The relationship between low prolactin and type 2 diabetes.

Prolactin (PRL) is secreted throughout life in men and women. At elevated levels, its physiological role in pregnancy and lactation, and pathological effects, are well known. However clinical implications of low circulating PRL are not well established. We conducted a meta-analysis to examine the relationship between low PRL levels and type 2 diabetes. Five papers included cross-sectional studies comprising 8,720 men (mean age range 51.4-60 years) and 3,429 women (49.5-61.6 years), and four papers included cohort studies comprising 2,948 men (52.1-60.0 years) and 3,203 women (49.2-60.1 years). Individuals with pregnancy, lactation and hyperprolactinemia, drugs known to alter circulating PRL levels, or pituitary diseases had been excluded. Although most studies used quartiles to categorize PRL groups for analysis, PRL cut-off values (all measured by chemiluminescence immunoassay) were variably defined between studies: the lowest PRL quartiles ranged from 3.6 ng/ml to 7.2 ng/ml in men and between 4.5 ng/ml to 8 ng/ml in women; and the highest PRL quartiles ranged from 6.9 ng/ml to 13 ng/ml in men and 9.6 ng/ml to 15.8 ng/ml in women. Type 2 diabetes was defined variably using self-reported physician's diagnosis, fasting blood glucose, oral glucose tolerance test or glycated hemoglobin (HbA1C). In cross-sectional studies, compared to individuals in the highest PRL groups (reference), those in the lowest PRL groups had greater risk of type 2 diabetes both in men: odds ratio (OR) and 95% confidence interval = 1.86 (1.56-2.22) and in women: OR = 2.15 (1.63-2.85). In cohort studies, women showed a significant association between low PRL and type 2 diabetes: OR = 1.52 (1.02-2.28) but not men: OR = 1.44 (0.46-4.57). Relatively low heterogeneity was observed (I2 = 25-38.4%) for cross-sectional studies, but higher for cohort studies (I2 = 52.8-79.7%). In conclusion, low PRL is associated with type 2 diabetes, but discrepancy between men and women in the relationship within cohort studies requires further research.

Evidence-based definition of hypoprolactinemia in European men aged 40-86 years: the European male ageing study.

Empirical evidence for a low normal or reference interval for serum prolactin (PRL) is lacking for men, while the implications of very low PRL levels for human health have never been studied. A clinical state of "PRL deficiency" has not been defined except in relation to lactation. Using data from the European Male Ageing Study (EMAS), we analyzed the distribution of PRL in 3,369 community-dwelling European men, aged 40-80 years at phase-1 and free from acute illnesses. In total, 2,948 and 2,644 PRL samples were collected during phase-1 and phase-2 (3 to 5.7 years later). All samples were analysed in the same centre with the same assay. After excluding individuals with known pituitary diseases, PRL ≥ 35 ng/ml, and PRL-altering drugs including antipsychotic agents, selective serotonin reuptake inhibitors, or dopamine agonists, 5,086 data points (2,845 in phase-1 and 2,241 in phase-2) were available for analysis. The results showed that PRL declined minimally with age (slope = -0.02) and did not correlate with BMI. The positively skewed PRL distribution was log-transformed to a symmetrical distribution (skewness reduced from 13.3 to 0.015). Using two-sigma empirical rule (2[]SD about the mean), a threshold at 2.5% of the lower end of the distribution was shown to correspond to a PRL value of 2.98ng/ml. With reference to individuals with PRL levels of 5-34.9 ng/ml (event rate = 6.3%), the adjusted risk of developing type 2 diabetes increased progressively in those with PRL levels of 3-4.9 ng/ml: event rate = 9.3%, OR (95% CI) 1.59 (0.93-2.71), and more so with PRL levels of 0.3-2.9 ng/ml: event rate = 22.7%, OR 5.45 (1.78-16.62). There was also an increasing trend in prediabetes and diabetes based on fasting blood glucose levels was observed with lower categories of PRL. However, PRL levels were not associated with cancer, cardiovascular diseases, depressive symptoms or mortality. Our findings suggest that a PRL level below 3 ng/ml (64 mlU/l) significantly identifies European men with a clinically-important outcome (of type 2 diabetes), offering a lower reference-value for research and clinical practice.

Urinary incontinence indicates mortality, disability, and infections in hospitalised stroke patients.

