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BACKGROUND: A prediction model that estimates mortality at admission to the intensive care unit (ICU) is of potential benefit to both patients and society. Logistic regression models like Simplified Acute Physiology Score 3 (SAPS 3) and APACHE are the traditional ICU mortality prediction models. With the emergence of machine learning (machine learning) and artificial intelligence, new possibilities arise to create prediction models that have the potential to sharpen predictive accuracy and reduce the likelihood of misclassification in the prediction of 30-day mortality. METHODS: We used the Swedish Intensive Care Registry (SIR) to identify and include all patients ≥18 years of age admitted to general ICUs in Sweden from 2008 to 2022 with SAPS 3 score registered. Only data collected within 1 h of ICU admission was used. We had 153 candidate predictors including baseline characteristics, previous medical conditions, blood works, physiological parameters, cause of admission, and initial treatment. We stratified the data randomly on the outcome variable 30-day mortality and created a training set (80% of data) and a test set (20% of data). We evaluated several hundred prediction models using multiple ML frameworks including random forest, gradient boosting, neural networks, and logistic regression models. Model performance was evaluated by comparing the receiver operator characteristic area under the curve (AUC-ROC). The best performing model was fine-tuned by optimizing hyperparameters. The model's calibration was evaluated by a calibration belt. Ultimately, we simplified the best performing model with the top 1-20 predictors. RESULTS: We included 296,344 first-time ICU admissions. We found age, Glasgow Coma Scale, creatinine, systolic blood pressure, and pH being the most important predictors. The AUC-ROC was 0.884 in test data using all predictors, specificity 95.2%, sensitivity 47.0%, negative predictive value of 87.9% and positive predictive value of 70.7%. The final model showed excellent calibration. The ICU risk evaluation for 30-day mortality (ICURE) prediction model performed equally well to the SAPS 3 score with only eight variables and improved further with the addition of more variables. CONCLUSION: The ICURE prediction model predicts 30-day mortality rate at first-time ICU admission superiorly compared to the established SAPS 3 score.
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Background: Despite progress in managing cancer in children, adolescents, and young adults (CAYAs), persistent complications may impact their quality of life. This study covers the morbidity and mortality, among CAYAs, with the aim to investigate the influence of socioeconomic factors on outcomes. Methods: This retrospective matched cohort study included the entire Swedish population of individuals under 25 with cancer 1958-2021. The population was identified from the Cancer Register, and controls were paired 1:5 based on age, sex, and residence. Multiple registers provided data on morbidity, mortality, and demographics. Findings: This survey covering 63 years, identified 65,173 CAYAs and matched controls, a total of 378,108 individuals (74% females). CAYAs exhibited a 3.04-times higher risk for subsequent cancer (Odds ratio (OR) 95% confidence interval (CI) 2.92-3.17, p < 0.0001), a 1.23-times higher risk for cardiovascular disease (OR 95% CI 1.20-1.26, p < 0.0001), and a 1.41-times higher risk for external affliction (OR 95% CI 1.34-1.49, p < 0.0001). CAYAs had a higher mortality hazard, and after adjusting for socioeconomic factors, males, individuals born outside Europe, and those with greater sick-leave had a higher association with mortality, while education and marriage showed a beneficial association. Interpretation: The Rebuc study, showed an increased risk for serious complications among young cancer patients in Sweden. Patient-specific variables, demographics, and socioeconomic factors influenced mortality. These results underscore the impact of cancer on the health and lifespan of young individuals and the necessity for further research to address socioeconomic disparities in cancer care. Funding: Grants from the Medical Research Council of Southeast Sweden (FORSS), ALF Grants, Region Ostergotland, and The Swedish Childhood Cancer Fund.
