Differences in Diagnostic Evaluation in Women and Men After Acute Ischemic Stroke.

Background Sex differences have been found in stroke risk factors, incidence, treatment, and outcomes. There are conflicting data on whether diagnostic evaluation for stroke may differ between men and women. Methods and Results We performed a retrospective cohort study using inpatient and outpatient claims between 2008 and 2016 from a nationally representative 5% sample of Medicare beneficiaries. We included patients ≥65 years old and hospitalized with ischemic stroke, defined by International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM diagnosis codes. Logistic regression was used to determine the association between female sex and the odds of diagnostic testing and specialist evaluation, adjusted for age, race, and number of Charlson comorbidities. Among 78 822 patients with acute ischemic stroke, 58.3% (95% CI, 57.9-58.6%) were women. Female sex was associated with decreased odds of intracranial vessel imaging (odds ratio [OR]: 0.94; 95% CI, 0.91-0.97), extracranial vessel imaging (OR: 0.89; 95% CI, 0.86-0.92), heart-rhythm monitoring (OR: 0.92; 95% CI, 0.87-0.98), echocardiography (OR: 0.92; 95% CI, 0.89-0.95), evaluation by a neurologist (OR: 0.94; 95% CI, 0.91-0.97), and evaluation by a vascular neurologist (OR: 0.94; 95% CI, 0.90-0.97), after adjustment for age, race, and comorbidities. These findings were unchanged in separate sensitivity analyses excluding patients who died during the index hospitalization or were discharged to hospice and excluding patients with atrial fibrillation diagnosed before their index stroke. Conclusions In a nationally representative cohort of Medicare beneficiaries, we found that women with acute ischemic stroke were less likely to be evaluated by stroke specialists and less likely to undergo standard diagnostic testing compared with men.

Smart wearable body sensors for patient self-assessment and monitoring.

BACKGROUND: Innovations in mobile and electronic healthcare are revolutionizing the involvement of both doctors and patients in the modern healthcare system by extending the capabilities of physiological monitoring devices. Despite significant progress within the monitoring device industry, the widespread integration of this technology into medical practice remains limited. The purpose of this review is to summarize the developments and clinical utility of smart wearable body sensors. METHODS: We reviewed the literature for connected device, sensor, trackers, telemonitoring, wireless technology and real time home tracking devices and their application for clinicians. RESULTS: Smart wearable sensors are effective and reliable for preventative methods in many different facets of medicine such as, cardiopulmonary, vascular, endocrine, neurological function and rehabilitation medicine. These sensors have also been shown to be accurate and useful for perioperative monitoring and rehabilitation medicine. CONCLUSION: Although these devices have been shown to be accurate and have clinical utility, they continue to be underutilized in the healthcare industry. Incorporating smart wearable sensors into routine care of patients could augment physician-patient relationships, increase the autonomy and involvement of patients in regards to their healthcare and will provide for novel remote monitoring techniques which will revolutionize healthcare management and spending.

Disparities in access to deep brain stimulation surgery for Parkinson disease: interaction between African American race and Medicaid use.

