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Background: Dizziness is a frequent presentation in patients presenting to emergency departments (EDs), often triggering extensive work-up, including neuroimaging. Therefore, gathering knowledge on final diagnoses and outcomes is important. We aimed to describe the incidence of dizziness as primary or secondary complaint, to list final diagnoses, and to determine the use and yield of neuroimaging and outcomes in these patients. Methods: Secondary analysis of two observational cohort studies, including all patients presenting to the ED of the University Hospital of Basel from 30th January 2017-19th February 2017 and from 18th March 2019-20th May 2019. Baseline demographics, Emergency Severity Index (ESI), hospitalization, admission to Intensive Care Units (ICUs), and mortality were extracted from the electronic health record database. At presentation, patients underwent a structured interview about their symptoms, defining their primary and secondary complaints. Neuroimaging results were obtained from the picture archiving and communication system (PACS). Patients were categorized into three non-overlapping groups: dizziness as primary complaint, dizziness as secondary complaint, and absence of dizziness. Results: Of 10076 presentations, 232 (2.3%) indicated dizziness as their primary and 984 (9.8%) as their secondary complaint. In dizziness as primary complaint, the three (out of 73 main conditions defined) main diagnoses were nonspecific dizziness (47, 20.3%), dysfunction of the peripheral vestibular system (37, 15.9%), as well as somatization, depression, and anxiety (20, 8.6%). 104 of 232 patients (44.8%) underwent neuroimaging, with relevant findings in 5 (4.8%). In dizziness as primary complaint 30-day mortality was 0%. Conclusion: Work-up for dizziness in emergency presentations has to consider a broad differential diagnosis, but due to the low yield, it should include neuroimaging only in few and selected cases, particularly with additional neurological abnormalities. Presentation with primary dizziness carries a generally favorable prognosis lacking short-term mortality. .
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Ansiedad , Mareo , Humanos , Trastornos de Ansiedad , Bases de Datos Factuales , Diagnóstico DiferencialRESUMEN
BACKGROUND: Cognitive impairment (CI) is common among older patients presenting to the emergency department (ED). The failure to recognize CI at ED presentation constitutes a high risk of additional morbidity, mortality, and functional decline. The Clock Drawing Test (CDT) is a well-established cognitive screening test. AIM: In patients presenting to the ED with non-specific complaints (NSCs), we aimed to investigate the usability of the CDT and its prognostic value regarding length of hospital stay (LOS) and mortality. METHOD: Secondary analysis of the Basel Non-specific Complaints (BANC) trial, a prospective delayed type cross-sectional study with a 30-day follow-up. In three EDs, patients presenting with NSCs were enrolled. The CDT was administered at enrollment. RESULTS: In the 1,278 patients enrolled, median age was 81 [74, 87] years and 782 were female (61.19%). A valid CDT was obtained in 737 (57.7%) patients. In patients without a valid CDT median LOS was higher (29 [9, 49] days vs. 22 [9, 45] days), and 30-day mortality was significantly higher than in patients with a valid CDT (n = 45 (8.32%) vs. n = 39 (5.29%)). Of all valid CDTs, 154 clocks (20.9%) were classified as normal, 55 (7.5%) as mildly deficient, 297 (40.3%) as moderately deficient, and 231 (31.3%) as severely deficient. Mortality and LOS increased along with the CDT deficits (p = 0.012 for 30-day mortality; p < 0.001 for LOS). CONCLUSION: The early identification of patients with CI may lead to improved patient management and resource allocation. The CDT could be used as a risk stratification tool for older ED patients presenting with NSCs, as it is a predictor for 30-day mortality and LOS.