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BACKGROUND: Was it worth it-what is the outcome after the extended ICU (intensive care unit) length of stay for COVID-19 patients? Surprisingly, data on long-term mortality in large cohorts are lacking. We investigate long-term mortality including differences between men and women, as previous studies show that men generally suffer a more severe course of COVID-19 in terms of severity of illness and short-term mortality. METHODS: Nationwide cohort including all adult COVID-19 patients admitted to Swedish ICUs until August 12, 2022. Primary outcome was 360-day mortality after ICU admission. Logistic regression was used to estimate associations between demographics, comorbidities, clinical characteristics and mortality. RESULTS: In total, 8392 patients were included. Median (IQR) age was 63 (52-72) years and the majority (70.1%) were men. Among the 7390 patients with complete 360-day mortality data, 1775 (24.4%) patients died within 30 days, 2125 (28.8%) within 90 days and 2206 (29.8%) within 360 days from ICU admission. 360-day mortality was 27.1% in women and 31.0% in men. Multivariable logistic regression analysis showed increased risk of 360-day mortality in men compared to women (OR: 1.33, 95% CI: 1.17-1.52). Other variables associated with poor 360-day mortality were age, cardiac disease, COPD/asthma, diabetes, immune deficiency, chronic kidney disease, neuromuscular disease, and malignancy. CONCLUSION: This study confirms the increased severity of disease in critically ill men with COVID-19, even in a long-term perspective. However, mortality beyond 90 days was strikingly low, indicating high probability of survival after the acute phase of illness.
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BACKGROUND: The Nordic perioperative and intensive care registries have been built up during the last 25 years to improve quality in intensive and perioperative care. We aimed to describe the Nordic perioperative and intensive care registries and to highlight possibilities and challenges in future research collaboration between these registries. MATERIAL AND METHOD: We present an overview of the following Nordic registries: Swedish Perioperative Registry (SPOR), the Danish Anesthesia Database (DAD), the Finnish Perioperative Database (FIN-AN), the Icelandic Anesthesia Database (IS-AN), the Danish Intensive Care Database (DID), the Swedish Intensive Care Registry (SIR), the Finnish Intensive Care Consortium, the Norwegian Intensive Care and Pandemic Registry (NIPaR), and the Icelandic Intensive Care Registry (IS-ICU). RESULTS: Health care systems and patient populations are similar in the Nordic countries. Despite certain differences in data structure and clinical variables, the perioperative and intensive care registries have enough in common to enable research collaboration. In the future, even a common Nordic registry could be possible. CONCLUSION: Collaboration between the Nordic perioperative and intensive care registries is both possible and likely to produce research of high quality. Research collaboration between registries may have several add-on effects and stimulate international standardization regarding definitions, scoring systems, and benchmarks, thereby improving overall quality of care.
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Sistema de Registros , Humanos , Países Escandinavos y Nórdicos/epidemiología , Finlandia , Bases de Datos FactualesRESUMEN
BACKGROUND: COVID-19 ARDS shares features with non-COVID ARDS but also demonstrates distinct physiological differences. Despite a lack of strong evidence, prone positioning has been advocated as a key therapy for COVID-19 ARDS. The effects of prone position in critically ill patients with COVID-19 are not fully understood, nor is the optimal time of initiation defined. In this nationwide cohort study, we aimed to investigate the association between early initiation of prone position and mortality in mechanically ventilated COVID-19 patients with low oxygenation on ICU admission. METHODS: Using the Swedish Intensive Care Registry (SIR), all Swedish ICU patients ≥ 18 years of age with COVID-19 admitted between March 2020, and April 2021 were identified. A study-population of patients with PaO2/FiO2 ratio ≤ 20 kPa on ICU admission and receiving invasive mechanical ventilation within 24 h from ICU admission was generated. In this study-population, the association between early use of prone position (within 24 h from intubation) and 30-day mortality was estimated using univariate and multivariable logistic regression models. RESULTS: The total study cohort included 6350 ICU patients with COVID-19, of whom 46.4% were treated with prone position ventilation. Overall, 30-day mortality was 24.3%. In the study-population of 1714 patients with lower admission oxygenation (PaO2/FiO2 ratio ≤ 20 kPa), the utilization of early prone increased from 8.5% in March 2020 to 48.1% in April 2021. The crude 30-day mortality was 27.2% compared to 30.2% in patients not receiving early prone positioning. We found no significant association between early use of prone positioning and survival. CONCLUSIONS: During the first three waves of the COVID-19 pandemic, almost half of the patients in Sweden were treated with prone position ventilation. We found no association between early use of prone positioning and survival in patients on mechanical ventilation with severe hypoxemia on ICU admission. To fully elucidate the effect and timing of prone position ventilation in critically ill patients with COVID-19 further studies are desirable.
