment to research throughout residency. Our results should be interpreted cautiously as the impact of unmeasured confounders is unclear.
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INTRODUCTION: There has been a sharp climb in the Unites States' death rate among opioid and other substance abuse patients, as well as an increased prevalence in gun violence. We aimed to investigate the association between substance abuse and gun violence in a national sample of patients presenting to US emergency departments (EDs). METHODS: We queried the 2018-2019 Nationwide Emergency Department Sample for patients ≥18 years with substance abuse disorders (opioid and other) using International Classification of Diseases, 10th Revision, Clinical Modification codes. Within this sample, we analyzed characteristics and outcomes of patients with firearm-related injuries. The primary outcome was mortality; secondary outcomes were ED charges and length of stay. RESULTS: Among the 25.2 million substance use disorder (SUD) patients in our analysis, 35,306 (0.14%) had a firearm-related diagnosis. Compared to other SUD patients, firearm-SUD patients were younger (33.3 versus 44.7 years, P < 0.001), primarily male (88.6% versus 54.2%, P < 0.001), of lower-income status (0-25th percentile income: 56.4% versus 40.5%, P < 0.001), and more likely to be insured by Medicaid or self-pay (71.6% versus 53.2%, P < 0.001). Firearm-SUD patients had higher mortality (1.4% versus 0.4%, P < 0.001), longer lengths of stay (6.5 versus 4.9 days, P < 0.001), and higher ED charges ($9269 versus $5,164, P < 0.001). Firearm-SUD patients had a 60.3% rate of psychiatric diagnoses. Firearm-SUD patients had 5.5 times greater odds of mortality in adjusted analyses (adjusted odds ratio: 5.5, P < 0.001). CONCLUSIONS: Opioid-substance abuse patients with firearm injuries have higher mortality rates and costs among these groups, with limited discharge to postacute care resources. All these factors together point to the urgent need for improved screening and treatment for this vulnerable group of patients.
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Serviço Hospitalar de Emergência , Transtornos Relacionados ao Uso de Substâncias , Ferimentos por Arma de Fogo , Humanos , Masculino , Feminino , Adulto , Serviço Hospitalar de Emergência/estatística & dados numéricos , Estados Unidos/epidemiologia , Ferimentos por Arma de Fogo/mortalidade , Ferimentos por Arma de Fogo/epidemiologia , Ferimentos por Arma de Fogo/economia , Pessoa de Meia-Idade , Transtornos Relacionados ao Uso de Substâncias/epidemiologia , Adulto Jovem , Tempo de Internação/estatística & dados numéricos , Tempo de Internação/economia , Violência com Arma de Fogo/estatística & dados numéricos , Epidemia de Opioides/estatística & dados numéricos , Adolescente , Transtornos Relacionados ao Uso de Opioides/epidemiologia , Transtornos Relacionados ao Uso de Opioides/mortalidade , Transtornos Relacionados ao Uso de Opioides/economia , Estudos RetrospectivosRESUMO
INTRODUCTION: Nonoperative management (NOM) of uncomplicated appendicitis (UA) has been increasingly utilized in recent years. The aim of this study was to describe nationwide trends of sociodemographic characteristics, outcomes, and costs of patients undergoing medical versus surgical management for UA. METHODS: The 2018-2019 National (Nationwide) Inpatient Sample was queried for adults (age ≥18 y) with UA; diagnosis, as well as laparoscopic and open appendectomy, were defined by the International Classification of Diseases, 10th Revision, Clinical Modification codes. We examined several characteristics, including cost of care and length of hospital stay. RESULTS: Among the 167,125 patients with UA, 137,644 (82.4%) underwent operative management and 29,481 (17.6%) underwent NOM. In bivariate analysis, we found that patients who had NOM were older (53 versus 43 y, P < 0.001) and more likely to have Medicare (33.6% versus 16.1%, P < 0.001), with higher prevalence of comorbidities such as diabetes (7.8% versus 5.5%, P < 0.001). The majority of NOM patients were treated at urban teaching hospitals (74.5% versus 66.3%, P < 0.001). They had longer LOS's (5.4 versus 2.3 d, P < 0.001) with higher inpatient costs ($15,584 versus $11,559, P < 0.001) than those who had an appendectomy. Through logistic regression we found that older patients had up to 4.03-times greater odds of undergoing NOM (95% CI: 3.22-5.05, P < 0.001). CONCLUSIONS: NOM of UA is more commonly utilized in patients with comorbidities, older age, and those treated in teaching hospitals. This may, however, come at the price of longer length of stay and higher costs. Further guidelines need to be developed to clearly delineate which patients could benefit from NOM.