OBJECTIVES: To assess the impact of urinary incontinence (UI) on health outcomes over the entire spectrum of acute stroke severity (National Institutes of Health Stroke Scale [NIHSS] scores: 0-42), due to a paucity of data on patients with milder strokes. PATIENTS AND METHODS: Data were prospectively collected (2014-2016) from the Sentinel Stroke National Audit Programme (1593 men, 1591 women; mean [SD] age 76.8 [13.3] years) admitted to four UK hyperacute stroke units (HASUs). Relationships between variables were assessed by multivariable logistic regression. Data were adjusted for age, sex, comorbidities, pre-stroke disability and intra-cranial haemorrhage, and presented as odds ratios with 95% confidence intervals. RESULTS: Amongst patients with no symptoms or a minor stroke (NIHSS scores of 0-4), compared to patients without UI, patients with UI had significantly greater risks of poor outcomes including: in-hospital mortality; disability at discharge; in-hospital pneumonia; urinary tract infection within 7 days of admission; prolonged length of stay on the HASU; palliative care by discharge; activity of daily living (ADL) support, and new discharge to care home. In patients with more moderate stroke (NIHSS score of 5-15) the same outcomes were identified; being at greater risk for patients with UI, except for palliative care by discharge and ADL support. With the highest stroke severity group (NIHSS score of 16-48) all outcomes were identified except in-patient mortality, pneumonia, and ADL support. However, odds ratios diminished as NIHSS scores increased. CONCLUSIONS: Urinary incontinence is a useful indicator of poor short-term outcomes in older patients with an acute stroke, but irrespective of stroke severity. This provides valuable information to healthcare professionals to identify at-risk individuals.

Sex-specific independent risk factors of urinary incontinence in acute stroke patients: A multicentre registry-based cohort study.

BACKGROUND: The presence of urinary incontinence (UI) in acute stroke patients indicates poor outcomes in men and women. However, there is a paucity and inconsistency of data on UI risk factors in this group and hence we conducted a sex-specific analysis to identify risk factors. METHODS: Data were collected prospectively (2014-2016) from the Sentinel Stroke National Audit Program for patients admitted to four UK hyperacute stroke units. Relevant risk factors for UI were determined by stepwise multivariable logistic regression, presented as odds ratios (OR) and 95% confidence intervals (CI). RESULTS: The mean (±SD) age of UI onset in men (73.9 year ± 13.1; n = 1593) was significantly earlier than for women (79.8 year ± 12.9; n = 1591: p < 0.001). Older age between 70 and 79 year in men (OR = 1.61: CI = 1.24-2.10) and women (OR = 1.55: CI = 1.12-2.15), or ≥80 year in men (OR = 2.19: CI = 1.71-2.81), and women (OR = 2.07: CI = 1.57-2.74)-reference: <70 year-both predicted UI. In addition, intracranial hemorrhage (reference: acute ischemic stroke) in men (OR = 1.64: CI = 1.22-2.20) and women (OR = 1.75: CI = 1.30-2.34); and prestroke disability (mRS scores ≥ 4) in men (OR = 1.90: CI = 1.02-3.5) and women (OR = 1.62: CI = 1.05-2.49) (reference: mRS scores < 4); and stroke severity at admission: NIHSS scores = 5-15 in men (OR = 1.50: CI = 1.20-1.88) and women (OR = 1.72: CI = 1.37-2.16), and NIHSS scores = 16-42 in men (OR = 4.68: CI = 3.20-6.85) and women (OR = 3.89: CI = 2.82-5.37) (reference: NIHSS scores = 0-4) were also significant. Factors not selected were: a history of congestive heart failure, hypertension, atrial fibrillation, diabetes and previous stroke. CONCLUSIONS: We have identified similar risk factors for UI after stroke in men and women including age >70 year, intracranial hemorrhage, prestroke disability and stroke severity.

Impact of the COVID-19 pandemic on care-quality outcomes in older adults admitted to hospital with altered mental status.

OBJECTIVES: During the coronavirus disease (COVID-19) pandemic, patients with altered mental status (AMS: dementia, delirium and delirium superimposed on dementia) were profoundly affected by an abrupt transformation in healthcare systems. Here, we evaluated quality-care outcomes, including length of stay (LOS), in-hospital mortality, early readmission and mortality after hospital discharge, in older adults admitted for AMS during the pandemic and compared them to patients admitted prior to the pandemic. METHODS: Chi-squared and Fisher's exact tests were used to examine changes to admissions for AMS before and during the pandemic, and their outcomes. Logistic regression analyses, with reference to pre-pandemic data, were conducted to examine the impact of the pandemic on outcomes. DESIGN: Prospective data of 21,192 non-COVID admissions to an acute general medical department in a Surrey (UK) hospital were collected from patients admitted before (1st April 2019 to 29th February 2020) and during the pandemic (1st March 2020 to 31st March 2021). RESULTS: There were 10,173 (47.7% men) from the pre-pandemic and 11,019 (47.5% men) from the pandemic periods; overall mean age  =  68.3yr. During the pandemic AMS patients had significantly higher admission rates (1.1% vs 0.6%, P < 0.001). However, median LOS in hospital was shorter (9.0 days [IQR = 5.3-16.2] vs 15.5 days [IQR  =  6.2-25.7], P < 0.001) and thus were less likely to stay in hospital >3 weeks: adjusted OR  =  0.26 (95%CI  =  0.12-0.57). In-hospital mortality and readmission within 28 days of discharge did not change during the pandemic, but were less likely to die within 30 days of discharge: adjusted OR = 0.32 (95%CI = 0.11-0.96). CONCLUSIONS: This combination of higher admission rate, shorter LOS, and an unchanging early readmission suggests a higher admission-discharge turnover of different patients with AMS and provides important insights into the potential impact of the COVID-19 pandemic on healthcare delivery to individuals with AMS.