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COVID-19 , Síndrome de Dificultad Respiratoria , COVID-19/terapia , Estudios de Cohortes , Enfermedad Crítica/epidemiología , Enfermedad Crítica/terapia , Humanos , Pandemias , Prevalencia , Posición Prona , Respiración Artificial/efectos adversosRESUMEN
We present a case of a patient who ingested excessive amounts of the antidepressant Venlafaxine, a Selective Serotonin-Norepinephrine Reuptake Inhibitor (SNRI). She developed cardiogenic shock with clinical and echocardiographic signs of takotsubo syndrome, TTS; a life-threatening condition characterized by a transient regional cardiac dysfunction not solely caused by coronary artery occlusion. The pathogenesis remains unclear but catecholamines play a key role. Venlafaxine increases plasma catecholamine levels and with high probability it was judged to be the trigger for our patient's serious state. Our case study included clinical and laboratory data, as well as a literature review on published cases of SNRI associated TTS. Most cases of TTS fortunately show spontaneous recovery of cardiac function with conservative management and supportive treatment. No evidence-based treatment recommendations exist, but traditional inotropic and vasoactive drugs are considered potentially harmful, which can be a dilemma for the treating clinician, when facing an acutely decompensated TTS patient.
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Cardiomiopatía de Takotsubo , Catecolaminas , Ecocardiografía , Femenino , Humanos , Inhibidores Selectivos de la Recaptación de Serotonina/efectos adversos , Cardiomiopatía de Takotsubo/inducido químicamente , Cardiomiopatía de Takotsubo/diagnóstico , Clorhidrato de Venlafaxina/efectos adversosRESUMEN
BACKGROUND: Mortality among patients admitted to intensive care units (ICUs) with COVID-19 is unclear due to variable follow-up periods. Few nationwide data are available to compare risk factors, treatment and outcomes of COVID-19 patients after ICU admission. OBJECTIVE: To evaluate baseline characteristics, treatments and 30-day outcomes of patients admitted to Swedish ICUs with COVID-19. DESIGN: Registry-based cohort study with prospective data collection. SETTING: Admissions to Swedish ICUs from 6 March to 6 May 2020 with laboratory confirmed COVID-19 disease. PARTICIPANTS: Adult patients admitted to Swedish ICUs. EXPOSURES: Baseline characteristics, intensive care treatments and organ failures. MAIN OUTCOMES AND MEASURES: The primary outcome was 30-day all-cause mortality. A multivariable model was used to determine the independent association between potential predictor variables and death. RESULTS: We identified 1563 patients with complete 30-day follow-up. The 30-day all-cause mortality was 26.7%. Median age was 61 [52 to 69], Simplified Acute Physiology Score III (SAPS III) was 53 [46 to 59] and 62.5% had at least one comorbidity. Median PaO2/FiO2 on admission was 97.5 [75.0 to 140.6] mmHg, 74.7% suffered from moderate-to-severe acute respiratory failure. Age, male sex [adjusted odds ratio (aOR) 1.5 (1.1 to 2.2)], SAPS III score [aOR 1.3 (1.2 to 1.4)], severe respiratory failure [aOR 3.0 (2.0 to 4.7)], specific COVID-19 pharmacotherapy [aOR 1.4 (1.0 to 1.9)] and continuous renal replacement therapy [aOR 2.1 (1.5 to 3.0)] were associated with increased mortality. Except for chronic lung disease, the presence of comorbidities was not independently associated with mortality. CONCLUSIONS: Thirty-day mortality rate in COVID-19 patients admitted to Swedish ICUs is generally lower than previously reported despite a severe degree of hypoxaemia on admission. Mortality was driven by age, baseline disease severity, the presence and degree of organ failure, rather than pre-existing comorbidities. TRIAL REGISTRATION NO: NCT04462393.
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COVID-19/terapia , Mortalidad Hospitalaria , Unidades de Cuidados Intensivos/estadística & datos numéricos , Admisión del Paciente/estadística & datos numéricos , SARS-CoV-2/aislamiento & purificación , Adulto , Anciano , Anciano de 80 o más Años , COVID-19/diagnóstico , COVID-19/mortalidad , Estudios de Cohortes , Femenino , Humanos , Italia/epidemiología , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Sistema de Registros , Suecia/epidemiologíaRESUMEN
BACKGROUND: Questions remain about long-term outcome for COVID-19 patients in general, and differences between men and women in particular given the fact that men seem to suffer a more dramatic course of the disease. We therefore analysed outcome beyond 90 days in ICU patients with COVID-19, with special focus on differences between men and women. METHODS: We identified all patient ≥ 18 years with COVID-19 admitted between March 6 and June 30, 2020, in the Swedish Intensive Care Registry. Patients were followed until death or study end-point October 22, 2020. Association with patient sex and mortality, in addition to clinical variables, was estimated using Cox regression. We also performed a logistic regression model estimating factors associated with 90-day mortality. RESULTS: In total, 2354 patients with COVID-19 were included. Four patients were still in the ICU at study end-point. Median follow-up time was 183 days. Mortality at 90-days was 26.9%, 23.4% in women and 28.2% in men. After 90 days until end of follow-up, only 11 deaths occurred. On multivariable Cox regression analysis, male sex (HR 1.28, 95% CI 1.06-1.54) remained significantly associated with mortality even after adjustments. Additionally, age, COPD/asthma, immune deficiency, malignancy, SAPS3 and admission month were associated with mortality. The logistic regression model of 90-day mortality showed almost identical results. CONCLUSIONS: In this nationwide study of ICU patients with COVID-19, men were at higher risk of poor long-term outcome compared to their female counterparts. The underlying mechanisms for these differences are not fully understood and warrant further studies.
