Trends in prescribing patterns of antiepileptic drugs among older adult inpatients in a Brazilian tertiary center.

BACKGROUND: Data on prescribing patterns of antiepileptic drugs (AEDs) to older adult inpatients are limited. OBJECTIVE: To assess changes in prescribing patterns of AEDs to older adult inpatients with late-onset epilepsy between 2009-2010 and 2015-2019, and to interpret any unexpected patterns over the 2015-2019 period. METHODS: Patients aged ≥60 years with late-onset epilepsy from a tertiary center were selected. Demographic data, seizure characteristics and etiology, comorbidities, and comedications were analyzed, in addition to prescription regimens of inpatients taking AEDs to treat epilepsy. AED regimens were categorized into two groups: group 1 included appropriate AEDs (carbamazepine, oxcarbazepine, valproic acid, gabapentin, clobazam, lamotrigine, levetiracetam, topiramate, and lacosamide); and group 2 comprised suboptimal AEDs (phenytoin and phenobarbital). Multivariate logistic regression analysis was performed to identify risk factors for prescription of suboptimal AEDs. RESULTS: 134 patients were included in the study (mean age: 77.2±9.6 years). A significant reduction in the prescription of suboptimal AEDs (from 73.3 to 51.5%; p<0.001) was found; however, phenytoin remained the most commonly prescribed AED to older adult inpatients. We also found an increase in the prescription of lamotrigine (from 5.5 to 33.6%) and levetiracetam (from 0 to 29.1%) over time. Convulsive status epilepticus (SE) and acute symptomatic seizures associated with remote and progressive etiologies were risk factors for the prescription of suboptimal AEDs. CONCLUSIONS: Phenytoin was the main suboptimal AED prescribed in our population, and convulsive SE and acute symptomatic seizures associated with some etiologies were independent risk factors for phenytoin prescription. These results suggest ongoing commitment to reducing the prescription of suboptimal AEDs, particularly phenytoin in Brazilian emergence rooms.

Multimorbidity and associated outcomes among older adult inpatients with neurological disorders.

BACKGROUND: Multimorbidity is common among adults and associated with socioeconomic deprivation, polypharmacy, poor quality of life, functional impairment, and mortality. OBJECTIVES: To identify the frequency of multimorbidity among older adults inpatients with neurological disorders (NDs), stratify clusters of chronic comorbidities associated with NDs in degrees, and verify whether multimorbidity was associated with demographic data, readmission, long length of hospital stay (LOS), and hospital mortality in this population. METHODS: We enrolled patients aged ≥60 years successively admitted to a tertiary medical center with NDs between January 1, 2009, and December 31, 2010. RESULTS: Overall, 1,154 NDs and 2,679 comorbidities were identified among 798 inpatients aged ≥60 years (mean: 75.76±9.12). Women comprised 435 (54.51%) of patients. Multimorbidity was detected in 92.61% (739) of patients, with a mean of 3.88±1.67 (median: 4.0), ranging from 2 to 10 chronic diseases. Patients with epilepsy, dementia, and movement disorders had the highest degrees of clusters of chronic morbidities (>50% of them with ≥5 chronic disorders), followed by those with cerebrovascular and neuromuscular disorders. Multimorbidity was associated with long LOS (p<0.001) and readmission (p=0.039), but not with hospital mortality (p=0.999). CONCLUSIONS: Multimorbidity was preponderant among older adults inpatients with NDs, and NDs had a high degree of associated chronic comorbidities. Multimorbidity, but not isolated NDs, was associated with readmission and long LOS. These results support ward-based, neurohospitalist-directed, interdisciplinary care for older adults inpatients with NDs to face multimorbidity.

Multimorbidity and associated outcomes among older adult inpatients with neurological disorders / Multimorbidade e desfechos associados entre idosos hospitalizados com doenças neurológicas

ABSTRACT Background: Multimorbidity is common among adults and associated with socioeconomic deprivation, polypharmacy, poor quality of life, functional impairment, and mortality. Objectives: To identify the frequency of multimorbidity among older adults inpatients with neurological disorders (NDs), stratify clusters of chronic comorbidities associated with NDs in degrees, and verify whether multimorbidity was associated with demographic data, readmission, long length of hospital stay (LOS), and hospital mortality in this population. Methods: We enrolled patients aged ≥60 years successively admitted to a tertiary medical center with NDs between January 1, 2009, and December 31, 2010. Results: Overall, 1,154 NDs and 2,679 comorbidities were identified among 798 inpatients aged ≥60 years (mean: 75.76±9.12). Women comprised 435 (54.51%) of patients. Multimorbidity was detected in 92.61% (739) of patients, with a mean of 3.88±1.67 (median: 4.0), ranging from 2 to 10 chronic diseases. Patients with epilepsy, dementia, and movement disorders had the highest degrees of clusters of chronic morbidities (>50% of them with ≥5 chronic disorders), followed by those with cerebrovascular and neuromuscular disorders. Multimorbidity was associated with long LOS (p<0.001) and readmission (p=0.039), but not with hospital mortality (p=0.999). Conclusions: Multimorbidity was preponderant among older adults inpatients with NDs, and NDs had a high degree of associated chronic comorbidities. Multimorbidity, but not isolated NDs, was associated with readmission and long LOS. These results support ward-based, neurohospitalist-directed, interdisciplinary care for older adults inpatients with NDs to face multimorbidity.