Association of Polypharmacy and Anticholinergic Burden with Length of Stay in Hospital Amongst Older Adults Admitted with Hip Fractures: A Retrospective Observational Study.

BACKGROUND: Age-associated multimorbidity and polypharmacy, predispose individuals to falls and consequent hip fractures. We examined the impact of polypharmacy (≥ 4 drugs daily), including anticholinergic agents, on hospital length of stay (LOS), mobility within 1-day of hip surgery and pressure ulcers in adults ≥ 60 years admitted with hip fractures. METHODS: In this retrospective observational study, information on medications at admission was obtained to calculate the total number of drugs taken, including those imposing an anticholinergic burden (ACB). Associations between variables were examined by logistic regression; adjusted for age, sex, co-morbidities, pre-fracture functional limitations and alcohol consumption. RESULTS: There were 787 women and 318 men of similar mean age (± SD): 83.1 years (± 8.6) and 82.5 years (± 9.0), respectively. Compared to patients with an ACB score = 0 and taking < 4 drugs daily, those with an ACB score ≥ 1 and taking ≥ 4 drugs daily had greater risk of prolonged LOS (≥ 2 weeks), OR 1.8 (1.2-2.7); failure to mobilise within 1-day of surgery, OR 1.9 (1.1-3.3); and pressure ulcers, OR 3.0 (95% CI 1.2-7.9). LOS was further prolonged by failure to mobilise within 1-day of surgery and/or pressure ulcers. Those with either an ACB score ≥ 1 or the use of ≥ 4 drugs daily had intermediate risks. CONCLUSIONS: Anticholinergic agents and polypharmacy in patients with hip fractures are associated with longer LOS in hospital, further accentuated by failure to mobilise within 1-day after surgery and pressure ulcers. This study provides further evidence of the impact of polypharmacy, including those with an ACB, on adverse health outcomes and lends support to reduce potentially inappropriate prescribing.

Adverse stroke outcomes amongst UK ethnic minorities: a multi-centre registry-based cohort study of acute stroke.

OBJECTIVE: Socioeconomic and health inequalities persist in multicultural western countries. Here, we compared outcomes following an acute stroke amongst ethnic minorities with Caucasian patients. METHODS: Data were prospectively collected (2014-2016) from the Sentinel Stroke National Audit Programme for 3309 patients who were admitted with an acute stroke in four UK hyperacute stroke units. Associations between variables were examined by chi-squared tests and multivariable logistic regression, adjusted for age, sex, prestroke functional limitations and co-morbidities, presented as odds ratios (OR) with 95% CI. RESULTS: There were 3046 Caucasian patients, 95 from ethnic minorities (mostly South Asians, Blacks, mixed race and a few in other ethnic groups) and 168 not stated. Compared with Caucasian patients, those from ethnic minorities had a proportionately higher history of diabetes (33.7% vs 15.4%, P < 0.001), but did not differ in other chronic conditions, functional limitations or sex distribution. Their age of stroke onset was younger both in women (76.8 year vs 83.2 year, P < 0.001) and in men (69.5 year vs 75.9 year, P = 0.002). They had greater risk for having a stroke before the median age of 79.5 year: OR = 2.15 (1.36-3.40) or in the first age quartile (< 69 year): OR = 2.91 (1.86-4.54), requiring palliative care within the first 72 h: OR = 3.88 (1.92-7.83), nosocomial pneumonia or urinary tract infection within the first 7 days of admission: OR = 1.86 (1.06-3.28), and in-hospital mortality: OR = 2.50 (1.41-4.44). CONCLUSIONS: Compared with Caucasian patients, those from ethnic minorities had earlier onset of an acute stroke by about 5 years and a 2- to fourfold increase in many stroke-related adverse outcomes and death.

An orthogeriatric service can reduce prolonged hospital length of stay in hospital for older adults admitted with hip fractures: a monocentric study.