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COVID-19/terapia , Cuidados Críticos , Disparidades en el Estado de Salud , Anciano , COVID-19/mortalidad , Estudios de Cohortes , Femenino , Humanos , Unidades de Cuidados Intensivos , Masculino , Persona de Mediana Edad , Sistema de Registros , Factores de Riesgo , Factores Sexuales , Suecia/epidemiología , Factores de Tiempo , Resultado del TratamientoAsunto(s)
COVID-19/epidemiología , Maestros/estadística & datos numéricos , Instituciones Académicas , Adolescente , Adulto , Niño , Preescolar , Femenino , Humanos , Lactante , Masculino , Persona de Mediana Edad , Riesgo , Suecia/epidemiologíaRESUMEN
BACKGROUND: This study was performed to develop and validate a cardiac surgical intensive care risk adjustment model for mixed cardiac surgery based on a few preoperative laboratory tests, extracorporeal circulation time, and measurements at arrival to the intensive care unit. METHODS: This was a retrospective study of admissions to 5 cardiac surgical intensive care units in Sweden that submitted data to the Swedish Intensive Care Registry. Admissions from 2008 to 2014 (n = 21,450) were used for model development, whereas admissions from 2015 to 2016 (n = 6463) were used for validation. Models were built using logistic regression with transformation of raw values or categorization into groups. RESULTS: The final model showed good performance, with an area under the receiver operating characteristics curve of 0.86 (95% confidence interval, 0.83-0.89), a Cox calibration intercept of -0.16 (95% confidence interval, -0.47 to 0.19), and a slope of 1.01 (95% confidence interval, 0.89-1.13) in the validation cohort. CONCLUSIONS: Eleven variables available on admission to the intensive care unit can be used to predict 30-day mortality after cardiac surgery. The model performance was better than those of general intensive care risk adjustment models used in cardiac surgical intensive care and also avoided the subjective assessment of the cause of admission. The standardized mortality ratio improves over time in Swedish cardiac surgical intensive care.
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Procedimientos Quirúrgicos Cardíacos/mortalidad , Unidades de Cuidados Intensivos , Anciano , Femenino , Humanos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Estudios RetrospectivosRESUMEN
Objective: During the coronavirus disease 2019 (COVID-19) pandemic, baseline demographics and comorbidities of patients with COVID-19 have been presented, but there are limited data on outcomes of severely ill patients. We aimed to examine the association between patient characteristics and 30-day mortality among patients with COVID-19 treated in the intensive care unit (ICU). Design: Population-based cohort study. Setting: ICUs in Sweden. Participants: All consecutive patients with COVID-19 admitted to Swedish ICUs from 6 March to 5 April 2020. Main outcome measures: The primary outcome was 30-day mortality after ICU admission. Patient demographics, comorbidities and clinical characteristics were also retrieved. Results: A total of 604 patients were included. The median age was 61 years (interquartile range [IQR], 52-70 years) and 458 patients (76%) were males. The most common comorbidities were hypertension (35.9%) and diabetes (25.7%), whereas 36.4% of patients had no comorbidities. Median Simplified Acute Physiology Score (SAPS) 3 was 53 (IQR, 46-60). Of 573 patients with available respiratory support data, 487 (85.0%) received invasive mechanical ventilation. Among 518 patients with available data, 117 (22.6%) received renal replacement therapy. Median length of stay was 13 days (IQR, 6-20 days). Mortality at 30 days was 32.6%. In the multivariable Cox regression model, age (hazard ratio [HR] 1.06; 95% CI, 1.04-1.07 per year), the presence of one or more comorbidities (HR, 1.80; 95% CI, 1.20-2.68), chronic obstructive pulmonary disease or asthma (HR, 1.68; 95% CI, 1.12-2.50), hypertension (HR, 1.41; 95% CI, 1.01-1.99), and acute illness severity (SAPS 3 excluding age and comorbidity) (HR, 1.06; 95% CI, 1.04-1.09) were associated with 30-day mortality. Conclusions: This population-based cohort study presents 30-day mortality of 604 ICU patients with COVID-19. The higher mortality was explained by older age, the presence chronic illness, and acute illness severity.