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Disfunción Cognitiva , Servicio de Urgencia en Hospital , Tiempo de Internación , Humanos , Femenino , Masculino , Anciano , Disfunción Cognitiva/diagnóstico , Estudios Prospectivos , Anciano de 80 o más Años , Pronóstico , Estudios Transversales , Tiempo de Internación/estadística & datos numéricos , Pruebas NeuropsicológicasRESUMEN
Patients with nonspecific complaints (NSC) presenting to the emergency department (ED) are at risk of life-threatening conditions. New stress biomarkers such as the midregional portion of adrenomedullin (MR-proADM) promise to support decision-making. This study tested the following hypotheses: biomarker-assisted disposition of patients with NSC will not increase mortality. Second, discharge from the ED will increase if clinical risk assessment is combined with low MR-proADM levels. Third, inappropriate disposition to a lower level of care will decrease, if clinical assessment is combined with high MR-proADM levels, and fourth that this algorithm is feasible in the ED setting. Prospective, multicenter, randomized, controlled interventional feasibility study with a 30-day follow-up, including patients with NSC. Patients were randomly assigned to either the standard group (decision-making solely based on clinical assessment) or the Novum group (biomarker-assisted). Regarding disposition, patients were assigned to 1 of 3 risk classes: high-risk (admission to hospital), intermediate risk (community geriatric hospital), and low-risk patients (discharge). In the Novum group, in addition to clinical risk assessment, the information of the MR-proADM level was used. Unless there were overruling criteria, patients were transferred or discharged according to the risk assessment. Primary endpoint was 30-day mortality. Secondary endpoints were comparisons of patient disposition and related mortality rates, ED, and hospital length of stay and readmission. The final study cohort consisted of 398 patients (210 in the Standard group and 188 in the Novum group). Overruling, that is, disposition not according to the result of the proposed algorithm occurred in 51 cases. Baseline characteristics between Standard and Novum groups were similar. The mortality rate in the Novum group was 4.3%, as compared to the Standard group mortality of 6.2%, which was not significantly different (intention-to treat analysis). This was confirmed by the perprotocol analysis as well as by sensitivity analysis. For the secondary endpoints, no significant differences were detected. Biomarker-assisted disposition is safe in patients with NSC. Discharge rates did not increase. Feasibility could only partly be shown due to an unexpectedly high overruling rate. Inappropriate disposition to lower levels of care did not change. ClinicalTrials. gov Identifier: NCT00920491.
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Adrenomedulina/sangre , Toma de Decisiones , Servicio de Urgencia en Hospital/organización & administración , Anciano , Anciano de 80 o más Años , Algoritmos , Biomarcadores , Femenino , Humanos , Masculino , Persona de Mediana Edad , Proyectos Piloto , Estudios Prospectivos , Medición de Riesgo , Signos VitalesRESUMEN
OBJECTIVES: Patients presenting to the emergency department (ED) with nonspecific complaints are difficult to accurately triage, risk stratify, and diagnose. This can delay appropriate treatment. The extent to which key medical outcomes are at all predictable in these patients, and which (if any) predictors are useful, has previously been unclear. To investigate these questions, we tested an array of statistical and machine learning models in a large group of patients and estimated the predictability of mortality (which occurred in 6.6% of our sample of patients), acute morbidity (58%), and presence of acute infectious disease (28.2%). METHODS: To investigate whether the best available tools can predict the three key outcomes, we fed data from a sample of 1,278 ED patients with nonspecific complaints into 17 state-of-the-art statistical and machine learning models. The patient sample stems from a diagnostic multicenter study with prospective 30-day follow-up conducted in Switzerland. Predictability of the three key medical outcomes was quantified by computing the area under the receiver operating characteristic curve (AUC) for each model. RESULTS: The models performed at different levels but, on average, the predictability of the target outcomes ranged between 0.71 and 0.82. The better models clearly outperformed physicians' intuitive judgments of how ill patients looked (AUC = 0.67 for mortality, 0.65 for morbidity, and 0.60 for infectious disease). CONCLUSIONS: Modeling techniques can be used to derive formalized models that, on average, predict the outcomes of mortality, acute morbidity, and acute infectious disease in patients with nonspecific complaints with a level of accuracy far beyond chance. The models also predicted these outcomes more accurately than did physicians' intuitive judgments of how ill the patients look; however, the latter was among the small set of best predictors for mortality and acute morbidity. These results lay the groundwork for further refining triage and risk stratification tools for patients with nonspecific complaints. More research, informed by whether the goal of a model is high sensitivity or high specificity, is needed to develop readily applicable clinical decision support tools (e.g., decision trees) that could be supported by electronic health records.