IMPORTANCE: African American individuals experience barriers to accessing many types of health care in the United States, resulting in substantial health care disparities. To improve health care in this patient population, it is important to recognize and study the potential factors limiting access to care. OBJECTIVE: To examine deep brain stimulation (DBS) use in Parkinson disease (PD) to determine which factors, among a variety of demographic, clinical, and socioeconomic variables, drive DBS use in the United States. DESIGN, SETTING, AND PARTICIPANTS: We queried the Nationwide Inpatient Sample in combination with neurologist and neurological surgeon countywide density data from the Area Resource File. We used International Classification of Diseases, Ninth Revision codes to identify discharges of patients at multicenter, all-payer, nonfederal hospitals in the United States diagnosed with PD (code 332.0) who were admitted for implantation of intracranial neurostimulator lead(s) (code 02.39), DBS. MAIN OUTCOMES AND MEASURES: We analyzed factors predicting DBS use in PD using a hierarchical logistic regression analysis including patient and hospital characteristics. Patient characteristics included age, sex, comorbidity score, race, income quartile of zip code, and insurance type. Hospital characteristics included teaching status, size, regional location, urban vs rural setting, experience with DBS discharges, year, and countywide density of neurologists and neurological surgeons. RESULTS: Query of the Nationwide Inpatient Sample yielded 2,408,302 PD discharges from 2002 to 2009; 18,312 of these discharges were for DBS. Notably, 4.7% of all PD discharges were African American, while only 0.1% of DBS for PD discharges were African American. A number of factors in the hierarchical multivariate analysis predicted DBS use including younger age, male sex, increasing income quartile of patient zip code, large hospitals, teaching hospitals, urban setting, hospitals with higher number of annual discharges for PD, and increased countywide density of neurologists (P < .05). Predictors of nonuse included African American race (P < .001), Medicaid use (P < .001), and increasing comorbidity score (P < .001). Countywide density of neurological surgeons and Hispanic ethnicity were not significant predictors. CONCLUSIONS: AND RELEVANCE: Despite the fact that African American patients are more often discharged from hospitals with characteristics predicting DBS use (ie, urban teaching hospitals in areas with a higher than average density of neurologists), these patients received disproportionately fewer DBS procedures compared with their non-African American counterparts. Increased reliance on Medicaid in the African American population may predispose to the DBS use disparity. Various other factors may be responsible, including disparities in access to care, cultural biases or beliefs, and/or socioeconomic status.

Evaluation of intraventricular hemorrhage assessment methods for predicting outcome following intracerebral hemorrhage.

OBJECT: Intraventricular hemorrhage (IVH) associated with intracerebral hemorrhage (ICH) is an independent predictor of poor outcome. Clinical methods for evaluating IVH, however, are not well established. This study sought to determine the best IVH grading scale by evaluating the predictive accuracies of IVH, Graeb, and LeRoux scores in an independent cohort of ICH patients with IVH. Subacute IVH dynamics as well as the impact of external ventricular drain (EVD) placement on IVH and outcome were also investigated. METHODS: A consecutive cohort of 142 primary ICH patients with IVH was admitted to Columbia University Medical Center between February 2009 and February 2011. Baseline demographics, clinical presentation, and hospital course were prospectively recorded. Admission CT scans performed within 24 hours of onset were reviewed for ICH location, hematoma volume, and presence of IVH. Intraventricular hemorrhage was categorized according to IVH, Graeb, and LeRoux scores. For each patient, the last scan performed within 6 days of ictus was similarly evaluated. Outcomes at discharge were assessed using the modified Rankin Scale (mRS). Receiver operating characteristic analysis was used to determine the predictive accuracies of the grading scales for poor outcome (mRS score ≥ 3). RESULTS: Seventy-three primary ICH patients (51%) had IVH. Median admission IVH, Graeb, and LeRoux scores were 13, 6, and 8, respectively. Median IVH, Graeb and LeRoux scores decreased to 9 (p = 0.005), 4 (p = 0.002), and 4 (p = 0.003), respectively, within 6 days of ictus. Poor outcome was noted in 55 patients (75%). Areas under the receiver operating characteristic curve were similar among the IVH, Graeb, and LeRoux scores (0.745, 0.743, and 0.744, respectively) and within 6 days postictus (0.765, 0.722, 0.723, respectively). Moreover, the IVH, Graeb, and LeRoux scores had similar maximum Youden Indices both at admission (0.515 vs 0.477 vs 0.440, respectively) and within 6 days postictus (0.515 vs 0.339 vs 0.365, respectively). Patients who received EVDs had higher mean IVH volumes (23 ± 26 ml vs 9 ± 11 ml, p = 0.003) and increased incidence of Glasgow Coma Scale scores < 8 (67% vs 38%, p = 0.015) and hydrocephalus (82% vs 50%, p = 0.004) at admission but had similar outcome as those who did not receive an EVD. CONCLUSIONS: The IVH, Graeb, and LeRoux scores predict outcome well with similarly good accuracy in ICH patients with IVH when assessed at admission and within 6 days after hemorrhage. Therefore, any of one of the scores would be equally useful for assessing IVH severity and risk-stratifying ICH patients with regard to outcome. These results suggest that EVD placement may be beneficial for patients with severe IVH, who have particularly poor prognosis at admission, but a randomized clinical trial is needed to conclusively demonstrate its therapeutic value.