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AIM: This study described the basic characteristics of children aged 0-16 years who were treated in intensive care units (ICUs) and paediatric ICUs (PICUs), compared their outcomes and examined any causes of death. METHODS: This was a retrospective cohort study of admissions to 74 ICUs and three PICUs in Sweden that were recorded in the Swedish Intensive Care Registry from January 1, 2008 to December 31, 2012. RESULTS: We retrieved data on 12 756 children who were admitted 17 003 times. The case mix differed between the ICUs, which were mainly admissions for injuries, accidents and observation, and PICUs, which were mainly admissions for malformations, genetic abnormalities and respiratory problems (p < 0.001). The median stays in the ICUs and PICUs were 1.4 and 3.5 days (p < 0.001), respectively. The respective crude mortality rates were 1.1% and 2.0, and the Paediatric Index of Mortality version 2 standardised mortality ratios were 0.43 and 0.50. None of these differences were significant. Most deaths were within 24 hours: About 57% in the ICUs, mainly from brain anomalies, and 13% in the PICUs, mainly from circulatory problems. CONCLUSION: Sweden had a low mortality rate in both ICUs and PICUs and the children admitted to these two types of unit differed.
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Mortalidad Hospitalaria , Unidades de Cuidado Intensivo Pediátrico/estadística & datos numéricos , Adolescente , Niño , Preescolar , Femenino , Humanos , Lactante , Masculino , SueciaRESUMEN
BACKGROUND: Dispatch of basic life support-trained first responders equipped with automated external defibrillators in addition to advanced life support-trained emergency medical services personnel in out-of-hospital cardiac arrest (OHCA) has, in some minor cohort studies, been associated with improved survival. The aim of this study was to evaluate the association between basic life support plus advanced life support response and survival in OHCA at a national level. METHODS AND RESULTS: This prospective cohort study was conducted from January 1, 2012, to December 31, 2014. People who experienced OHCA in 9 Swedish counties covered by basic life support plus advanced life support response were compared with a propensity-matched contemporary control group of people who experienced OHCA in 12 counties where only emergency medical services was dispatched, providing advanced life support. Primary outcome was survival to 30 days. The analytic sample consisted of 2786 pairs (n=5572) derived from the total cohort of 7308 complete cases. The median time from emergency call to arrival of emergency medical services or first responder was 9 minutes in the intervention group versus 10 minutes in the controls (P<0.001). The proportion of patients admitted alive to the hospital after resuscitation was 31.4% (875/2786) in the intervention group versus 24.9% (694/2786) in the controls (conditional odds ratio, 1.40; 95% confidence interval, 1.24-1.57). Thirty-day survival was 9.5% (266/2786) in the intervention group versus 7.7% (214/2786) in the controls (conditional odds ratio, 1.27; 95% confidence interval, 1.05-1.54). CONCLUSIONS: In this nationwide interventional trial, using propensity score matching, dispatch of first responders in addition to emergency medical services in OHCA was associated with a moderate, but significant, increase in 30-day survival. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT02184468.