RESUMO Introdução: A multimorbidade é comum entre idosos e está associada a privação socioeconômica, polifarmácia, má qualidade de vida, déficit funcional e mortalidade. Objetivos: Identificar a frequência da multimorbidade entre pacientes idosos hospitalizados com doenças neurológicas (DN), estratificar combinações de comorbidades crônicas associadas às DN em graus e verificar se a multimorbidade foi associada a dados demográficos, readmissão, longo tempo de internação (TDI) e mortalidade hospitalar nessa população. Métodos: Foram incluídos pacientes com ≥60 anos sucessivamente admitidos com DN em um centro médico terciário entre 1º de janeiro de 2009 e 31 de dezembro de 2010. Resultados: Um total de 1.154 DN e 2.679 comorbidades foram identificados entre 798 pacientes com idade ≥60 anos (média: 75,76±9,12). Mulheres representaram 435 (54,51%) dos pacientes. A multimorbidade foi detectada em 92,61% (739) dos pacientes (média de 3,88±1,67; mediana de 4), variando de 2 a 10 doenças crônicas. Pacientes com epilepsia, demência e distúrbios do movimento apresentaram os maiores graus de morbidades crônicas (>50% deles com ≥5 doenças crônicas), seguidos por doenças cerebrovasculares e neuromusculares. A multimorbidade foi associada com longo TDI (p<0,001) e readmissão (p=0,039), mas não com mortalidade hospitalar (p=0,999). Conclusões: A multimorbidade foi preponderante entre os pacientes idosos internados com DN, as quais tiveram altos graus de comorbidades crônicas. A multimorbidade, mas não as DN isoladas, foi associada a readmissões e longo TDI. Esses resultados respaldam uma assistência interdisciplinar para idosos hospitalizados com DN em enfermarias lideradas por neurologistas hospitalistas para enfrentar a multimorbidade.

Trends in prescribing patterns of antiepileptic drugs among older adult inpatients in a Brazilian tertiary center / Tendências no padrão de prescrição de drogas antiepilépticas em idosos internados em um centro terciário brasileiro

ABSTRACT Background: Data on prescribing patterns of antiepileptic drugs (AEDs) to older adult inpatients are limited. Objective: To assess changes in prescribing patterns of AEDs to older adult inpatients with late-onset epilepsy between 2009-2010 and 2015-2019, and to interpret any unexpected patterns over the 2015-2019 period. Methods: Patients aged ≥60 years with late-onset epilepsy from a tertiary center were selected. Demographic data, seizure characteristics and etiology, comorbidities, and comedications were analyzed, in addition to prescription regimens of inpatients taking AEDs to treat epilepsy. AED regimens were categorized into two groups: group 1 included appropriate AEDs (carbamazepine, oxcarbazepine, valproic acid, gabapentin, clobazam, lamotrigine, levetiracetam, topiramate, and lacosamide); and group 2 comprised suboptimal AEDs (phenytoin and phenobarbital). Multivariate logistic regression analysis was performed to identify risk factors for prescription of suboptimal AEDs. Results: 134 patients were included in the study (mean age: 77.2±9.6 years). A significant reduction in the prescription of suboptimal AEDs (from 73.3 to 51.5%; p<0.001) was found; however, phenytoin remained the most commonly prescribed AED to older adult inpatients. We also found an increase in the prescription of lamotrigine (from 5.5 to 33.6%) and levetiracetam (from 0 to 29.1%) over time. Convulsive status epilepticus (SE) and acute symptomatic seizures associated with remote and progressive etiologies were risk factors for the prescription of suboptimal AEDs. Conclusions: Phenytoin was the main suboptimal AED prescribed in our population, and convulsive SE and acute symptomatic seizures associated with some etiologies were independent risk factors for phenytoin prescription. These results suggest ongoing commitment to reducing the prescription of suboptimal AEDs, particularly phenytoin in Brazilian emergence rooms.

RESUMO Introdução: Os dados referentes à prescrição de drogas antiepilépticas (DAE) em pacientes idosos hospitalizados são limitados. Objetivo: Avaliar as mudanças no padrão de prescrição de DAE em idosos hospitalizados com epilepsia de início tardio, entre 2009-2010 e 2015-2019, e interpretar quaisquer padrões inesperados no período de 2015-2019. Métodos: Foram selecionados pacientes com ≥60 anos com epilepsia de início tardio admitidos em um centro terciário. Analisamos os dados demográficos, as características e etiologia das crises, as comorbidades e as comedicações. Foram avaliados os esquemas de prescrição das DAE no tratamento de epilepsia para pacientes internados. Os regimes de DAE foram categorizados em dois grupos: o grupo 1 incluiu as DAE apropriadas (carbamazepina, oxcarbazepina, ácido valproico, gabapentina, clobazam, lamotrigina, levetiracetam, topiramato e lacosamida); e o grupo 2 compreendeu as DAE subótimas (fenitoína e fenobarbital). A análise de regressão logística multivariada foi realizada para identificar fatores de risco para prescrição de DAE subótimas. Resultados: Foram incluídos 134 pacientes (idade média: 77,2±9,6 anos). Encontramos uma redução significativa do uso das DAE subótimas (73,3 para 51,5%; p<0.001); entretanto, a fenitoína permaneceu sendo a DAE mais prescrita para os idosos hospitalizados. Também encontramos um aumento na prescrição da lamotrigina (5,5 para 33,6%) e do levetiracetam (0 para 29,1%) no período. O estado de mal epiléptico (EME) convulsivo e as crises agudas sintomáticas que estiveram associadas a etiologias remotas e progressivas foram fatores de risco para prescrição de DAE subótimas. Conclusões: A fenitoína foi a principal DAE subótima prescrita em nossa população, e o EME convulsivo e as crises agudas sintomáticas associadas a algumas etiologias foram fatores independentes de risco para a prescrição da fenitoína. Esses resultados sugerem a necessidade de compromisso contínuo para reduzir a prescrição de DAE subótimas, particularmente a fenitoína nas salas de emergência brasileiras.