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Apendicectomia , Apendicite , Tempo de Internação , Humanos , Apendicite/cirurgia , Apendicite/economia , Apendicite/terapia , Apendicite/epidemiologia , Adulto , Masculino , Feminino , Pessoa de Meia-Idade , Apendicectomia/economia , Apendicectomia/estatística & dados numéricos , Estados Unidos/epidemiologia , Tempo de Internação/estatística & dados numéricos , Tempo de Internação/economia , Idoso , Adulto Jovem , Adolescente , Laparoscopia/economia , Laparoscopia/estatística & dados numéricos , Estudos Retrospectivos , Tratamento Conservador/economia , Tratamento Conservador/estatística & dados numéricos , Custos Hospitalares/estatística & dados numéricosRESUMO
BACKGROUND: Patients hospitalized after emergency care are at risk for later mental health problems such as depression, anxiety, and posttraumatic stress disorder symptoms. The American College of Surgeons Committee on Trauma standards for verification require Level I and II trauma centers to screen patients at high risk for mental health problems. This study aimed to develop and examine the performance of a novel mental health risk screen for hospitalized patients based on samples that reflect the diversity of the US population. STUDY DESIGN: We studied patients admitted after emergency care to 3 hospitals that serve ethnically, racially, and socioeconomically diverse populations. We assessed risk factors during hospitalization and mental health symptoms at follow-up. We conducted analyses to identify the most predictive risk factors, selected items to assess each risk, and determined the fewest items needed to predict mental health symptoms at follow-up. Analyses were conducted for the entire sample and within 5 ethnic and racial subgroups. RESULTS: Among 1,320 patients, 10 items accurately identified 75% of patients who later had elevated levels of mental health symptoms and 71% of those who did not. Screen performance was good to excellent within each of the ethnic and racial groups studied. CONCLUSIONS: The Hospital Mental Health Risk Screen accurately predicted mental health outcomes overall and within ethnic and racial subgroups. If performance is replicated in a new sample, the screen could be used to screen patients hospitalized after emergency care for mental health risk. Routine screening could increase health and mental health equity and foster preventive care research and implementation.
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Saúde Mental , Transtornos de Estresse Pós-Traumáticos , Humanos , Transtornos de Estresse Pós-Traumáticos/diagnóstico , Transtornos de Estresse Pós-Traumáticos/epidemiologia , Transtornos de Estresse Pós-Traumáticos/etiologia , Centros de Traumatologia , Hospitalização , HospitaisRESUMO
INTRODUCTION: Firearm injury-related hospitalizations in the U.S. cost $900 million annually. Before the Affordable Care Act, government insurance programs covered 41% of the costs. This study describes the impact of Affordable Care Act Medicaid expansion and state-level firearm legislation on coverage and costs for firearm injuries. METHODS: This cross-sectional study included 35,854,586 hospitalizations from 27 states in 2013 and 2016. Data analyses were performed in 2022. Firearm injuries were classified by mechanism: assault, unintentional, self-harm, or undetermined. The impact of the Affordable Care Act expansion was determined using difference-in-differences analysis. Differences in per capita costs between states with stronger and weak firearm legislation were compared using univariable and multivariable analyses. RESULTS: The authors identified 31,451 initial firearm injury-related hospitalizations. In states with weak firearm legislation, hospitalization costs per 100,000 residents were higher from unintentional ($25,834; p=0.04) and self-inflicted ($11,550; p=0.02) injuries; there were no state-level differences in assault or total per capita firearm-related hospitalization costs. Affordable Care Act expansion increased government coverage of costs by 15 percentage points (95% CI=3, 29) and decreased costs to uninsured/self-pay by 14 percentage points (95% CI=6, 21). In 2016, states with weak firearm legislation and no Affordable Care Act expansion had the highest proportion of hospitalization costs attributed to uninsured/self-pay patients (24%, 95% CI=15, 34). CONCLUSIONS: Affordable Care Act expansion increased government coverage of hospitalizations for firearm injuries. Unintentional and self-harm costs were significantly higher for states with weak firearm legislation. States with weak firearm legislation that did not expand Medicaid had the highest proportion of uninsured/self-pay patients.