BACKGROUND: The Blue Book (2005), recommended guidelines for patients care with fragility fractures. Together with introduction of a National Hip Fracture Database Audit and Best Practice Tariff model to financially incentivise hospitals by payment of a supplement for patients whose care satisfied six clinical standards), have improved hip fracture after-care. However, there is a lack of data-driven evidence to support its effectiveness. We aimed to verify the impact of an orthogeriatric service on hospital length of stay (LOS)-duration from admission to discharge. METHODS: We conducted a repeated cross-sectional study over a 10 year period of older individuals aged ≥ 60 years admitted with hip fractures to a hospital. RESULTS: Altogether 2798 patients, 741 men and 2057 women (respective mean ages; 80.5 ± 10.6 and 83.2 ± 8.9 years) were admitted from their own homes with a hip fracture and survived to discharge. Compared to 2009-2014, LOS during 2015-2019, when the orthogeriatric service was fully implemented, was shorter for all discharge destinations: 10.4 vs 17.5 days (P < 0.001). Each discharge destination showed reductions: back to own homes, 9.7 vs 17.7 days (P < 0.001); to rehabilitation units: 10.8 vs 13.1 days (P < 0.001); to residential care: 15.4 vs 26.2 days (P = 0.001); or nursing care, 24.4 vs 53.1 days (P < 0.001). During 2009-2014, the risk of staying > 3 weeks in hospital was greater by six-fold and pressure ulcers by three-fold. The number of bed days for every thousand patients per year was also shortened during 2015-2019 by: 1665 days for discharge back to own homes; 469 days with transfer to rehabilitation units; 1258 days for discharge to residential care, and 5465 days to nursing care. Estimated annual savings (2017 costs) per thousand patients after complete establishment of the service was about £2.7 m. CONCLUSIONS: Implementation of an orthogeriatric service generated significant reductions in hospital LOS for all patients, with associated cost-savings, especially for those discharged to nursing care.

Evaluation of independent risk factors associated with surgical site infections from caesarean section.

BACKGROUND: The present study assessed factors associated with the risk of surgical site infections (SSI) after a caesarean section (C-section). METHODS: Data were collected in 1682 women undergoing elective (53.9%) and emergency (46.1%) C-sections between 1st August 2020, and 30th December 2021, at a National Health Service hospital (Surrey, UK). RESULTS: At the time of C-section, the mean age was 33.1 yr (SD ± 5.2). Compared to women with BMI < 30 kg/m2, those with a BMI ≥ 35 kg/m2 had a greater risk of SSI, OR 4.07 (95%CI 2.48-6.69). Women with a history of smoking had a greater risk of SSI than those who had never smoked, OR 1.69 (95%CI 1.05-2.27). Women with a BMI ≥ 30 kg/m2 and had a smoking history or emergency C-section had 3- to tenfold increases for these adverse outcomes. Ethnic minority, diabetes or previous C-section did not associate with any of the outcomes. CONCLUSIONS: High BMI, smoking, and emergency C-section are independent risk factors for SSI from C-section. Women planning conception should avoid excess body weight and smoking. Women with diabetes and from ethnic minority backgrounds did not have increased risks of SSI, indicating a consistent standard of care for all patients.

Determination of independent risk factors for early healthcare-associated infections acquired after acute stroke admission: A multi-centre registry-based cohort study.

OBJECTIVE: Healthcare-associated infections (HCAIs) in patients admitted with acute conditions pose a serious risk to patients and a major challenge to healthcare services. However, there is a lack of consistency in reporting aetiological risk factors, particularly in acute stroke patients. Here, we determined independent risk factors of two common HCAIs (urinary tract infection and pneumonia) acquired within 7-days of admission after an acute stroke. METHODS: Data were prospectively collected (2014-2016) from the Sentinel Stroke National Audit Programme for 3,309 patients (mean age=76.2yr, SD=13.5) admitted to four UK hyperacute stroke units. Associations between variables were assessed by forward stepwise multivariable logistic regression (odds ratios, 95 % confidence intervals). RESULTS: The rate of urinary tract infection and/or pneumonia occurring within 7-days of admission was 15.0 %. The risk of urinary tract infection and/or pneumonia was increased amongst women: OR = 1.35 (1.08-1.68); patients from ethnic minority backgrounds: OR = 1.77 (1.01-3.10); patients aged 70-79 years: OR = 2.08 (1.42-3.06), and ≥80 years: OR = 3.20 (2.26-4.55); history of hypertension: OR = 1.59 (1.27-1.98); history of atrial fibrillation: OR = 1.67 (1.32-2.12); pre-stroke disability: OR = 2.08 (1.44-3.00); intracranial haemorrhage: OR = 1.41 (1.07-1.86); severe stroke: OR = 3.21 (2.32-4.45); swallow screening within 4-72 h: OR = 1.42 (1.08-1.86); swallow screening beyond 72 h: OR = 1.70 (1.08-2.70). History of congestive heart failure, diabetes and previous stroke did not significantly associate with HCAIs. CONCLUSIONS: A profile of independent risk factors for two common HCAIs in acute stroke was identified. These findings provide valuable information for timely intervention to reduce HCAIs, and the ability to minimise subsequent adverse outcomes.

Blood group and ischemic stroke, myocardial infarction, and peripheral vascular disease: A meta-analysis of over 145,000 cases and 2,000,000 controls.