Predictors of long length of hospital stay among elders admitted with seizures in a tertiary centre: a prospective study.

OBJECTIVE: Population ageing is a global phenomenon, and life expectancy in Brazil is growing fast. Epilepsy is the third most important chronic neurological disorder, and its incidence is higher among elderly patients than in any other segment of the population. The prevalence of epilepsy is greater among inpatients than in the general population and it is related to long length of hospital stay (LOS), which is associated with hospital mortality and higher healthcare costs. Despite these facts, reports of elderly inpatients admitted with seizures and associated outcomes are scarce. To identify predictors of long LOS among elderly inpatients admitted with seizures. METHODS: We prospectively enrolled elders admitted with epileptic seizures or who experienced seizures throughout hospitalization between November 2015 and August 2019. We analysed demographic data, neurological disorders, clinical comorbidities, and seizure features to identify risk factors. RESULTS: The median LOS was 11 days, with an interquartile range (IQR) of 5-21 days. The frequency of long LOS (defined as a period of hospitalization ≥12 days) was 47%. Multivariate analysis showed there was an exponential increase in long LOS if a patient showed any of the following conditions: intensive care unit (ICU) admission (OR=4.562), urinary tract infection (OR=3.402), movement disorder (OR=5.656), early seizure recurrence (OR=2.090), and sepsis (OR=4.014). CONCLUSION: Long LOS was common among elderly patients admitted with seizures, and most predictors of long LOS found in this cohort might be avoidable; these findings should be confirmed with further research.

Predictors of long length of hospital stay among elders admitted with seizures in a tertiary centre: a prospective study / Preditores de longo tempo de internação hospitalar entre idosos admitidos com crises epilépticas em um centro terciário: um estudo prospectivo

ABSTRACT Population ageing is a global phenomenon, and life expectancy in Brazil is growing fast. Epilepsy is the third most important chronic neurological disorder, and its incidence is higher among elderly patients than in any other segment of the population. The prevalence of epilepsy is greater among inpatients than in the general population and it is related to long length of hospital stay (LOS), which is associated with hospital mortality and higher healthcare costs. Despite these facts, reports of elderly inpatients admitted with seizures and associated outcomes are scarce. Objective: To identify predictors of long LOS among elderly inpatients admitted with seizures. Methods: We prospectively enrolled elders admitted with epileptic seizures or who experienced seizures throughout hospitalization between November 2015 and August 2019. We analysed demographic data, neurological disorders, clinical comorbidities, and seizure features to identify risk factors. Results: The median LOS was 11 days, with an interquartile range (IQR) of 5-21 days. The frequency of long LOS (defined as a period of hospitalization ≥12 days) was 47%. Multivariate analysis showed there was an exponential increase in long LOS if a patient showed any of the following conditions: intensive care unit (ICU) admission (OR=4.562), urinary tract infection (OR=3.402), movement disorder (OR=5.656), early seizure recurrence (OR=2.090), and sepsis (OR=4.014). Conclusion: Long LOS was common among elderly patients admitted with seizures, and most predictors of long LOS found in this cohort might be avoidable; these findings should be confirmed with further research.

RESUMO O envelhecimento populacional é um fenômeno global e o crescimento da expectativa de vida no Brasil tem sido rápido. A epilepsia é a terceira doença neurológica crônica mais importante e sua incidência em idosos é maior do que em qualquer outro segmento populacional. A prevalência de epilepsia é maior entre pacientes internados e está relacionada a longo tempo de internação (TDI), o qual está associado a custos elevados e mortalidade hospitalar. Apesar disso, são escassos os relatos de desfechos de pacientes idosos internados com crises epilépticas e resultados associados. Objetivo: Identificar fatores de risco de longo TDI em idosos admitidos com crises epilépticas. Métodos: Recrutamos prospectivamente pacientes idosos admitidos com crises epilépticas ou que tiveram crises durante a internação hospitalar entre novembro de 2015 e agosto de 2019. Analisamos dados demográficos, distúrbios neurológicos, comorbidades clínicas e tipos de crise epiléptica para identificar fatores de risco. Resultados: A mediana do TDI foi 11 dias, com intervalo interquartil (IIQ) de 5-21 dias. A frequência de longo TDI (definido como TDI≥12 dias) foi 47%. A análise multivariada mostrou que houve um aumento exponencial de TDI quando o paciente apresentou algumas dessas condições: admissão em unidade de terapia intensiva (UTI) (OR=4,562), infecção urinária (OR=3,402), transtorno do movimento (OR=4,562), recorrência precoce de crise epiléptica (OR=2,090) e sepse (OR=4,014). Conclusão: Longo TDI é um desfecho desfavorável importante e foi comum entre idosos admitidos com crises epilépticas. Muitos dos preditores de longo TDI encontrados nessa coorte podem ser evitados, o que deve ser confirmado com pesquisas futuras.

