Low estimated glomerular filtration rate and pneumonia in stroke patients: findings from a prospective stroke registry in the East of England

Priya Vart,1,2 Joao H Bettencourt-Silva,3,4 Anthony K Metcalf,3,4 Kristian M Bowles,3,4 John F Potter,3,4 Phyo K Myint1,3,4 1Ageing Clinical and Experimental Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, UK; 2Radboud Institute for Health Sciences, Department for Health Evidence, Radboud University Medical Center, Nijmegen, the Netherlands; 3Stroke Research Group, Norfolk and Norwich University Hospital, Norwich, UK; 4Norwich Medical School, University of East Anglia, Norwich, UK Purpose: Low estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m2) is a recognized risk factor for pneumonia in general population. While pneumonia is common after stroke, the association between levels of eGFR and pneumonia in stroke patient population has not yet been examined thoroughly. Patients and methods: Using data of 10,329 patients from the Norfolk and Norwich Stroke Registry between January 2003 and April 2015, we examined the association of poststroke pneumonia (in-hospital and after discharge) with low eGFR and when eGFR is divided into the complete spectrum of clinically relevant categories; (≥90) (ref.), 60–89, 45–59, 30–44, 15–30, and <15 mL/min/1.73 m2). Results: In all, 1,519 (14.7%) developed in-hospital pneumonia and 1,037 (12.9%) developed pneumonia after hospital discharge. In age- and sex-adjusted model, low eGFR was associated with in-hospital pneumonia (subdistribution hazard ratio (sHR): 1.13; 95% CI: 1.01–1.25) and pneumonia after discharge (sHR: 1.20; 95% CI: 1.07–1.38). In fully adjusted model, association remained significant for pneumonia after hospital discharge. When eGFR was categorized in all clinically relevant categories, association with in-hospital pneumonia tended to be “U” shaped (eg, compared to eGFR ≥90, sHR for 60–89 was 0.78; 95% CI: 0.62–0.99 and for <15 was 1.06; 95% CI: 0.71–1.60) and association with pneumonia after discharge tended to increase with decline in eGFR level such that risk was almost two fold higher at eGFR <15 (sHR: 1.85; 95% CI: 1.01–3.51). Association for in-hospital pneumonia was driven mainly by aspiration pneumonia, whereas association in stroke survivors was predominantly for nonaspiration pneumonia. Conclusion: In stroke patients, low eGFR at admission was associated with pneumonia, particularly severely reduced eGFR with nonaspiration pneumonia after hospital discharge. eGFR could form the basis for identifying patients at high risk of poststroke pneumonia. Keywords: stroke, eGFR, prognosis, epidemiolog

Impact of HIV on inpatient mortality and complications in stroke in Thailand: a National Database Study.

The co-existence of stroke and HIV has increased in recent years, but the impact of HIV on post-stroke outcomes is poorly understood. We examined the impact of HIV on inpatient mortality, length of acute hospital stay and complications (pneumonia, respiratory failure, sepsis and convulsions), in hospitalized strokes in Thailand. All hospitalized strokes between 1 October 2004 and 31 January 2013 were included. Data were obtained from a National Insurance Database. Characteristics and outcomes for non-HIV and HIV patients were compared and multivariate logistic and linear regression models were constructed to assess the above outcomes. Of 610 688 patients (mean age 63·4 years, 45·4% female), 0·14% (866) had HIV infection. HIV patients were younger, a higher proportion were male and had higher prevalence of anaemia (P < 0·001) compared to non-HIV patients. Traditional cardiovascular risk factors, hypertension and diabetes, were more common in the non-HIV group (P < 0·001). After adjusting for age, sex, stroke type and co-morbidities, HIV infection was significantly associated with higher odds of sepsis [odds ratio (OR) 1·75, 95% confidence interval (CI) 1·29-2·4], and inpatient mortality (OR 2·15, 95% CI 1·8-2·56) compared to patients without HIV infection. The latter did not attenuate after controlling for complications (OR 2·20, 95% CI 1·83-2·64). HIV infection is associated with increased odds of sepsis and inpatient mortality after acute stroke

Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice

Routinely collected data in hospital Electronic Medical Records (EMR) is rich and abundant but often not linked or analysed for purposes other than direct patient care. We have created a methodology to integrate patient-centric data from different EMR systems into clinical pathways that represent the history of all patient interactions with the hospital during the course of a disease and beyond. In this paper, the literature in the area of data visualisation in healthcare is reviewed and a method for visualising the journeys that patients take through care is discussed. Examples of the hidden knowledge that could be discovered using this approach are explored and the main application areas of visualisation tools are identified. This paper also highlights the challenges of collecting and analysing such data and making the visualisations extensively used in the medical domain. This paper starts by presenting the state-of-the-art in visualisation of clinical and other health related data. Then, it describes an example clinical problem and discusses the visualisation tools and techniques created for the utilisation of these data by clinicians and researchers. Finally, we look at the open problems in this area of research and discuss future challenges

Impact of anaemia on acute stroke outcomes depends on the type of anaemia: Evidence from a UK stroke register

BackgroundPrevious research has demonstrated an association between anaemia and poor outcomes in acute stroke. This study aimed to assess the impact of anaemia on stroke by anaemia subtype. Methods Data from a prospective UK Regional Stroke Register were used to assess the association between hypochromic microcytic and normochromic normocytic anaemia on inpatient-mortality, length of stay (LOS) and discharge modified Rankin scale (mRS). Analysis was stratified by stroke subtypes and multivariable logistic regression, adjusting for potential confounders, was used to quantify this association. Patients who were not anaemic were the reference category. ResultsA total of 8167 stroke patients (admitted between 2003 and 2015) were included, mean age (SD) 77.39 ± 11.90 years. Of these, 3.4% (n = 281) had hypochromic microcytic anaemia and 15.5% (n = 1262) had normochromic normocytic anaemia on admission. Normochromic normocytic anaemia was associated with increased odds of in-patient mortality OR 1.48 (1.24–1.77), 90-day mortality OR 1.63 (1.38–1.92), longer LOS OR 1.21 (1.06–1.40), defined as &gt; 7 days, and severe disability defined as discharge mRS ≥ 3 OR 1.31 (1.06–1.63), in patients with ischaemic stroke. Hypochromic microcytic anaemia was associated with 90-day mortality OR 1.90 (1.40–2.58) and a longer LOS OR 1.57 (1.20–2.05) in patients with ischaemic stroke. ConclusionsHypochromic microcytic and normochromic normocytic anaemia are associated with differing outcomes in terms of inpatient mortality and post stroke disability. While it is unclear if anaemia per se or another underlying cause is responsible for adverse outcomes, subtype of anaemia appears to be relevant in stroke prognosis.</p

Patient healthcare trajectory. An essential monitoring tool: a systematic review

BACKGROUND: Patient healthcare trajectory is a recent emergent topic in the literature, encompassing broad concepts. However, the rationale for studying patients’ trajectories, and how this trajectory concept is defined remains a public health challenge. Our research was focused on patients’ trajectories based on disease management and care, while also considering medico-economic aspects of the associated management. We illustrated this concept with an example: a myocardial infarction (MI) occurring in a patient’s hospital trajectory of care. The patient follow-up was traced via the prospective payment system. We applied a semi-automatic text mining process to conduct a comprehensive review of patient healthcare trajectory studies. This review investigated how the concept of trajectory is defined, studied and what it achieves. METHODS: We performed a PubMed search to identify reports that had been published in peer-reviewed journals between January 1, 2000 and October 31, 2015. Fourteen search questions were formulated to guide our review. A semi-automatic text mining process based on a semantic approach was performed to conduct a comprehensive review of patient healthcare trajectory studies. Text mining techniques were used to explore the corpus in a semantic perspective in order to answer non-a priori questions. Complementary review methods on a selected subset were used to answer a priori questions. RESULTS: Among the 33,514 publications initially selected for analysis, only 70 relevant articles were semi-automatically extracted and thoroughly analysed. Oncology is particularly prevalent due to its already well-established processes of care. For the trajectory thema, 80% of articles were distributed in 11 clusters. These clusters contain distinct semantic information, for example health outcomes (29%), care process (26%) and administrative and financial aspects (16%). CONCLUSION: This literature review highlights the recent interest in the trajectory concept. The approach is also gradually being used to monitor trajectories of care for chronic diseases such as diabetes, organ failure or coronary artery and MI trajectory of care, to improve care and reduce costs. Patient trajectory is undoubtedly an essential approach to be further explored in order to improve healthcare monitoring