Pattern of neurological disease seen among patients admitted in tertiary care hospital

Assessment of disease pattern and drug utilization among neurology intensive care unit patients in a developing country: an observational analysis

OBJECTIVE

This study aimed to assess the disease pattern and drug utilization among admitted patients in a tertiary-care hospital's neurology intensive care unit (neuro ICU).

METHODS

A prospective observational cohort study was conducted between August 2022 and January 2023. Patients of any age and gender admitted to the neuro ICU were included, but those who declined to participate were excluded. Demographics, clinical, and medication details were consistently gathered and maintained until discharge. The World Health Organization (WHO)/International Network of Rational Use of Drugs (INRUD) prescribing indicators and the Anatomical Therapeutic Chemical (ATC) classification/Defined Daily Dose (DDD) system were used to evaluate drug use.

RESULTS

A total of 516 patients were included, predominantly male (65.1%), with an average age of 54.62 ± 15.02 years. The most common diagnosis was stroke [72.3%, comprised of hemorrhagic (46.7%) and ischemic (25.6%)], followed by seizure disorders (6.6%), and central nervous system infections (5.4%). Patients received an average of 7.8 medications, 32.3% prescribed by generic name, 16.0% antibiotics, 74.1% injections, and 100% essential drugs. A (28.5%), C (19.2%), N (17.3%), J (19.2%), B (13.5%), and R (2.3%) were commonly prescribed ATC classes of medications. Number of DDDs was maximum for pantoprazole and furosemide. Based on discharged status, 41.0% were discharged on request, 24.8% against medical advice, 23.8% routine, and 10.2% mortality during hospitalization.

CONCLUSION

Our study reveals a high prevalence of hemorrhagic stroke, especially among men, diverging from global ischemic stroke trends. Irregular hypertension treatment is the primary cause, exacerbated by low healthcare knowledge in rural areas, where patients often discharge on request, probably due to poor socio-economic conditions. Urgent public awareness campaigns and further research are needed to address this elevated hemorrhagic stroke incidence.

Implementation of a Real-Time Documentation Assistance Tool: Automated Diagnosis (AutoDx)

BACKGROUND

 Clinical documentation improvement programs are utilized by most health care systems to enhance provider documentation. Suggestions are sent to providers in a variety of ways, and are commonly referred to as coding queries. Responding to these coding queries can require significant provider time and do not often align with workflows. To enhance provider documentation in a more consistent manner without creating undue burden, alternative strategies are required.

OBJECTIVES

 The aim of this study is to evaluate the impact of a real-time documentation assistance tool, named AutoDx, on the volume of coding queries and encounter-level outcome metrics, including case-mix index (CMI).

METHODS

 The AutoDx tool was developed utilizing tools existing within the electronic health record, and is based on the generation of messages when clinical conditions are met. These messages appear within provider notes and required little to no interaction. Initial diagnoses included in the tool were electrolyte deficiencies, obesity, and malnutrition. The tool was piloted in a cohort of Hospital Medicine providers, then expanded to the Neuro Intensive Care Unit (NICU), with addition diagnoses being added.

RESULTS

 The initial Hospital Medicine implementation evaluation included 590 encounters pre- and 531 post-implementation. The volume of coding queries decreased 57% (p < 0.0001) for the targeted diagnoses compared with 6% (p = 0.77) in other high-volume diagnoses. In the NICU cohort, 829 encounters pre-implementation were compared with 680 post. The proportion of AutoDx coding queries compared with all other coding queries decreased from 54.9 to 37.1% (p < 0.0001). During the same period, CMI demonstrated a significant increase post-implementation (4.00 vs. 4.55, p = 0.02).

CONCLUSION

 The real-time documentation assistance tool led to a significant decrease in coding queries for targeted diagnoses in two unique provider cohorts. This improvement was also associated with a significant increase in CMI during the implementation time period.

SOFA and APACHE II scoring systems for predicting outcome of neurological patients admitted in a tertiary hospital intensive care unit

Background

The field of neurology encompasses the study and treatment of disorders that affect the nervous system, and patients with neurological conditions often require specialized care, particularly in the ICU. Predictive scoring systems are measures of disease severity used to predict patient outcomes. The aim of this study was to compare the discriminative power of commonly used scoring systems, namely the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) in the ICU of a tertiary care hospital.

Methods

This retrospective study included patients with neurological disorders in the ICUs of Tribhuvan University Teaching Hospital from 1 January 2022 to 31 December 2022.