Predictors of early seizure recurrence among elderly inpatients admitted to a tertiary center: A prospective cohort study.

PURPOSE: Early seizure recurrence is common among elderly inpatients and is related to increased morbidity and a longer length of hospital stay. There are few studies on the short-term outcomes of seizures in the elderly population. We aimed to identify the predictors of early seizure recurrence among elderly inpatients. METHODS: We prospectively enrolled patients aged 60 years and older from a tertiary center who had seizures that either led to their hospital admission or occurred during hospitalization. We analyzed the demographic and hospitalization data, characteristics and etiology of seizures, and neurological and clinical comorbidities. Kaplan-Meier analysis was performed to determine the 30-day cumulative recurrence rates. The logrank test was used to analyze the risk of seizure recurrence within 30 days after the index seizure. Multivariable logistic regression analysis was used to identify risk factors for the recurrence of seizures within 30 days. RESULTS: Overall, 109 patients (mean age: 75.9 ±â€¯9.6 years) were enrolled. The mean age at the first-ever seizure was 74 ±â€¯11.7 years. Unprovoked seizures occurred in 59.6% of the patients. Cerebrovascular disorders were the most prevalent etiology (52.3%). Early seizure recurrence, defined as within 30 days, occurred in 27.5% of patients. Multimorbidity was found in 95.4% of our inpatients (6.3 ±â€¯2.3 [95% confidence interval, 5.4-7.2]), and the number of comorbidities was higher among those who had seizure recurrence than that among those who did not have seizure recurrence (p = 0.02). The probability of seizure recurrence was similar among the subgroups of patients who experienced acute seizures versus unprovoked seizures (both p = 0.03), and seizure recurrence was associated with a longer length of hospital stay (p = 0.005) compared to that of patients who did not experience seizure recurrence. After multivariate analysis, sepsis (p = 0.011), psychiatric disorders (p = 0.032), and cardiac arrhythmias (p = 0.037) were identified as risk factors for early seizure recurrence. CONCLUSIONS: Higher multimorbidity and a longer length of stay were associated with early seizure recurrence; and sepsis, psychiatric disorders, and cardiac arrhythmias were independent risk factors for early seizure recurrence among elderly inpatients.

Predictors of readmission and long length of stay in elders admitted with neurological disorders in a tertiary center: a real-world investigation.

OBJECTIVE: Hospital readmission and long length of stay (LOS) increase morbidity and hospital mortality and are associated with excessive costs to health systems. This study aimed to identify predictors of hospital readmission and long LOS among elders with neurological disorders (NDs). METHODS: Patients ≥ 60 years of age admitted to the hospital between January 1, 2009, and December 31, 2010, with acute NDs, chronic NDs as underpinnings of acute clinical disorders, and neurological complications of other diseases were studied. We analyzed demographic factors, NDs, and comorbidities as independent predictors of readmission and long LOS (≥ 9 days). Logistic regression was performed for multivariate analysis. RESULTS: Overall, 1,154 NDs and 2,679 comorbidities were identified among 798 inpatients aged ≥ 60 years (mean 75.8 ± 9.1). Of the patients, 54.5% were female. Patient readmissions were 251(31%) and 409 patients (51%) had an LOS ≥ 9 days (95% confidence interval 48%-55%). We found no predictors for readmission. Low socioeconomic class (p = 0.001), respiratory disorder (p < 0.001), infection (p < 0.001), genitourinary disorder (p < 0.033), and arterial hypertension (p = 0.002) were predictors of long LOS. Identified risks of long LOS explained 22% of predictors. CONCLUSIONS: Identifying risk factors for patient readmission are challenges for neurology teams and health system stakeholders. As low socioeconomic class and four comorbidities, but no NDs, were identified as predictors for long LOS, we recommend studying patient multimorbidity as well as functional and cognitive scores to determine whether they improve the risk model of long LOS in this population.

Predictors of readmission and long length of stay in elders admitted with neurological disorders in a tertiary center: a real-world investigation / Preditores de readmissão hospitalar e de longo tempo de internação em idosos admitidos com doenças neurológicas em centro terciário: uma investigação no mundo real

ABSTRACT Hospital readmission and long length of stay (LOS) increase morbidity and hospital mortality and are associated with excessive costs to health systems. Objective: This study aimed to identify predictors of hospital readmission and long LOS among elders with neurological disorders (NDs). Methods: Patients ≥ 60 years of age admitted to the hospital between January 1, 2009, and December 31, 2010, with acute NDs, chronic NDs as underpinnings of acute clinical disorders, and neurological complications of other diseases were studied. We analyzed demographic factors, NDs, and comorbidities as independent predictors of readmission and long LOS (≥ 9 days). Logistic regression was performed for multivariate analysis. Results: Overall, 1,154 NDs and 2,679 comorbidities were identified among 798 inpatients aged ≥ 60 years (mean 75.8 ± 9.1). Of the patients, 54.5% were female. Patient readmissions were 251(31%) and 409 patients (51%) had an LOS ≥ 9 days (95% confidence interval 48%-55%). We found no predictors for readmission. Low socioeconomic class (p = 0.001), respiratory disorder (p < 0.001), infection (p < 0.001), genitourinary disorder (p < 0.033), and arterial hypertension (p = 0.002) were predictors of long LOS. Identified risks of long LOS explained 22% of predictors. Conclusions: Identifying risk factors for patient readmission are challenges for neurology teams and health system stakeholders. As low socioeconomic class and four comorbidities, but no NDs, were identified as predictors for long LOS, we recommend studying patient multimorbidity as well as functional and cognitive scores to determine whether they improve the risk model of long LOS in this population.