OBJECTIVE: Cardiovascular illnesses have been associated to ABO blood types, specifically through an effect on von Willebrand factor and factor FVIII levels. We conducted a meta-analysis to comprehensively explore the relationship between blood groups and ischemic stroke, myocardial infarction, and peripheral vascular disease. MATERIALS AND METHODS: A comprehensive meta-analysis was undertaken to investigate blood groups and ischemic stroke (IS), myocardial infarction (MI) and peripheral vascular disease (PVD). Odds ratios (OR) were used to assess the relationship between blood groups and disease. RevMan v5,4 was used to statistically analyse the results. Risk of bias was assessed using the Newcastle-Ottawa scale. RESULTS: A total of 72 studies (18 ischemic stroke, 37 myocardial infarction, 17 peripheral vascular disease) met our search criteria, totalling 145,499 cases and 2,113,736 controls. Mean age ranged between 18 and 90 years. Compared to blood group-O, non-O blood group had an increased association with IS (OR=1.13, 95%Cl: 1.07-1.21, P < 0.001), MI (OR=1.17, 95%Cl: 1.11-1.24, P < 0.001) and PVD (OR=1.15, 95%Cl: 1.04-1.28, P=0.005). Compared to blood group-O, blood group A had a stronger statistically significant association to IS (OR=1.19, P=0.001), MI (OR=1.22, P < 0.001) and PVD (OR=1.15, P=0.03). Blood group-B has the lowest risk associated with MI (OR=1.09, P=0.01). In addition, blood groups AB had a stronger statistically significant association to IS (OR=1.24, P=0.01), and MI (OR=1.20, P < 0.001) compared with the other blood groups. CONCLUSIONS: Compared to blood group-O, groups A and AB are strongly associated to ischemic stroke, myocardial infarction, and peripheral vascular disease.

Changes in Characteristics and Outcomes of Patients Undergoing Surgery for Hip Fractures Following the Initiation of Orthogeriatric Service: Temporal Trend Analysis.

The Blue Book published by the British Orthopaedic Association and British Geriatrics Society, together with the introduction of National Hip Fracture Database Audit and Best Practice Tariff, have been influential in improving hip fracture care. We examined ten-year (2009-2019) changes in hip fracture outcomes after establishing an orthogeriatric service based on these initiatives, in 1081 men and 2891 women (mean age = 83.5 ± 9.1 years). Temporal trends in the annual percentage change (APC) of outcomes were identified using the Joinpoint Regression Program v4.7.0.0. The proportions of patients operated beyond 36 h of admission fell sharply during the first two years: APC = - 53.7% (95% CI - 68.3, - 5.2, P = 0.003), followed by a small rise thereafter: APC = 5.8% (95% CI 0.5, 11.3, P = 0.036). Hip surgery increased progressively in patients > 90 years old: APC = 3.3 (95% CI 1.0, 5.8, P = 0.011) and those with American Society of Anaesthesiologists grade ≥ 3: APC = 12.4 (95% CI 8.8, 16.1, P < 0.001). There was a significant decline in pressure ulcers amongst patients < 90 years old: APC = - 17.9 (95% CI - 32.7, 0.0, P = 0.050) and also a significant decline in mortality amongst those > 90 years old: APC = - 7.1 (95% CI - 12.6, - 1.3, P = 0.024). Prolonged length of stay (> 23 days) declined from 2013: APC = - 24.6% (95% CI - 31.2, - 17.4, P < 0.001). New discharge to nursing care declined moderately over 2009-2016 (APC = - 10.6, 95% CI - 17.2, - 2.7, P = 0.017) and sharply thereafter (APC = - 47.5%, 95%CI - 71.7, - 2.7, P = 0.043). The rate of patients returning home was decreasing (APC = - 2.9, 95% CI - 5.1, - 0.7, P = 0.016), whilst new discharge to rehabilitation was increasing (APC = 8.4, 95% CI 4.0, 13.0; P = 0.002). In conclusion, the establishment of an orthogeriatric service was associated with a reduction of elapsed time to hip surgery, a progressive increase in surgery carried out on high-risk adults and a decline in adverse outcomes.

Adverse consequences of immediate thrombolysis-related complications: a multi-centre registry-based cohort study of acute stroke.