Results

A total of 153 patients were included. The mean age of the patients was 54.76 ± 17.32 years with higher male predominance (60.78%). Ischaemic stroke was the most common neurological disorder. There were 58 patients (37.9%) who required mechanical ventilation and all-cause mortality was 20.9%. The mean SOFA score was significantly higher (P=0.002) in survivors, whereas the mean APACHE II did not show a significant difference (P=0.238). Receiver operating characteristic (ROC) analysis showed the area of curve (AUC) of SOFA score was 0.765 and of APACHE II was 0.722.

Conclusions

SOFA score had comparatively higher discriminative power than APACHE II. Assessment of the performance of scoring systems in a specific ICU setting improves the sensitivity and applicability of the model to these settings.

Pitfalls in scalp EEG: Current obstacles and future directions

Although electroencephalography (EEG) serves a critical role in the evaluation and management of seizure disorders, it is commonly misinterpreted, resulting in avoidable medical, social, and financial burdens to patients and health care systems. Overinterpretation of sharply contoured transient waveforms as being representative of interictal epileptiform abnormalities lies at the core of this problem. However, the magnitude of these errors is amplified by the high prevalence of paroxysmal events exhibited in clinical practice that compel investigation with EEG. Neurology training programs, which vary considerably both in the degree of exposure to EEG and the composition of EEG didactics, have not effectively addressed this widespread issue. Implementation of competency-based curricula in lieu of traditional educational approaches may enhance proficiency in EEG interpretation amongst general neurologists in the absence of formal subspecialty training. Efforts in this regard have led to the development of a systematic, high-fidelity approach to the interpretation of epileptiform discharges that is readily employable across medical centers. Additionally, machine learning techniques hold promise for accelerating accurate and reliable EEG interpretation, particularly in settings where subspecialty interpretive EEG services are not readily available. This review highlights common diagnostic errors in EEG interpretation, limitations in current educational paradigms, and initiatives aimed at resolving these challenges.

Pattern of Neurological Disorders among Patients Evaluated in the Emergency Department; Cross-Sectional Study

Introduction

Neurologic disorders are common reasons for emergency consultations. Most neurologic disorders seen in the emergency department (ED) are life-threatening and require urgent treatment. The goal of this study is to investigate the pattern of neurological disorders among patients evaluated in the ED.

Methods

This is a cross-sectional study conducted in the ED of Mogadishu Somali Turkish Training and Research Hospital, from July 2021 to February 2022. The clinical and epidemiological characteristics of adult patients with neurologic manifestations in the ED were evaluated. Age, gender, distribution of neurological disease manifestations, neurological examination findings, and neurological diagnoses made by consultant neurologists were assessed.

Results

During the study period, 321 patients were assessed (3.7 % of all ED admissions). The majority of the patients in the study were above 50 years of age (62.6% male). Hypertension was the most common comorbidity among these patients with 122 (38%) cases, followed by diabetes mellitus with 65 (20.2%), and heart diseases with 26 (8.1%) cases. The main reasons for neurology consultations were altered mental status with 141 (44%) cases, motor weakness with 102 (31.8%), seizures with 33 (10%), headache with 17 (5.3%), and vertigo with 9 (2.8%) cases. 196 (61%) had hemiplegia, 60 (18.7%) had consciousness impairment, and 38 (11.8%) had normal neurological examination. The most frequent neurological diagnoses were ischemic strokes with 125 (39%) cases, hemorrhagic strokes with 65 (20.2%), epileptic seizures with 28 (8.7%), and metabolic encephalopathies with 13 (4%) cases. The median duration of the neurology consultations was 20 minutes. 251 (78%) of the patients were admitted to the hospital, while 70 (22%) were discharged from the emergency department. After neurology consultation, the neurology department made the most admissions with 226 (90%) cases, while 25 (10%) were admitted by other departments. Of those admitted, 186 (74.2%) were admitted to the neurology ward, and 65 (25.8%) were admitted to the intensive care unit.

Conclusion

In our study, neurologic emergencies accounted for 3.7% of all emergency admissions. Stroke, epileptic seizures, cerebral venous thrombosis, encephalopathies, and acute spinal cord diseases were the most common neurological disorders.  The admission rate was very high following neurologic assessment by neurologists.