RESUMO Readmissão hospitalar e tempo longo de internação aumentam a morbidade, a mortalidade hospitalar e estão associados a custos excessivos para os sistemas de saúde. Objetivo: Este estudo almejou identificar preditores de readmissões hospitalares e longo tempo de internação (TDI) entre idosos com doenças neurológicas (DN). Métodos: Pacientes de idade ≥ 60 anos admitidos no hospital entre 1 de janeiro de 2009 e 31 de dezembro de 2010 com DN aguda, DN crônica subjacente a transtorno clínico agudo e complicações neurológicas de outras doenças foram estudados. Nos analisamos fatores demográficos, DN e comorbidades como preditores independentes de readmissão hospitalar e TDI (≥ 9 dias). Utilizamos regressão logística para analise multivariada. Resultados: Um total de 1154 DN e 2679 comorbidades foram identificadas entre 798 pacientes com idade ≥ 60 anos (media 75.8 ± 9.1). Desses pacientes 54.5% foram mulheres. Foram 251(31%) readmissões de pacientes e 409 (51%) dos pacientes tiveram um TDI≥9 dias (intervalo de confiança 95%, 48%-55%). Não encontramos preditores para readmissões. Baixa classe social (p = 0,001), distúrbio respiratório (p < 0,001), infecção (p < 0,001), distúrbio genito-urinário (p = 0,033) e hipertensão arterial (p = 0,002) foram os preditores de longo tempo de internação. Esses fatores de risco compõem 22% dos preditores para longo TDI. Conclusões: A identificação de fatores de risco para readmissão hospitalar é um desafio para equipes neurológicas e gestores dos sistemas de saúde. Conquanto baixa classe social e 4 comorbidades, todavia nenhuma DN, foram identificadas como preditoras para longo TDI nós recomendamos investigar multimorbidade, escores funcionais e cognitivos para saber se eles melhoram o modelo de risco para longo TDI nesta população.

Hospital Mortality Among Elderly Patients Admitted With Neurological Disorders Was Not Predicted by any Particular Diagnosis in a Tertiary Medical Center.

BACKGROUND: Neurological disorders (NDs) are associated with high hospital mortality. We aimed to identify predictors of hospital mortality among elderly inpatients with NDs. METHODS: Patients aged ≥60 years admitted to the hospital between January 1, 2009 and December 31, 2010 with acute NDs, chronic NDs as underpinnings of acute clinical disorders, and neurological complications of other diseases were studied. We analyzed demographic data, NDs, and comorbidities as independent predictors of hospital mortality. Logistic regression was performed for multivariable analysis. RESULTS: Overall, 1540 NDs and 2679 comorbidities were identified among 798 inpatients aged ≥ 60 years (mean 75.8±9.1). Of these, 54.5% were female. Diagnostic frequency of NDs ranged between 0.3% and 50.8%. Diagnostic frequency of comorbidities ranged from 5.6% to 84.5%. Comorbidities varied from 0 to 9 per patient (90% of patients had ≥2 comorbidities), mean 3.2±1.47(CI, 3.1-3.3). Patients with multimorbidities presented with a mean of 4.7±1.7 morbidities per patient. Each ND and comorbidity were associated with high hospital mortality, producing narrow ranges between the lowest and highest incidences of death (hospital mortality = 18%) (95% CI, 15%-21%). After multivariable analysis, advanced age (P<0.001) and low socioeconomic status (P=0.003) were recognized as predictors of mortality, totaling 9% of the variables associated with hospital mortality. CONCLUSION: Neither a particular ND nor an individual comorbidity predicted hospital mortality. Age and low socioeconomic class accounted for 9% of predictors. We suggest evaluating whether functional, cognitive, or comorbidity scores will improve the risk model of hospital mortality in elderly patients admitted with ND.

Frequency, associated features, and burden of neurological disorders in older adult inpatients in Brazil: a retrospective cross-sectional study.

BACKGROUND: The burden of neurological disorders (NDs) in older adult inpatients is often underestimated. We studied diagnostic frequency and comorbidity of NDs among inpatients aged ≥60 years. We compared rates of hospital mortality, length of stay (LOS), and readmission with younger patient counterparts (aged 18-59 years) and older adult non-neurological patients. METHODS: This was a retrospective cross-sectional study of inpatients in a tertiary care center in Brazil. We compiled data for all patients admitted between 1 January 2009 and 31 December 2010, and selected those aged ≥18 years for inclusion in the study. We collected data for inpatients under care of a clinical neurologist who were discharged with primary diagnoses of NDs or underlying acute clinical disorders, and data for complications in clinical or surgical inpatients. Patients who remained hospitalized for more than 9 days were categorized as having long LOS. RESULTS: Older adult inpatients with NDs (n = 798) represented 56% of all neurological inpatients aged ≥18 years (n = 1430), and 14% of all geriatric inpatients (n = 5587). The mean age of older adult inpatients was 75 ± 9.1 years. Women represented 55% of participants. The most common NDs were cerebrovascular diseases (51%), although multimorbidity was observed. Hospital mortality rate was 18% (95% confidence interval [CI], 15-21) and readmission rate was 31% (95% CI, 28-35), with 40% of patients readmitted 1.8 ± 1.5 times. The long LOS rate was 51% and the median LOS was 9 days (interquartile interval, 1-20 days). In younger inpatients mortality rate was 1.4%, readmission rate was 34%, and long LOS rate was 14%. In older adult non-neurological inpatients, mortality rate was 22%, readmission rate was 49%, and long LOS rate was 30%. CONCLUSIONS: Older adult neurological inpatients had the highest long LOS rate of all patient groups, and a higher mortality rate than neurological patients aged 18-59 years. Readmissions were high in all groups studied, particularly among older adult non-neurological inpatients. Improved structures and concerted efforts are required in hospitals in Brazil to reduce burden of NDs in older adult patients.