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Reanimación Cardiopulmonar , Asesoramiento de Urgencias Médicas , Servicios Médicos de Urgencia , Bomberos , Paro Cardíaco Extrahospitalario/terapia , Policia , Evaluación de Procesos, Atención de Salud , Reanimación Cardiopulmonar/efectos adversos , Reanimación Cardiopulmonar/mortalidad , Desfibriladores , Cardioversión Eléctrica/efectos adversos , Cardioversión Eléctrica/instrumentación , Cardioversión Eléctrica/mortalidad , Mortalidad Hospitalaria , Humanos , Estimación de Kaplan-Meier , Modelos Logísticos , Oportunidad Relativa , Paro Cardíaco Extrahospitalario/diagnóstico , Paro Cardíaco Extrahospitalario/mortalidad , Puntaje de Propensión , Estudios Prospectivos , Factores de Riesgo , Suecia , Factores de Tiempo , Resultado del TratamientoRESUMEN
OBJECTIVES: The Simplified Acute Physiology 3 outcome prediction model has a narrow time window for recording physiologic measurements. Our objective was to examine the prevalence and impact of missing physiologic data on the Simplified Acute Physiology 3 model's performance. DESIGN: Retrospective analysis of prospectively collected data. SETTING: Sixty-three ICUs in the Swedish Intensive Care Registry. PATIENTS: Patients admitted during 2011-2014 (n = 107,310). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Model performance was analyzed using the area under the receiver operating curve, scaled Brier's score, and standardized mortality rate. We used a recalibrated Simplified Acute Physiology 3 model and examined model performance in the original dataset and in a dataset of complete records where missing data were generated (simulated dataset). One or more data were missing in 40.9% of the admissions, more common in survivors and low-risk admissions than in nonsurvivors and high-risk admissions. Discrimination did not decrease with one to two missing variables, but accuracy was highest with no missing data. Calibration was best in the original dataset with a mix of full records and records with some missing values (area under the receiver operating curve was 0.85, scaled Brier 27%, and standardized mortality rate 0.99). With zero, one, and two data missing, the scaled Brier was 31%, 26%, and 21%; area under the receiver operating curve was 0.84, 0.87, and 0.89; and standardized mortality rate was 0.92, 1.05 and 1.10, respectively. Datasets where the missing data were simulated for oxygenation or oxygenation and hydrogen ion concentration together performed worse than datasets with these data originally missing. CONCLUSIONS: There is a coupling between missing physiologic data, admission type, low risk, and survival. Increased loss of physiologic data reduced model performance and will deflate mortality risk, resulting in falsely high standardized mortality rates.
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Exactitud de los Datos , Pruebas Diagnósticas de Rutina/normas , Unidades de Cuidados Intensivos/estadística & datos numéricos , Unidades de Cuidados Intensivos/normas , Puntuación Fisiológica Simplificada Aguda , Adulto , Anciano , Femenino , Mortalidad Hospitalaria , Humanos , Masculino , Persona de Mediana Edad , Pronóstico , Estudios Retrospectivos , Factores de Riesgo , SueciaRESUMEN
OBJECTIVES: To examine ICU performance based on the Simplified Acute Physiology Score 3 using 30-day, 90-day, or 180-day mortality as outcome measures and compare results with 30-day mortality as reference. DESIGN: Retrospective cohort study of ICU admissions from 2010 to 2014. SETTING: Sixty-three Swedish ICUs that submitted data to the Swedish Intensive Care Registry. PATIENTS: The development cohort was first admissions to ICU during 2011-2012 (n = 53,546), and the validation cohort was first admissions to ICU during 2013-2014 (n = 57,729). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Logistic regression was used to develop predictive models based on a first level recalibration of the original Simplified Acute Physiology Score 3 model but with 30-day, 90-day, or 180-day mortality as measures of outcome. Discrimination and calibration were excellent for the development dataset. Validation in the more recent 2013-2014 database showed good discrimination (C-statistic: 0.85, 0.84, and 0.83 for the 30-, 90-, and 180-d models, respectively), and good calibration (standardized mortality ratio: 0.99, 0.99, and 1.00; Hosmer-Lemeshow goodness of fit H-statistic: 66.4, 63.7, and 81.4 for the 30-, 90-, and 180-d models, respectively). There were modest changes in an ICU's standardized mortality ratio grouping (< 1.00, not significant, > 1.00) when follow-up was extended from 30 to 90 days and 180 days, respectively; about 11-13% of all ICUs. CONCLUSIONS: The recalibrated Simplified Acute Physiology Score 3 hospital outcome prediction model performed well on long-term outcomes. Evaluation of ICU performance using standardized mortality ratio was only modestly sensitive to the follow-up time. Our results suggest that 30-day mortality may be a good benchmark of ICU performance. However, the duration of follow-up must balance between what is most relevant for patients, most affected by ICU care, least affected by administrative policies and practically feasible for caregivers.