Psychiatric Social Work Consultations for Persons with Neurological disorders in a Tertiary Care Hospital during COVID-19 Lockdown: A Retrospective Observational Study

Background

Worldwide, COVID-19 pandemic lockdown lead to disruptions of general health services and neurological services in particular. Hence, it is essential to report to the scientific community regarding the nature and range of psychiatric social work services provided for neurology patients during the pandemic lockdown.

Aim

To study the profile of patients availed psychiatric social work (PSW) consultation during pandemic lockdown at neurology in-patient setting.

Materials and Methods

The study was retrospective in nature. Data were analysed from an in-patient referral registry. For the study purpose, neurological patients referred from April 2020 - June 2020 were considered. All patients referred for psychiatric social work consultations were included in the study. The study was carried out in tertiary care teaching hospital. Frequency and percentages were used to analyse the data.

Results

The diagnostic profile revealed Stroke (40%), Guillain-Barré syndrome (10%), meningitis (10%), autoimmune encephalitis (4%), and demyelination (4%), other chronic neurological disorders (30%). Common psychiatric social work services provided were casework with caregivers and patients regarding education about the illness, breaking the bad news, grief interventions, supportive therapy, addressing child care issues, ensuring medication compliance and follow-up services, pre-discharge counselling, assessing socio-economic condition to facilitate financial assistance towards concession in hospital charges, facilitating social welfare benefits, and tracing the family members.

Conclusion

Stroke, Guillain-Barré syndrome, neuro-infections were the most common neurological disorders required psychiatric social work consultations. Educating the patient and their family about the illness, facilitating welfare benefits and financial assistance were the most common psychiatric social work services provided during the covid-19 pandemic lockdown.

Spectrum of neurological diseases across gangetic belt: a hospital based prospective observational study

OBJECTIVE

Neurological disorders are the most common cause of morbidity and mortality in riverside cities. Earlier studies reported the presence of heavy metals in the riverside of Gangetic belt. Our study objective was to determine the prevalence of neurological diseases in Ganga riverside and further divided into sections as just across riverside within 25 kms and non-riverside as 25 kms away from the Ganga river.

METHODS

This was a prospective observational study conducted in a tertiary care hospital of selected Gangetic belt.

RESULTS

A total of 2016 patients were recorded in this period. Mean age of the participants was 47.89 years, majority were males 59.2%. Most of the patients n = 1154 were from within 25 kms of Ganga riverside and n = 862 patients were from non-riverside (25 kms away from Ganga river). Common neurological diseases were ischemic stroke 22.7%, haemorrhagic stroke 20.7%, seizures 13.7%, septic encephalopathy 9.4%, neuropathy 8.9%, Parkinson's disease 4.3%, myopathy 4.1%, myelitis 2.8%, headache 2.4%, amyotrophic lateral sclerosis 1.9% and functional disorder 1.9%.

CONCLUSION

Present study showed that neurological diseases were more common in Ganga riverside and stroke including ischemic and hemorrhagic are most common neurological diseases noted in our study.

Improving Neurosurgery Education Using Social Media Case-Based Discussions: A Pilot Study

BACKGROUND

The increasing shift toward a more generalized medical undergraduate curriculum has led to limited exposure to subspecialties, including neurosurgery. The lack of standardized teaching may result in insufficient coverage of core learning outcomes. Social media (SoMe) in medical education are becoming an increasingly accepted and popular way for students to meet learning objectives outside formal medical school teaching. We delivered a series of case-based discussions (CbDs) over SoMe to attempt to meet core learning needs in neurosurgery and determine whether SoMe-based CbDs were an acceptable method of education.

METHODS

Twitter was used as a medium to host 9 CbDs pertaining to common neurosurgical conditions in practice. A sequence of informative and interactive tweets were formulated before live CbDs and tweeted in progressive order. Demographic data and participant feedback were collected.

RESULTS

A total of 277 participants were recorded across 9 CbDs, with 654,584 impressions generated. Feedback responses were received from 135 participants (48.7%). Participants indicated an increase of 77% in their level of knowledge after participating. Of participants, 57% (n = 77) had previous CbD experience as part of traditional medical education, with 62% (n = 84) receiving a form of medical education previously through SoMe. All participants believed that the CbDs objectives were met and would attend future sessions. Of participants, 99% (n = 134) indicated that their expectations were met.

CONCLUSIONS

SoMe has been shown to be a favorable and feasible medium to host live, text-based interactive CbDs. SoMe is a useful tool for teaching undergraduate neurosurgery and is easily translatable to all domains of medicine and surgery.