Mortality predictors of epilepsy and epileptic seizures among hospitalized elderly.

UNLABELLED: Epilepsy and epileptic seizures are common brain disorders in the elderly and are associated with increased mortality that may be ascribed to the underlying disease or epilepsy-related causes. OBJECTIVE: To describe mortality predictors of epilepsy and epileptic seizures in elderly inpatients. METHOD: Retrospective analysis was performed on hospitalized elderly who had epilepsy or epileptic seizures, from January 2009 to December 2010. One hundred and twenty patients were enrolled. RESULTS: The most common etiology was ischemic stroke (37%), followed by neoplasias (13%), hemorrhagic stroke (12%), dementias (11.4%) and metabolic disturbances (5.5%). In a univariate analysis, disease duration (p = 0.04), status epilepticus (p < 0.001) and metabolic etiology (p = 0.005) were associated with mortality. However after adjustment by logistic regression, only status epilepticus remained an independent predictor of death (odds ratio = 13; 95%CI = 2.3 to 72; p = 0.004). CONCLUSION: In this study status epilepticus was an independent risk factor for death during hospitalization.

Mortality predictors of epilepsy and epileptic seizures among hospitalized elderly / Preditores de mortalidade de epilepsia e crises epilépticas entre idosos hospitalizados

Epilepsy and epileptic seizures are common brain disorders in the elderly and are associated with increased mortality that may be ascribed to the underlying disease or epilepsy-related causes. Objective To describe mortality predictors of epilepsy and epileptic seizures in elderly inpatients.Method Retrospective analysis was performed on hospitalized elderly who had epilepsy or epileptic seizures, from January 2009 to December 2010. One hundred and twenty patients were enrolled.Results The most common etiology was ischemic stroke (37%), followed by neoplasias (13%), hemorrhagic stroke (12%), dementias (11.4%) and metabolic disturbances (5.5%). In a univariate analysis, disease duration (p = 0.04), status epilepticus (p < 0.001) and metabolic etiology (p = 0.005) were associated with mortality. However after adjustment by logistic regression, only status epilepticus remained an independent predictor of death (odds ratio = 13; 95%CI = 2.3 to 72; p = 0.004).Conclusion In this study status epilepticus was an independent risk factor for death during hospitalization.

Epilepsia e crises epilépticas são transtornos cerebrais comuns em idosos e estão associadas com uma taxa de mortalidade elevada que pode ser atribuída à etiologia ou a causas relacionadas à epilepsia. Objetivo Descrever preditores de mortalidade em pacientes idosos internados com epilepsia e crise epiléptica.Método Estudo retrospectivo, envolvendo idosos hospitalizados, de 60 anos ou mais, que foram admitidos de janeiro de 2009 a dezembro de 2010 por terem apresentado epilepsia e crises epilépticas durante a hospitalização. Cento e vinte pacientes foram incluídos no estudo.Resultados A etiologia mais comum foi o acidente vascular cerebral isquêmico (37%), seguido por neoplasias (13%), acidente vascular cerebral hemorrágico (12%), demências (11,4%) e distúrbios metabólicos (5,5%). Na análise univariada, duração da doença (p = 0,04), estado de mal epiléptico (p < 0,001) e etiologia metabólica (p = 0,005) estiveram associados com mortalidade. Entretanto, após ajuste por regressão logística, apenas estado de mal epiléptico permaneceu como preditor independente de morte (odds ratio = 13; IC95% = 2,3 a 72; p = 0,004).Conclusão Neste estudo, estado de mal epiléptico foi um fator independente de risco para morte durante hospitalização.

Etiological prevalence of epilepsy and epileptic seizures in hospitalized elderly in a Brazilian tertiary center - Salvador - Brazil.

UNLABELLED: Epilepsy in the elderly has high incidence and prevalence and is often underecognized. OBJECTIVE: To describe etiological prevalence of epilepsy and epileptic seizures in elderly inpatients. METHODS: Retrospective analysis was performed on elderly patients who had epilepsy or epileptic seizures during hospitalization, from January 2009 to December 2010. One hundred and twenty patients were enrolled. They were divided into two age subgroups (median 75 years) with the purpose to compare etiologies. RESULTS: The most common etiology was ischemic stroke (36.7%), followed by neoplasias (13.3%), hemorrhagic stroke (11.7%), dementias (11.4%) and metabolic disturbances (5.5%). The analysis of etiological association showed that ischemic stroke was predominant in the younger subgroup (45% vs 30%), and dementias in the older one (18.9% vs 3.8%), but with no statistical significance (p = 0.23). CONCLUSION: This study suggests that epilepsy and epileptic seizures in the elderly inpatients have etiological association with stroke, neoplasias and dementias.