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Armas de Fogo , Ferimentos por Arma de Fogo , Estados Unidos , Humanos , Medicaid , Patient Protection and Affordable Care Act , Estudos Transversais , Ferimentos por Arma de Fogo/prevenção & controle , Cobertura do SeguroRESUMO
Importance: Quantifying injury severity is integral to trauma care benchmarking, decision-making, and research, yet the most prevalent metric to quantify injury severity-Injury Severity Score (ISS)- is impractical to use in real time. Objective: To develop and validate a practical model that uses a limited number of injury patterns to quantify injury severity in real time through 3 intuitive outcomes. Design, Setting, and Participants: In this cohort study for prediction model development and validation, training, development, and internal validation cohorts comprised 223â¯545, 74â¯514, and 74â¯514 admission encounters, respectively, of adults (age ≥18 years) with a primary diagnosis of traumatic injury hospitalized more than 2 days (2017-2018 National Inpatient Sample). The external validation cohort comprised 3855 adults admitted to a level I trauma center who met criteria for the 2 highest of the institution's 3 trauma activation levels. Main Outcomes and Measures: Three outcomes were hospital length of stay, probability of discharge disposition to a facility, and probability of inpatient mortality. The prediction performance metric for length of stay was mean absolute error. Prediction performance metrics for discharge disposition and inpatient mortality were average precision, precision, recall, specificity, F1 score, and area under the receiver operating characteristic curve (AUROC). Calibration was evaluated using calibration plots. Shapley addictive explanations analysis and bee swarm plots facilitated model explainability analysis. Results: The Length of Stay, Disposition, Mortality (LDM) Injury Index (the model) comprised a multitask deep learning model trained, developed, and internally validated on a data set of 372â¯573 traumatic injury encounters (mean [SD] age = 68.7 [19.3] years, 56.6% female). The model used 176 potential injuries to output 3 interpretable outcomes: the predicted hospital length of stay, probability of discharge to a facility, and probability of inpatient mortality. For the external validation set, the ISS predicted length of stay with mean absolute error was 4.16 (95% CI, 4.13-4.20) days. Compared with the ISS, the model had comparable external validation set discrimination performance (facility discharge AUROC: 0.67 [95% CI, 0.67-0.68] vs 0.65 [95% CI, 0.65-0.66]; recall: 0.59 [95% CI, 0.58-0.61] vs 0.59 [95% CI, 0.58-0.60]; specificity: 0.66 [95% CI, 0.66-0.66] vs 0.62 [95%CI, 0.60-0.63]; mortality AUROC: 0.83 [95% CI, 0.81-0.84] vs 0.82 [95% CI, 0.82-0.82]; recall: 0.74 [95% CI, 0.72-0.77] vs 0.75 [95% CI, 0.75-0.76]; specificity: 0.81 [95% CI, 0.81-0.81] vs 0.76 [95% CI, 0.75-0.77]). The model had excellent calibration for predicting facility discharge disposition, but overestimated inpatient mortality. Explainability analysis found the inputs influencing model predictions matched intuition. Conclusions and Relevance: In this cohort study using a limited number of injury patterns, the model quantified injury severity using 3 intuitive outcomes. Further study is required to evaluate the model at scale.
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Comportamento Aditivo , Hospitalização , Adulto , Humanos , Animais , Abelhas , Feminino , Adolescente , Idoso , Masculino , Estudos de Coortes , Área Sob a Curva , BenchmarkingRESUMO
OBJECTIVE: To develop and validate TraumaICDBERT, a natural language processing algorithm to predict injury ICD-10 diagnosis codes from trauma tertiary survey notes. SUMMARY BACKGROUND DATA: The adoption of ICD-10 diagnosis codes in clinical settings for injury prediction is hindered by the lack of real-time availability. Existing natural language processing algorithms have limitations in accurately predicting injury ICD-10 diagnosis codes. METHODS: Trauma tertiary survey notes from hospital encounters of adults between January 2016 and June 2021 were used to develop and validate TraumaICDBERT, an algorithm based on BioLinkBERT. The performance of TraumaICDBERT was compared to Amazon Web Services Comprehend Medical, an existing natural language processing tool. RESULTS: A dataset of 3,478 tertiary survey notes with 15,762 4-character injury ICD-10 diagnosis codes was analyzed. TraumaICDBERT outperformed Amazon Web Services Comprehend Medical across all evaluated metrics. On average, each tertiary survey note was associated with 3.8 (standard deviation: 2.9) trauma registrar-extracted 4-character injury ICD-10 diagnosis codes. CONCLUSIONS: TraumaICDBERT demonstrates promising initial performance in predicting injury ICD-10 diagnosis codes from trauma tertiary survey notes, potentially facilitating the adoption of downstream prediction tools in clinical settings.