Recovery from stroke: current concepts and future perspectives

Stroke is a leading cause of acquired, permanent disability worldwide. Although the treatment of acute stroke has been improved considerably, the majority of patients to date are left disabled with a considerable impact on functional independence and quality of life. As the absolute number of stroke survivors is likely to further increase due to the demographic changes in our aging societies, new strategies are needed in order to improve neurorehabilitation. The most critical driver of functional recovery post-stroke is neural reorganization. For developing novel, neurobiologically informed strategies to promote recovery of function, an improved understanding of the mechanisms enabling plasticity and recovery is mandatory. This review provides a comprehensive survey of recent developments in the field of stroke recovery using neuroimaging and non-invasive brain stimulation. We discuss current concepts of how the brain reorganizes its functional architecture to overcome stroke-induced deficits, and also present evidence for maladaptive effects interfering with recovery. We demonstrate that the combination of neuroimaging and neurostimulation techniques allows a better understanding of how brain plasticity can be modulated to promote the reorganization of neural networks. Finally, neurotechnology-based treatment strategies allowing patient-tailored interventions to achieve enhanced treatment responses are discussed. The review also highlights important limitations of current models, and finally closes with possible solutions and future directions.

Parkinson's Disease in the Middle East, North Africa, and South Asia: Consensus from the International Parkinson and Movement Disorder Society Task Force for the Middle East

BACKGROUND

Understanding the regional needs and available healthcare resources to treat Parkinson's disease (PD) is essential to plan appropriate future priorities. The International Parkinson and Movement Disorder Society (MDS) Task Force for the Middle East was established to raise awareness and promote education across the region on PD and other movement disorders. Broadly, the task force encompasses the countries of the Middle East but has included North Africa and South Asia as well (MENASA).

OBJECTIVE

To create a list of needs and priorities in the advancement of PD in MENASA countries based on consensuses generated by the MDS task force for the Middle East.

METHODS

A Strengths Weaknesses-Opportunities-Threats (SWOT) analysis was conducted by the task force members to generate consensus about PD care this region.

RESULTS

Eight overarching principles emerged for the consensus statement on current needs: more movement disorders specialists, multidisciplinary care, accurate epidemiologic data, educational programs, availability of drugs, and availability of more advanced therapy, enhanced health care resources and infrastructure, and greater levels of awareness within the general population and among health care professionals.

CONCLUSION

This pilot study sheds light on unmet needs for providing care to people with PD in the MENASA region. These data offer directions on priorities to increase awareness of PD, to develop better infrastructure for research and management of PD, to foster healthcare policy discussions for PD and to provide educational opportunities within these countries.

The main neurologic diagnoses from a neurology outpatient clinic in Rio de Janeiro, Brazil

This study aims to evaluate the prevalence, distribution and clinical profile of neurological diseases and syndromes from a neurology outpatient clinic in the city of Rio de Janeiro. This is a quantitative, cross-sectional study. 180 medical records of firsttime visits conducted through 18 months were analyzed. Age, gender and comorbidities were collected to identify the sample's profile and the neurological diagnoses found were classified in predefined groups of syndromes according to the ICD-10 classification, which were further stratified according to age and gender. 157 (87,2%) of the patients had a neurological disease, of which the mean age was 51,05 years and 67,5% were women. The most frequent comorbidities were: hypertension (55,6%); dyslipidemia (20,4%); and diabetes (14,6%). The most common neurological diseases were: Sequelae of Cerebrovascular Disease (12,7%); Unspecified Dementia (8,9%); and Migraine without Aura (7,6%). The main neurological syndromes were: Headache (24,8%); Dementia (15,9%); Cerebrovascular Disease (13,4%); Movement Disorders (12,1%); and Radiculopathy (10,8%). The age and gender profile of these syndromes was further described. These data contribute to better understand the distribution of neurological diseases in the neurological outpatient setting.

Analyzing the chance of developing dementia among geriatric people: a cross-sectional pilot study in Bangladesh

AIM

Alzheimer's disease is the most common form of dementia, representing 60-80% of cases, and ageing is the primary risk factor for the development of Alzheimer's disease. The objective of this study was to examine the chance of developing dementia (i.e. mild cognitive impairment (MCI), Alzheimer's disease) among geriatric people in Bangladesh.