Complications following thrombolysis for stroke are well documented, and mostly concentrated on haemorrhage. However, the consequences of patients who experience any immediate thrombolysis-related complications (TRC) compared to patients without immediate TRC have not been examined. Prospectively collected data from the Sentinel Stroke National Audit Programme were analysed. Thrombolysis was performed in 451 patients (52.1% men; 75.3 years ± 13.2) admitted with acute ischaemic stroke (AIS) in four UK centres between 2014 and 2016. Adverse consequences following immediate TRC were assessed using logistic regression, adjusted for age, sex and co-morbidities. Twenty-nine patients (6.4%) acquired immediate TRC. Compared to patients without, individuals with immediate TRC had greater adjusted risks of: moderately-severe or severe stroke (National Institutes of Health for Stroke Scale score ≥ 16) at 24-h (5.7% vs 24.7%, OR 3.9, 95% CI 1.4-11.1); worst level of consciousness (LOC) in the first 7 days (score ≥ 1; 25.0 vs 60.7, OR 4.6, 95% CI 2.1-10.2); urinary tract infection or pneumonia within 7-days of admission (13.5% vs 39.3%, OR 3.2, 95% CI 1.3-7.7); length of stay (LOS) on hyperacute stroke unit (HASU) ≥ 2 weeks (34.7% vs 66.7%, OR 5.2, 95% CI 1.5-18.4); mortality (13.0% vs 41.4%, OR 3.7, 95% CI 1.6-8.4); moderately-severe or severe disability (modified Rankin Scale score ≥ 4) at discharge (26.8% vs 65.5%, OR 4.7, 95% CI 2.1-10.9); palliative care by discharge date (5.1% vs 24.1%, OR 5.1, 95% CI 1.7-15.7). The median LOS on the HASU was longer (7 days vs 30 days, Kruskal-Wallis test: χ2 = 8.9, p = 0.003) while stroke severity did not improve (NIHSS score at 24-h post-thrombolysis minus NIHSS score at arrival = - 4 vs 0, χ2 = 24.3, p < 0.001). In conclusion, the risk of nosocomial infections, worsening of stroke severity, longer HASU stay, disability and death is increased following immediate TRC. The management of patients following immediate TRC is more complex than previously thought and such complexity needs to be considered when planning an increased thrombolysis service.

Comparison of characteristics, management and outcomes in hospital-onset and community-onset stroke: a multi-centre registry-based cohort study of acute stroke.

OBJECTIVE: Hospital-onset stroke (HOS) is associated with poorer outcomes than community-onset stroke (COS). Previous studies have variably documented patient characteristics and outcome measures; here, we compare in detail characteristics, management and outcomes of HOS and COS. METHODS: A total of 1656 men (mean age ± SD = 73.1 years ± 13.2) and 1653 women (79.3 years ± 13.0), with data prospectively collected (2014-2016) from the Sentinel Stroke National Audit Programme, were admitted with acute stroke in four UK hyperacute stroke units (HASU). Associations between variables were examined by chi-squared tests and multivariable logistic regression (COS as reference). RESULTS: There were 272 HOS and 3037 COS patients with mean ages of 80.2 years ± 12.5 and 76.4 years ± SD13.5 and equal sex distribution. Compared to COS, HOS had higher proportions ≥ 80 years (64.0% vs 46.4%), congestive heart failure (16.9% vs 4.9%), atrial fibrillation (25.0% vs 19.7%) and pre-stroke disability (9.6% vs 5.1%), and similar history of stroke, hypertension, diabetes, stroke type and severity of stroke. After age, sex and co-morbidities adjustments, HOS had greater risk of pneumonia: OR (95%CI) = 1.9 (1.3-2.6); malnutrition: OR = 2.2 (1.7-2.9); immediate thrombolysis complications: OR = 5.3 (1.5-18.2); length of stay on HASU > 3 weeks: OR = 2.5 (1.8-3.4); post-stroke disability: OR = 1.8 (1.4-2.4); and in-hospital mortality: OR = 1.8 (1.2-2.4), as well as greater support at discharge including palliative care: OR = 1.9 (1.3-2.8); nursing care: OR = 2.0 (1.3-4.0), help for daily living activities: OR = 1.6 (1.1-2.2); and joint-care planning: OR = 1.5 (1.1-1.9). CONCLUSIONS: This detailed analysis of underlying differences in subject characteristics between patients with HOS or COS and adverse consequences provides further insights into understanding poorer outcomes associated with HOS.

Evaluation of the association of length of stay in hospital and outcomes.