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BACKGROUND: High rates of mental health symptoms such as depression, anxiety, and posttraumatic stress disorder (PTSD) have been found in patients hospitalized with traumatic injuries, but little is known about these problems in patients hospitalized with acute illnesses. A similarly high prevalence of mental health problems in patients hospitalized with acute illness would have significant public health implications because acute illness and injury are both common, and mental health problems of depression, anxiety, and PTSD are highly debilitating. METHODS AND FINDINGS: In patients admitted after emergency care for Acute Illness (N = 656) or Injury (N = 661) to three hospitals across the United States, symptoms of depression, anxiety, and posttraumatic stress were compared acutely (Acute Stress Disorder) and two months post-admission (PTSD). Patients were ethnically/racially diverse and 54% female. No differences were found between the Acute Illness and Injury groups in levels of any symptoms acutely or two months post-admission. At two months post-admission, at least one symptom type was elevated for 37% of the Acute Illness group and 39% of the Injury group. Within racial/ethnic groups, PTSD symptoms were higher in Black patients with injuries than for Black patients with acute illness. A disproportionate number of Black patients had been assaulted. CONCLUSIONS: This study found comparable levels of mental health sequelae in patients hospitalized after emergency care for acute illness as in patients hospitalized after emergency care for injury. Findings of significantly higher symptoms and interpersonal violence injuries in Black patients with injury suggest that there may be important and actionable differences in mental health sequelae across ethnic/racial identities and/or mechanisms of injury or illness. Routine screening for mental health risk for all patients admitted after emergency care could foster preventive care and reduce ethnic/racial disparities in mental health responses to acute illness or injury.
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Saúde Mental , Transtornos de Estresse Pós-Traumáticos , Humanos , Feminino , Masculino , Doença Aguda , Transtornos de Ansiedade , Ansiedade/epidemiologia , Transtornos de Estresse Pós-Traumáticos/epidemiologia , Progressão da DoençaRESUMO
BACKGROUND: Both dementia and frailty have been associated with worse outcomes in patients with hip fractures. However, the interrelation and predictive value of these two entities has yet to be clarified. The current study aimed to investigate the predictive relationship between dementia, frailty, and in-hospital mortality after hip fracture surgery. METHODS: All patients registered in the 2019 National Inpatient Sample Database who were 50 years or older and underwent emergency hip fracture surgery following a traumatic fall were eligible for inclusion. Logistic regression (LR) models were constructed with in-hospital mortality as the response variables. One model was constructed including markers of frailty and one model was constructed excluding markers of frailty [Orthopedic Frailty Score (OFS) and weight loss]. The feature importance of all variables was determined using the permutation importance method. New LR models were then fitted using the top ten most important variables. The area under the receiver-operating characteristic curve (AUC) was used to compare the predictive ability of these models. RESULTS: An estimated total of 216,395 patients were included. Dementia was the 7th most important variable for predicting in-hospital mortality. When the OFS and weight loss were included, they replaced dementia in importance. There was no significant difference in the predictive ability of the models when comparing the model that included markers of frailty [AUC for in-hospital mortality (95% CI) 0.79 (0.77-0.81)] with the model that excluded markers of frailty [AUC for in-hospital mortality (95% CI) 0.79 (0.77-0.80)]. CONCLUSION: Dementia functions as a surrogate for frailty when predicting in-hospital mortality in hip fracture patients. This finding highlights the importance of early frailty screening for improvement of care pathways and discussions with patients and their families in regard to expected outcomes.
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This cohort study assesses geographic distribution of for-profit and not-for-profit trauma centers in the US designated by their states between 2014 and 2018.