METHODS

This study included 390 adult citizens of Bangladesh (age range: 60-70 years). The Takeda Three Colors Combination (TTCC) test was used to detect the prevalence of MCI and mild dementia among the subjects, and then the Clinical Dementia Rating was used to determine the level of dementia.

RESULTS

The subjects who were aged 60-65 years included 154 with MCI, 76 with mild dementia, 1 with moderate dementia, 4 with severe dementia, and 29 without dementia. The subjects who were aged 66-70 years included 75 with MCI, 36 with mild dementia, 0 with moderate dementia, 2 with severe dementia, and 13 without dementia. The sensitivity of the TTCC was 75% and 58% for the mild dementia and MCI groups, respectively, and the specificity was 52%. The odds ratio of incorrect responses to the TTCC was 3.42 (95% confidence interval: 1.63-7.21) for subjects with mild dementia compared those without dementia. However, the TTCC outcomes revealed no significant differences between the MCI and non-dementia groups. The results showed no significant associations between cognitive decline/developing dementia and social status/occupation.

CONCLUSION

The outcomes of this study indicated that most of the subjects had MCI or mild dementia and were farmers aged 60-65 years.

Clinical Characteristics of Involuntary Movement in Hospitalized Patients

OBJECTIVE

Neurological symptoms in hospitalized patients are not rare, and neurological consultation for movement disorders is especially important in evaluating or managing those with various movement disorders. Therefore, we investigated a clinical pattern of in-hospital consultations for various movement disorders in a tertiary care university hospital.

METHODS

Over two years, a total of 202 patients (70.7 ± 11.8 years of age) presenting with movement disorders referred to movement disorder specialists were investigated.

RESULTS

The main symptoms referred by nonneurologists were tremor (56.9%), parkinsonism (16.8%), and gait disturbance (8.9%). The most frequent diagnostic category was toxic/metabolic-caused movement disorder (T/MCMD) (35%) with regard to medications, followed by Parkinson's disease (PD) (16%). Regarding the mode of onset, T/MCMD was the leading cause for acute (68%) and subacute onset (46%), while PD was the leading disorder (31%) for chronic onset.

CONCLUSION

The current study showed a characteristic pattern of inpatients presenting with movement disorders. Furthermore, our findings highlighted the clinical significance of drug use or metabolic problems for treating this patient population.

Spectrum of Disease and Prescription Pattern for Outpatients with Neurological Disorders: An Empirical Pilot Study in Bangladesh

BACKGROUND

Neurological disorders represent one of the most prominent causes of morbidity and mortality that adversely affect the lifestyle of patients and a major percentage of these diseases exists in developing countries.

PURPOSE

The objective of this study was to examine the prevalence and prescription pattern for outpatients with neurological disorders in Bangladesh.

METHODS

The study was conducted on 1,684 patients in 6 hospitals (National Institute of Neurosciences and Hospital, Dhaka Medical College and Hospital, Bangabandhu Sheikh Mujib Medical University, Shaheed Suhrawardy Medical College, Sir Salimullah Medical College, and Apollo Hospitals Dhaka) of the Dhaka City from March 2014 to June 2015. Data were collected through a predesigned questionnaire from the patients that contain information about gender, age, marital status, occupation, residential status, affected disease, self-medicated medicines, and prescribed medicines.

RESULTS

Out of 1,684 patients, 28.38% patients were aged 51-60 years and male, 57.19% predominance. The study exposed headache and migraine for 29.75% patients, followed by stroke for 23.93% patients and seizure for 7.07% patients. Genetic reason for the neurological disorders was seen only among 12.35% patients. In this study, 16.98% patients had been affected by neurological disorders for more than 2 years and 19% of patients for less than 6 months. Most extensively prescribed medicines were multivitamins and multiminerals used by 17.89% of patients followed by nonsteroidal anti-inflammatory drugs and other analgesic by 14.84%; afterwards antiulcerants were used by 12.62%, subsequently anticoagulants were used by 11.61% followed by antihyperlipidemic medicines by 10.26% and antiepileptic drugs by 8.08% of patients. The crucial reasons for the selection of prescribed medicines were the confidence that patients had with the physician's prescribed medicines, which was shown for 40.97% patients and knowledge of the medicines was reported for 35.04% patients. The period of prescribed medicine usage was 1-3 months for 39.73% patients and 3-6 months for 29.16% patients. The patient's compliance for prescribed medicines was satisfactory for 34.56% patients, good for 28.15% patients, and side effects were reported for 23.22% patients.