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Enfermedades Transmisibles/diagnóstico , Toma de Decisiones Asistida por Computador , Servicio de Urgencia en Hospital/estadística & datos numéricos , Mortalidad Hospitalaria , Morbilidad , Enfermedad Aguda , Adulto , Anciano , Algoritmos , Árboles de Decisión , Femenino , Humanos , Aprendizaje Automático , Masculino , Persona de Mediana Edad , Médicos , Probabilidad , Estudios Prospectivos , Curva ROC , SuizaRESUMEN
The prevalence of diagnoses, morbidity, and mortality of patients with nonspecific complaints (NSC) presenting to the emergency department (ED) is unknown.To determine the prevalence of diagnoses, acute morbidity, and mortality of patients with NSC.Prospective observational study with a 30-day follow-up. Patients presenting to 2 EDs were enrolled by a study team and diagnosed according to the World Health Organization ICD-10 System.Of 217,699 presentations to the ED from May 2007 through to February 2011, a total of 1300 patients were enrolled. After exclusion of 90 patients who fulfilled exclusion criteria, 1210 patients were analyzed. No patient was lost to follow-up. In patients with NSC, the underlying diseases were spread throughout 18 chapters of the ICD-10. A total of 58.7% of the patients were diagnosed with acute morbidity. Thirty-day mortality was 6.4% overall. Patients with acute morbidity and suffering from heart failure and pneumonia had mortalities >15%; patients lacking acute morbidity, but suffering from functional impairment or depression/anxiety had mortalities of 0%. Although the history did not allow any prediction, age and sex were predictive of morbidity and mortality.The differential diagnoses in patients presenting with NSC is broad. Acute morbidity and mortality were high in the presented cohort, the predictors of morbidity and mortality being age and sex rather than the nature of the complaints. Urgently needed management strategies could be based on these results.ClinicalTrials.gov (#NCT00920491).
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Enfermedad/etiología , Servicio de Urgencia en Hospital/estadística & datos numéricos , Factores de Edad , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Masculino , Mortalidad , Prevalencia , Estudios Prospectivos , Factores Sexuales , Suiza/epidemiologíaRESUMEN
OBJECTIVE: To determine the proportion of correct emergency department (ED) diagnoses and of hospital discharge diagnoses, in comparison with final diagnoses at the end of a 30-day follow-up, in patients presenting with nonspecific complaints (NSCs) to the ED; to determine differences between male and female patients in the proportion of missed diagnoses. METHODS: Prospective observational study. Diagnoses made at the ED, hospital discharge diagnoses, and final diagnoses were compared. RESULTS: Of 22,782 nontrauma patients presenting to the ED from May 2007 until May 2009, 9,926 were triaged as emergency severity index level 2 or 3, of whom 789 presented with NSCs. After exclusion of 217 patients, 572 were included for final analysis. The final diagnosis at the end of follow-up was taken to be the correct "gold standard" diagnosis. In 263 (46.0%) patients, this corresponded to the primary ED diagnosis, and in 292 (51%) patients to the hospital discharge diagnosis. The most frequent final diagnoses were urinary tract infections (n=49), electrolyte disorders (n=40) and pneumonia (n=37), and were correctly diagnosed at the ED in 23, 21 and 27 patients, respectively. Of the twelve most common diagnoses (corresponding to 354 patients), functional impairment was most frequently missed. Among these 354 patients, diagnoses were significantly more often missed in women than in men (142 of 231 [62%] women vs 57 of 123 [46%] men, p=0.004). CONCLUSION: Patients presenting to the ED with NSCs present a diagnostic challenge. New diagnostic tools are needed to help in the diagnosis of these patients.