BACKGROUND: There exist wide variations in healthcare quality within the National Health Service (NHS). A shorter hospital length of stay (LOS) has been implicated as premature discharge, that may in turn lead to adverse consequences. We tested the hypothesis that a short LOS might be associated with increased risk of readmissions within 28 days of hospital discharge and also post-discharge mortality. METHODS: We conducted a single-centred study of 32 270 (46.1% men) consecutive alive-discharge episodes (mean age = 64.0 years, standard deviation = 20.5, range = 18-107 years), collected between 01/04/2017 and 31/03/2019. Associations of LOS tertiles (middle tertile as a reference) with readmissions and mortality were assessed using observed/expected ratios, and logistic and Cox regressions to estimate odds (OR) and hazard ratios (HR) (adjusted for age, sex, patients' severity of underlying health status and index admissions), with 95% confidence intervals (CIs). RESULTS: The observed numbers of readmissions within 28 days of hospital discharge or post-discharge mortality were lower than expected (observed: expected ratio < 1) in patients in the bottom tertile (<1.2 days) and middle tertile (1.2-4.3 days) of LOS, whilst higher than expected (observed: expected ratio > 1) in patients in the top tertile (>4.3 days), amongst all ages. Patients in the top tertile of LOS had increased risks for one readmission: OR = 2.32 (95% CI = 1.86-2.88) or ≥2 readmissions: OR = 6.17 (95% CI = 5.11-7.45), death within 30 days: OR = 2.87 (95% CI = 2.34-3.51), and within six months of discharge: OR = 2.52 (95% CI = 2.23-2.85), and death over a two-year period: HR = 2.25 (95% CI = 2.05-2.47). The LOS explained 7.4% and 15.9% of the total variance (r2) in one readmission and ≥2 readmissions, and 9.1% and 10.0% of the total variance in mortality with 30 days and within six months of hospital discharge, respectively. Within the bottom, middle and top tertiles of the initial LOS, the median duration from hospital discharge to death progressively shortened from 136, 126 to 80 days, whilst LOS during readmission lengthened from 0.4, 0.9 to 2.8 days, respectively. CONCLUSION: Short LOS in hospital was associated with favourable post-discharge outcomes such as early readmission and mortality, and with a delay in time interval from discharge to death and shorter LOS in hospital during readmission. These findings indicate that timely discharge from our hospital meets the aims of the NHS-generated national improvement programme, Getting It Right First Time.

Predicting Stroke Complications in Hospital and Functional Status at Discharge by Clustering of Cardiovascular Diseases a Multi-Centre Registry-Based Study of Acute Stroke.

OBJECTIVE: Indicators for outcomes following acute stroke are lacking. We have developed novel evidence-based criteria for identifying outcomes of acute stroke using the presence of clusters of coexisting cardiovascular disease (CVD). MATERIALS AND METHODS: Analysis of prospectively collected data from the Sentinel Stroke National Audit Programme (SSNAP). A total of 1656 men (mean age ±SD=73.1yrs±13.2) and 1653 women (79.3yrs±13.0) were admitted with acute stroke (83.3% ischaemic, 15.7% intracranial haemorrhagic), 1.0% unspecified) in four major UK hyperacute stroke units (HASU) between 2014 and 2016. Four categories from cardiovascular disease Congestive heart failure, Atrial fibrillation, pre-existing Stroke and Hypertension (CASH).were constructed: CASH-0 (no coexisting CVD); CASH-1 (any one coexisting CVD); CASH-2 (any two coexisting CVD); CASH-3 (any three or all four coexisting CVD). These were tested against outcomes, adjusted for age and sex. RESULTS: Compared to CASH-0, individuals with CASH-3 had greatest risks of in-hospital mortality (11.1% vs 24.5%, OR=1.8, 95%CI=1.3-2.7) and disability (modified Rankin Scale score ≥4) at discharge (24.2% vs 46.2%, OR=1.9, 95%CI=1.4-2.7), urinary tract infection (3.8% vs 14.6%, OR= 3.3, 95%CI= 1.9-5.5), and pneumonia (7.1% vs 20.6%, OR= 2.6, 95%CI= 1.7-4.0); length of stay on HASU >14 days (29.8% vs 39.3%, OR=1.8, 95%CI=1.3-2.6); and joint-care planning (20.9% vs 29.8%, OR=1.4, 95%CI=1.0-2.0). CONCLUSIONS: We present a simple tool for estimating the risk of adverse outcomes of acute stroke including death, disability at discharge, nosocomial infections, prolonged length of stay, as well as any joint care planning. CASH-0 indicates a low level and CASH-3 indicates a high level of risk of such complications after stroke.

Changes in cortisol levels by continuous positive airway pressure in patients with obstructive sleep apnoea: Meta-analysis of 637 individuals.

BACKGROUND: Obesity, obstructive sleep apnoea (OSA) and hypertension frequently coexist and are associated with elevated cortisol levels. Identification and treatment of such patients is important when investigating for suspected Cushing's syndrome and hypertension. Studies of the impact of continuous positive airway pressure (CPAP) on cortisol and blood pressure are limited by the small sample size and show conflicting findings. We conducted a meta-analysis to document changes in the levels of cortisol and blood pressure in response to CPAP treatment of OSA. METHODS: Meta-analysis was conducted using RevMan (v5.3) and expressed in standardized mean difference (SMD) for catecholamines and mean difference for systolic (SBP) and diastolic blood pressure (DBP). The quality of the studies was evaluated using standard tools for assessing the risk of bias. RESULTS: A total of 22 studies met our search criteria; they consisted of 16 prospective cohort studies (PCS) that recruited 385 participants and six randomized control trials (RCT) totalling 252 participants. The range of mean age was 41-62 years and BMI 27.2-35.1 kg/m2 . CPAP treatment reduced plasma cortisol levels in PCS: SMD = -0.28 [95% confidence interval (95% CI) = -0.45 to -0.12], I2 = 0%, p = .79 and in RCT: SMD = -0.39 (95% CI = -0.75 to -0.03), I2 = 28.3%, p = .25. CPAP treatment reduced SBP by 5.4 mmHg (95% CI = 1.7-9.1) and DBP by 3.3 mmHg (95% CI = 1.0-5.7). Interstudy heterogeneity was low for all studies. Bias in most RCT arose from the lack of blinding of participants and personnel. CONCLUSION: CPAP treatment in individuals with OSA reduces cortisol levels and blood pressure.