CONCLUSION

In Bangladesh, it is not surprising to note that neurological diseases are more prevalent than other different diseases among different age groups and genders. Headache and migraine, stroke and seizure are most frequently encountered neurological disorders here. Treatment procedure of these disorders is not quite suitable due to the anomalies of health care management systems. Appropriate management of the health care system, especially the placement of hospital and community pharmacy can overcome the existing inconsistencies as well as increase the knowledge, awareness, and perception of the patients about health and neurological disorders.

Stroke and seizure continue to be the major brunt of in patient neurology care. An observation from teaching hospital

Objectives:

To assess the burden and describe the pattern of neurological disorders requiring admissions in a teaching hospital of Al Khobar.

Methods:

This is a retrospective, cross sectional study, carried out in the Neurology Department of King Fahd Hospital of the University from January 2009 to December 2016. Neurological disorders were grouped as ischemic stroke, intracerebral hemorrhage, transient ischemic attack, cerebral venous sinus thrombosis, seizure disorders, central nervous system infection, multiple sclerosis, neuropathies, myopathies, headache, dementia and miscellaneous group. Data was entered and analyzed by Statistical Package for the Social Science (SPSS) version 22.0 (IBM Corp., Armonk, NY, USA).

Results:

The records of 1,317 patients admitted under Neurology Service were analyzed. Out of that, 740 (56.2%) were male and 577 (43.8%) were female. Mean age was 46.9±24 years (mean±standard deviation). Ischemic stroke was the most common diagnosis (32%) followed by seizures (20%). Multiple sclerosis accounted for around 8% and central nervous system infections 5% of neurological admission.

Conclusion:

Ischemic stroke was found to be the most common etiology for hospitalization in our study. The results of our study are similar to previous literature. An urgent need to control major risk factors such as diabetes and hypertension is warranted to minimize the burden of stroke.

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.

Pattern of neurological diseases in adult outpatient neurology clinics in tertiary care hospital

OBJECTIVES

The burden of neurological diseases in developing countries is rising although little is known about the epidemiology and clinical pattern of neurological disorders. The objective of this study was to understand the burden of disease faced by neurologists a in tertiary care setting.

RESULTS

A prospective observational study was conducted of all presentations to neurology clinics at Aga Khan University Hospital Karachi over a period of 2 years. A total of 16,371 out-patients with neurological diseases were seen during the study period. The mean age of the study participants were 46.2 ± 18.3 years and 8508 (52%) were male. Headache disorders were present in 3058 (18.6%) of patients followed by vascular diseases 2842 (17.4%), nerve and root lesions 2311 (14.1%) and epilepsies 2055 (12.5%). Parkinson's disease was more prevalent in male participants 564 (70.8%) as compared to female 257 (62.1%) (p = 0.002). Migraines and vertigo disease were more diagnosed in females as compared to males. Epilepsies were seen more in younger age groups. Parkinson's disease was seen in 50.9% of participants between the ages of 45 and 65 years, and the frequency increased with age.

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.

Explanation and Elaboration of the Standards of Reporting of Neurological Disorders Checklist: A Guideline for the Reporting of Incidence and Prevalence Studies in Neuroepidemiology

Background: Incidence and prevalence studies of neurological disorders play an extremely important role in hypothesis-generation, assessing the burden of disease and planning of health services. However, the assessment of disease estimates is hindered by the poor quality of reporting for such studies. We developed the Standards of Reporting of Neurological Disorders (STROND) guideline in order to improve the quality of reporting of neurological disorders from which prevalence, incidence, and outcomes can be extracted for greater generalisability. Methods: The guideline was developed using a 3-round Delphi technique in order to identify the ‘basic minimum items' important for reporting, as well as some additional ‘ideal reporting items.' An e-consultation process was then used in order to gauge opinion by external neuroepidemiological experts on the appropriateness of the items included in the checklist. Findings: The resultant 15 items checklist and accompanying recommendations were developed using a similar process and structured in a similar manner to the Strengthening of the Reporting of Observational Studies in Epidemiology checklist for ease of use. This paper presents the STROND checklist with an explanation and elaboration for each item, as well as examples of good reporting from the neuroepidemiological literature. Conclusions: The introduction and use of the STROND checklist should lead to more consistent, transparent and contextualised reporting of descriptive neuroepidemiological studies that should facilitate international comparisons, and lead to more accessible information for multiple stakeholders, ultimately supporting better healthcare decisions for neurological disorders.