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Mortalidad Hospitalaria , Unidades de Cuidados Intensivos , Modelos Estadísticos , Evaluación de Resultado en la Atención de Salud , Puntuación Fisiológica Simplificada Aguda , Anciano , Benchmarking , Estudios de Cohortes , Femenino , Humanos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Estudios Retrospectivos , SueciaRESUMEN
INTRODUCTION: Mortality amongst COPD patients treated on the ICU is high. Health-related quality of life (HRQL) after intensive care is a relevant concern for COPD patients, their families and providers of health care. Still, there are few HRQL studies after intensive care of this patient group. Our hypothesis was that HRQL of COPD patients treated on the ICU declines rapidly with time. METHODS: Fifty-one COPD patients (COPD-ICU group) with an ICU stay longer than 24 hours received a questionnaire at 6, 12 and 24 months after discharge from ICU. HRQL was measured using two generic instruments: the EuroQoL instrument (EQ-5D and EQ-VAS) and the Short Form 36 Health Survey (SF-36). The results were compared to HRQL of two reference groups from the general population; an age- and sex-adjusted reference population (Non-COPD reference) and a reference group with COPD (COPD reference). RESULTS: HRQL of the COPD-ICU group at 6 months after discharge from ICU was lower compared to the COPD reference group: Median EQ-5D was 0.66 vs. 0.73, P = 0.08 and median EQ-VAS was 50 vs.55, P < 0.05. There were no significant differences in the SF-36 dimensions between the COPD-ICU and COPD-reference groups, although the difference in physical functioning (PF) approached statistical significance (P = 0.059). Patients in the COPD-ICU group who were lost to follow-up after 6 months had low HRQL scores at 6 months. Scores for patients who died were generally lower compared to patients who failed to respond to the questionnaire. The PF and social functioning (SF) scores in those who died were significantly lower compared to patients with a complete follow up. HRQL of patients in the COPD-ICU group that survived a complete 24 months follow up was low but stable with no statistically significant decline from 6 to 24 months after ICU discharge. Their HRQL at 24 months was not significantly different from HRQL in the COPD reference group. CONCLUSIONS: HRQL in COPD survivors after intensive care was low but did not decline from 6 to 24 months after discharge from ICU. Furthermore, HRQL at 24 months was similar to patients with COPD who had not received ICU treatment.
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Estado de Salud , Unidades de Cuidados Intensivos/tendencias , Enfermedad Pulmonar Obstructiva Crónica/diagnóstico , Calidad de Vida , Sobrevivientes , Anciano , Anciano de 80 o más Años , Femenino , Estudios de Seguimiento , Humanos , Estudios Longitudinales , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Enfermedad Pulmonar Obstructiva Crónica/psicología , Enfermedad Pulmonar Obstructiva Crónica/terapia , Calidad de Vida/psicología , Sobrevivientes/psicologíaRESUMEN
BACKGROUND AND PURPOSE: Early initiated treatment of stroke increases the chances of a good recovery. This randomized controlled study evaluates how an increased priority level for patients with stroke, from level 2 to 1, from the Emergency Medical Communication Center influences thrombolysis frequency, time to stroke unit, and whether other medical emergencies reported negative consequences. METHODS: Patients aged 18 to 85 years in Stockholm, Sweden, with symptoms of stroke within 6 hours were randomized from the Emergency Medical Communication Center or emergency medical services to an intervention group, priority level 1, immediate call of an ambulance, or to a control group with standard priority level, that is, priority level 2 (within 30 minutes). Before study start, an educational program on identification of stroke and importance of early initiated treatment was directed to all medical dispatchers and ambulance and emergency department personnel. RESULTS: During 2008, 942 patients were randomized of which 53% (n=496) had a final stroke/transient ischemic attack diagnosis. Patients in the Emergency Medical Communication Center randomized intervention group reached the stroke unit 26 minutes earlier than the control group (P<0.001) after the emergency call. Thrombolysis was given to 24% of the patients in the intervention group compared with 10% of the control subjects (P<0.001). The higher priority level showed no negative effect on other critical ill patients requiring priority level 1 prehospital attention. CONCLUSIONS: This randomized study shows negligible harm to other medical emergencies, a significant increase in thrombolysis frequency, and a shorter time to the stroke unit for patients with stroke upgraded to priority level 1 from the Emergency Medical Communication Center and through the acute chain of stroke care.