Etiological prevalence of epilepsy and epileptic seizures in hospitalized elderly in a Brazilian tertiary center – Salvador - Brazil / Prevalência etiológica de epilepsia e crises epilépticas em idosos hospitalizados em centro terciário – Salvador – Brasil

Epilepsy in the elderly has high incidence and prevalence and is often underecognized. Objective To describe etiological prevalence of epilepsy and epileptic seizures in elderly inpatients. Methods Retrospective analysis was performed on elderly patients who had epilepsy or epileptic seizures during hospitalization, from January 2009 to December 2010. One hundred and twenty patients were enrolled. They were divided into two age subgroups (median 75 years) with the purpose to compare etiologies. Results The most common etiology was ischemic stroke (36.7%), followed by neoplasias (13.3%), hemorrhagic stroke (11.7%), dementias (11.4%) and metabolic disturbances (5.5%). The analysis of etiological association showed that ischemic stroke was predominant in the younger subgroup (45% vs 30%), and dementias in the older one (18.9% vs 3.8%), but with no statistical significance (p = 0.23). Conclusion This study suggests that epilepsy and epileptic seizures in the elderly inpatients have etiological association with stroke, neoplasias and dementias. .

Epilepsia no idoso tem alta incidência e prevalência e é frequentemente sub diagnosticada. Objetivo Descrever a prevalência etiológica da epilepsia e crises epilépticas em idosos internados. Métodos Estudo retrospectivo, envolvendo idosos hospitalizados, de 60 anos ou mais, que foram admitidos de janeiro de 2009 a dezembro de 2010 por terem apresentado epilepsia e crises epilépticas durante a hospitalização. Cento e vinte pacientes foram incluídos no estudo. Os pacientes foram divididos em dois subgrupos de idade (mediana 75 anos), com o propósito de comparar etiologias. Resultados A etiologia mais comum foi o acidente vascular cerebral isquêmico (36,7%), seguido por neoplasias (13,3%), acidente vascular cerebral hemorrágico (11,7%), demências (11,4%) e distúrbios metabólicos (5,5%). A análise da associação etiológica mostrou que o acidente vascular cerebral isquêmico predominou no subgrupo mais jovem (45% vs 30%), e as demências no subgrupo mais velho (18,9% vs 3,8%), contudo essa diferença não evidenciou significância estatística (p = 0,23). Conclusão Este estudo sugere que epilepsia e crise epiléptica em idosos internados têm associação etiológica com acidente vascular cerebral, neoplasias e demências. .

Antiepileptic drugs patterns in elderly inpatients in a Brazilian tertiary center, Salvador, Brazil.

UNLABELLED: Epilepsy is very prevalent among elderly inpatients and treatment is far from ideal. OBJECTIVE: To analyze prescribing patterns of antiepileptic drugs (AEDs) for hospitalized elderly with epilepsy, their relations with comorbidities and comedications. METHOD: We assessed prescription regimen of elderly patients that were under AED use for treatment of epileptic seizures, during hospitalization. One hundred and nine patients were enrolled. AED regimen was categorized into two groups: Group 1 defined as appropriate (carbamazepine, oxcarbazepine, valproic acid, gabapentin, clobazan and lamotrigine) and Group 2 as inappropriate (phenytoin and phenobarbital). RESULTS: We found 73.4% of patients used inappropriate AEDs (p<0.001). Monotherapy was prescribed for 71.6% of patients. The most common comorbidity was hypertension. Potentially proconvulsant drugs as comedications were used for nearly half of patients. CONCLUSION: Inappropriate AED therapy was commonly prescribed regimen for elderly inpatients. Some recommendations are discussed for a better care of elderly inpatients with epilepsy.

Antiepileptic drugs patterns in elderly inpatients in a Brazilian tertiary center, Salvador, Brazil / Uso de drogas antiepilépticas em idosos internados em centro terciário, Salvador, Brasil

Epilepsy is very prevalent among elderly inpatients and treatment is far from ideal. Objective To analyze prescribing patterns of antiepileptic drugs (AEDs) for hospitalized elderly with epilepsy, their relations with comorbidities and comedications. Method We assessed prescription regimen of elderly patients that were under AED use for treatment of epileptic seizures, during hospitalization. One hundred and nine patients were enrolled. AED regimen was categorized into two groups: Group 1 defined as appropriate (carbamazepine, oxcarbazepine, valproic acid, gabapentin, clobazan and lamotrigine) and Group 2 as inappropriate (phenytoin and phenobarbital). Results We found 73.4% of patients used inappropriate AEDs (p<0.001). Monotherapy was prescribed for 71.6% of patients. The most common comorbidity was hypertension. Potentially proconvulsant drugs as comedications were used for nearly half of patients. Conclusion Inappropriate AED therapy was commonly prescribed regimen for elderly inpatients. Some recommendations are discussed for a better care of elderly inpatients with epilepsy. .

Epilepsia é frequente entre idosos hospitalizados e o tratamento costuma ser aquém do ideal. Objetivo Analisar os padrões de prescrição de drogas antiepilépticas para idosos hospitalizados com epilepsia, bem como sua relação com comorbidades e comedicações. Método Revisamos os prontuários de pacientes idosos internados com diagnóstico de epilepsia e que estavam em uso de droga antiepiléptica (DAE) durante o período de hospitalização. Cento e nove pacientes foram incluídos no estudo. O regime de DAE foi categorizado em dois grupos: Grupo 1, definido como apropriado (carbamazepina, oxcarbazepina, ácido valpróico, gabapentina, clobazam e lamotrigina) e Grupo 2, como inapropriado (fenitoína e fenobarbital). Resultados 73,4% dos pacientes usaram DAE inapropriadas (p<0,001). Regime de monoterapia foi usado por 71,6% dos pacientes. Hipertensão arterial foi a comorbidade mais frequente. Medicações concomitantes potencialmente proconvulsivantes foram usadas por quase metade desta população. Conclusão Regime de droga antiepiléptica inapropriada foi o mais utilizado em pacientes idosos internados. São discutidas algumas recomendações para melhor cuidado ao paciente idoso hospitalizado com epilepsia. .