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Hospitais com Fins Lucrativos , Centros de Traumatologia , Humanos , Estados UnidosRESUMO
BACKGROUND: The Orthopedic Frailty Score (OFS) has been proposed as a tool for measuring frailty in order to predict short-term postoperative mortality in hip fracture patients. This study aims to validate the OFS using a large national patient register to determine its relationship with adverse outcomes as well as length of stay and cost of hospital stay. METHODS: All adult patients (18 years or older) registered in the 2019 National Inpatient Sample Database who underwent emergency hip fracture surgery following a traumatic fall were eligible for inclusion. The association between the OFS and mortality, complications, and failure-to-rescue (FTR) was determined using Poisson regression models adjusted for potential confounders. The relationship between the OFS and length of stay and cost of hospital stay was instead determined using a quantile regression model. RESULTS: An estimated 227,850 cases met the study inclusion criteria. There was a stepwise increase in the rate of complications, mortality, and FTR for each additional point on the OFS. After adjusting for potential confounding, OFS 4 was associated with an almost ten-fold increase in the risk of in-hospital mortality [adjusted IRR (95% CI): 10.6 (4.02-27.7), p < 0.001], a 38% increased risk of complications [adjusted IRR (95% CI): 1.38 (1.03-1.85), p = 0.032], and an almost 11-fold increase in the risk of FTR [adjusted IRR (95% CI): 11.6 (4.36-30.9), p < 0.001], compared to OFS 0. Patients with OFS 4 also required a day and a half additional care [change in median length of stay (95% CI): 1.52 (0.97-2.08), p < 0.001] as well as cost approximately $5,200 more to manage [change in median cost of stay (95% CI): 5166 (1921-8411), p = 0.002], compared to those with OFS 0. CONCLUSION: Patients with an elevated OFS display a substantially increased risk of mortality, complications, and failure-to-rescue as well as a prolonged and more costly hospital stay.
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Fragilidade , Fraturas do Quadril , Adulto , Humanos , Estados Unidos/epidemiologia , Fragilidade/complicações , Estudos de Coortes , Pacientes Internados , Fatores de Risco , Estudos Retrospectivos , Complicações Pós-Operatórias , Tempo de Internação , Fraturas do Quadril/cirurgia , Fraturas do Quadril/complicaçõesRESUMO
ABSTRACT: Two senior surgeons with active elective surgery practices call on their personal experiences to encourage acute care surgery programs to explore ways to incorporate elective surgery into their practice models. Although there are obstacles, these are not insurmountable problems, potential solutions exist, and this may help protect against burnout.
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Cuidados Críticos , Cirurgia Geral , Cirurgiões , HumanosRESUMO
OBJECTIVE: Characterizing and enumerating rib fractures are critical to informing clinical decisions, yet in-depth characterization is rarely performed because of the manual burden of annotating these injuries on computed tomography (CT) scans. We hypothesized that our deep learning model, FasterRib , could predict the location and percentage displacement of rib fractures using chest CT scans. METHODS: The development and internal validation cohort comprised more than 4,700 annotated rib fractures from 500 chest CT scans within the public RibFrac. We trained a convolutional neural network to predict bounding boxes around each fracture per CT slice. Adapting an existing rib segmentation model, FasterRib outputs the three-dimensional locations of each fracture (rib number and laterality). A deterministic formula analyzed cortical contact between bone segments to compute percentage displacements. We externally validated our model on our institution's data set. RESULTS: FasterRib predicted precise rib fracture locations with 0.95 sensitivity, 0.90 precision, 0.92 f1 score, with an average of 1.3 false-positive fractures per scan. On external validation, FasterRib achieved 0.97 sensitivity, 0.96 precision, and 0.97 f1 score, and 2.24 false-positive fractures per scan. Our publicly available algorithm automatically outputs the location and percent displacement of each predicted rib fracture for multiple input CT scans. CONCLUSION: We built a deep learning algorithm that automates rib fracture detection and characterization using chest CT scans. FasterRib achieved the highest recall and the second highest precision among known algorithms in literature. Our open source code could facilitate FasterRib's adaptation for similar computer vision tasks and further improvements via large-scale external validation. LEVEL OF EVIDENCE: Diagnostic Tests/Criteria; Level III.
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Aprendizado Profundo , Fraturas das Costelas , Humanos , Fraturas das Costelas/diagnóstico , Tomografia Computadorizada por Raios X/métodos , Tórax , Redes Neurais de Computação , Estudos RetrospectivosRESUMO
There are many ways to develop your leadership skills and many ways to be an effective leader. This is one perspective. The best style is the one that works for you and your environment. I would encourage you to spend some time and effort exploring your leadership style, develop new leadership skills, and look for opportunities to serve others.