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Servicios Médicos de Urgencia/métodos , Fibrinolíticos/uso terapéutico , Unidades Hospitalarias/estadística & datos numéricos , Accidente Cerebrovascular/tratamiento farmacológico , Terapia Trombolítica , Transporte de Pacientes/estadística & datos numéricos , Triaje/métodos , Adulto , Anciano , Anciano de 80 o más Años , Femenino , Personal de Salud/educación , Humanos , Masculino , Persona de Mediana Edad , Accidente Cerebrovascular/diagnóstico , Suecia , Factores de Tiempo , Resultado del TratamientoAsunto(s)
Cuidados Críticos/estadística & datos numéricos , Mortalidad Hospitalaria , Ajuste de Riesgo , APACHE , Algoritmos , Causas de Muerte , Comorbilidad , Grupos Diagnósticos Relacionados/estadística & datos numéricos , Femenino , Humanos , Masculino , Admisión del Paciente/estadística & datos numéricos , Modelos de Riesgos Proporcionales , Indicadores de Calidad de la Atención de Salud , Sistema de Registros , Suecia/epidemiologíaRESUMEN
BACKGROUND: Emergency medical dispatchers give instructions on how to perform cardiopulmonary resuscitation (CPR) over the telephone to callers requesting help for a patient with suspected cardiac arrest, before the arrival of emergency medical services (EMS) personnel. A previous study indicated that instructions to perform CPR consisting of only chest compression result in a treatment efficacy that is similar or even superior to that associated with instructions given to perform standard CPR, which consists of both compression and ventilation. That study, however, was not powered to assess a possible difference in survival. The aim of this prospective, randomized study was to evaluate the possible superiority of compression-only CPR over standard CPR with respect to survival. METHODS: Patients with suspected, witnessed, out-of-hospital cardiac arrest were randomly assigned to undergo either compression-only CPR or standard CPR. The primary end point was 30-day survival. RESULTS: Data for the primary analysis were collected from February 2005 through January 2009 for a total of 1276 patients. Of these, 620 patients had been assigned to receive compression-only CPR and 656 patients had been assigned to receive standard CPR. The rate of 30-day survival was similar in the two groups: 8.7% (54 of 620 patients) in the group receiving compression-only CPR and 7.0% (46 of 656 patients) in the group receiving standard CPR (absolute difference for compression-only vs. standard CPR, 1.7 percentage points; 95% confidence interval, -1.2 to 4.6; P=0.29). CONCLUSIONS: This prospective, randomized study showed no significant difference with respect to survival at 30 days between instructions given by an emergency medical dispatcher, before the arrival of EMS personnel, for compression-only CPR and instructions for standard CPR in patients with suspected, witnessed, out-of-hospital cardiac arrest. (Funded by the Swedish HeartLung Foundation and others; Karolinska Clinical Trial Registration number, CT20080012.)
Asunto(s)
Reanimación Cardiopulmonar/métodos , Paro Cardíaco/terapia , Respiración Artificial , Adulto , Anciano , Distribución de Chi-Cuadrado , Sistemas de Comunicación entre Servicios de Urgencia , Femenino , Paro Cardíaco/mortalidad , Humanos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Tasa de Supervivencia , VoluntariosRESUMEN
OBJECTIVES: Our purpose with this investigation was to (i) estimate how often telephone-guided cardiopulmonary resuscitation was offered from emergency medical service dispatchers in Stockholm, (ii) study the willingness to perform cardiopulmonary resuscitation, and (iii) assess factors that could mislead the dispatcher in identifying the patient as a cardiac arrest victim. METHODS: In this prospective study, 313 consecutive emergency calls of out-of-hospital cardiac arrest were obtained from the Swedish Cardiac Arrest Register. Seventy-six cases of out-of-hospital cardiac arrest fulfilled the inclusion criteria. All alarm calls were tape-recorded and analyzed according to a standardized protocol. RESULTS: Dispatchers offered bystanders telephone instructions for cardiopulmonary resuscitation in 47% (n=36) of the cases and, among these, cardiopulmonary resuscitation instructions were given in 69% (n=25). Only 6% (n=2) of bystanders were not willing to perform cardiopulmonary resuscitation. Signs of breathing (suspected agonal breathing) were described in 45% of the cases. Cardiopulmonary resuscitation was offered to 23% (n=10) of patients with signs of breathing versus 92% (n=23) of those who were not breathing (P<0.001). CONCLUSIONS: Despite the fact that the vast majority of bystanders are willing to take part in telephone-guided cardiopulmonary resuscitation, emergency medical service dispatchers offer telephone-guided cardiopulmonary resuscitation in about only half of cases. Signs of breathing (agonal breathing) are often mistaken for normal breathing and are a cause of delay in the diagnosis of cardiac arrest.