Status epilepticus in the elderly: epidemiology, clinical aspects and treatment.

The aim of the study was to review the epidemiology, clinical profile and discuss the etiology, prognosis and treatment options in patients aged 60 years or older presenting with status epilepticus. We performed a systematic review involving studies published from 1996 to 2010, in Medline/PubMed, Scientific Electronic Library on line (Scielo), Latin-American and Caribbean Center of Health Sciences Information (Lilacs) databases and textbooks. Related articles published before 1996, when relevant for discussing epilepsy in older people, were also included. Several population studies had shown an increased incidence of status epilepticus after the age of 60 years. Status epilepticus is a medical and neurological emergency that is associated with high morbidity and mortality, and is a major concern in the elderly compared to the general population. Prompt diagnosis and effective treatment of convulsive status epilepticus are crucial to avoid brain injury and reduce the fatality rate in this age group.

Clinical and cerebrospinal fluid (CSF) profile and CSF criteria for the diagnosis of spinal cord schistosomiasis.

OBJECTIVES: To describe the clinical and CSF findings among patients with presumptive neuroschistosomiasis (NS) and to suggest a classification for the CSF diagnosis of presumptive NS. METHOD: The charts of all patients whose CSF exam was performed at the CSF Lab, Jos Silveira Foundation, Salvador, Brazil, from 1988 to 2002 were reviewed. Those with clinically suspected NS whose indirect fluorescent antibody test (IFA) and or hemagglutination-inhibiting antibodies test (HAI) were positive to S. mansoni were identified. RESULTS: Of 377 patients, 67.9% were males; the median age was 36 years (mean 37 + 16 yrs, range 3-82 yrs). The most frequent complaints were paraparesis (59.9%), urinary retention (36.2%), lower limb pain (22.8%). WBC of CSF (count/mm ) was > 4 in 66.0% (mean 83 + 124, median 40, range 4.3-1,100), protein (mg/dl) was > 40 in 84.6% (mean 185 + 519, median 81, range 41-6,800) and eosinophils were present in 46.9%. IFA and HAI were positive in 75.3%. WBC > 4 and presence of eosinophils were associated with IFA and HAI positive (67.3% versus 51.4%, p 0.014; 49.1% versus 23.0%, p 0.0001, respectively) and protein > 40 was not (85.4% versus 77.0%, p 0.09). Presence of WBC > 4, protein > 40 and eosinophils was associated with IFA and HAI positive (71.6% versus 38.2%, p 0.0003) but presence of eosinophils and any other combination of WBC and protein were not. CONCLUSION: NS should be considered as a possible diagnosis in patients who had had contact with schistosome-infected water and present with spinal cord compromising. Presence of IFA and HAI positive to S. mansoni, WBC > 4, protein > 40 and presence of eosinophils in the CSF may be considered as a criterium of highly probable presumptive diagnosis.

Clinical and cerebrospinal fluid (CSF) profile and CSF criteria for the diagnosis of spinal cord schistosomiasis

OBJECTIVES: To describe the clinical and CSF findings among patients with presumptive neuroschistosomiasis (NS) and to suggest a classification for the CSF diagnosis of presumptive NS. METHOD: The charts of all patients whose CSF exam was performed at the CSF Lab, José Silveira Foundation, Salvador, Brazil, from 1988 to 2002 were reviewed. Those with clinically suspected NS whose indirect fluorescent antibody test (IFA) and or hemagglutination-inhibiting antibodies test (HAI) were positive to S. mansoni were identified. RESULTS: Of 377 patients, 67.9 percent were males; the median age was 36 years (mean 37 + 16 yrs, range 3-82 yrs). The most frequent complaints were paraparesis (59.9 percent), urinary retention (36.2 percent), lower limb pain (22.8 percent). WBC of CSF (count/mm ) was > 4 in 66.0 percent (mean 83 + 124, median 40, range 4.3-1,100), protein (mg/dl) was > 40 in 84.6 percent (mean 185 + 519, median 81, range 41-6,800) and eosinophils were present in 46.9 percent. IFA and HAI were positive in 75.3 percent. WBC > 4 and presence of eosinophils were associated with IFA and HAI positive (67.3 percent versus 51.4 percent, p 0.014; 49.1 percent versus 23.0 percent, p 0.0001, respectively) and protein > 40 was not (85.4 percent versus 77.0 percent, p 0.09). Presence of WBC > 4, protein > 40 and eosinophils was associated with IFA and HAI positive (71.6 percent versus 38.2 percent, p 0.0003) but presence of eosinophils and any other combination of WBC and protein were not. CONCLUSION: NS should be considered as a possible diagnosis in patients who had had contact with schistosome-infected water and present with spinal cord compromising. Presence of IFA and HAI positive to S. mansoni, WBC > 4, protein > 40 and presence of eosinophils in the CSF may be considered as a criterium of highly probable presumptive diagnosis