Validity of the LACE index for identifying frequent early readmissions after hospital discharge in children.

The LACE index scoring tool has been designed to predict hospital readmissions in adults. We aimed to evaluate the ability of the LACE index to identify children at risk of frequent readmissions. We analysed data from alive-discharge episodes (1 April 2017 to 31 March 2019) for 6546 males and 5875 females from birth to 18 years. The LACE index predicted frequent all-cause readmissions within 28 days of hospital discharge with high accuracy: the area under the curve = 86.9% (95% confidence interval = 84.3-89.5%, p < 0.001). Two-graph receiver operating characteristic curve analysis revealed the LACE index cutoff to be 4.3, where sensitivity equals specificity, to predict frequent readmissions. Compared with those with a LACE index score = 0-4 (event rates, 0.3%), those with a score > 4 (event rates, 3.7%) were at increased risk of frequent readmissions: age- and sex-adjusted odds ratio = 12.4 (95% confidence interval = 8.0-19.2, p < 0.001) and death within 30 days of discharge: OR = 5.0 (95% CI = 1.5-16.7). The ORs for frequent readmissions were between 6 and 14 for children of different age categories (neonate, infant, young child and adolescent), except for patients in the child category (6-12 years) where odds ratio was 2.8.Conclusion: The LACE index can be used in healthcare services to identify children at risk of frequent readmissions. Focus should be directed at individuals with a LACE index score above 4 to help reduce risk of readmissions. What is Known: • The LACE index scoring tool has been widely used to predict hospital readmissions in adults. What is New: • Compared with children with a LACE index score of 0-4 (event rates, 0.3%), those with a score > 4 are at increased risk of frequent readmissions by 14-fold. • The cutoff of a LACE index of 4 may be a useful level to identify children at increased risk of frequent readmissions.

LACE index predicts age-specific unplanned readmissions and mortality after hospital discharge.

BACKGROUND: The LACE index scoring tool (Length of stay, Acuity of admission, Co-morbidities and Emergency department visits) has been designed to predict hospital readmissions. We evaluated the ability of the LACE index to predict age-specific frequent admissions and mortality. METHODS: Analysis of prospectively collected data of alive-discharge episodes between 01/04/2017 and 31/03/2019 in an NHS hospital. Data on 14,878 men and 17,392 women of mean age 64.0 years, SD = 20.5, range 18.0-106.7 years were analysed. The association of the LACE index with frequency of all-cause readmissions within 28 days of discharge and over a 2-year period, and with all-cause mortality within 30 days or within 6 months after discharge from hospital were evaluated. RESULTS: Within LACE index scores of 0-4, 5-9 or ≥ 10, the proportions of readmission ≥ 2 times within 28 days of discharge were 0.1, 1.3 and 9.2% (χ2 = 3070, p < 0.001) and over a 2-year period were 1.7, 4.8 and 19.1% (χ2 = 3364, p < 0.001). Compared with a LACE index score of 0-4, a score ≥ 10 increased the risk (adjusted for age, sex and frequency of admissions) of death within 6 months of discharge by 6.8-fold (5.1-9.0, p < 0.001) among all ages, and most strongly in youngest individuals (18.0-49.9 years): adjusted odds ratio = 16.1 (5.7-45.8, p < 0.001). For those aged 50-59.9, 60-69.9, 70-79.9 and ≥ 80 years, odds ratios reduced progressively to 9.6, 7.7, 5.1 and 2.3, respectively. Similar patterns were observed for the association of LACE index with mortality within 30 days of hospital discharge. CONCLUSIONS: The LACE index predicts short-term and long-term frequent admissions and short-term and medium-term mortality, most pronounced among younger individuals, after hospital discharge.

Prestroke Disability Predicts Adverse Poststroke Outcome: A Registry-Based Prospective Cohort Study of Acute Stroke.

Background and Purpose- Information on what effect disability before stroke can have on stroke outcome is lacking. We assessed prestroke disability in relation to poststroke hospital outcome. Methods- Analysis of prospectively collected data from the Sentinel Stroke National Audit Programme. A total of 1656 men (mean age ±SD =73.1±13.2 years) and 1653 women (79.3±13.0 years) were admitted to hyperacute stroke units with acute stroke in 4 major UK between 2014 and 2016. Prestroke disability, assessed by modified Rankin Scale (mRS), was tested against poststroke adverse outcomes, adjusted for age, sex, and coexisting morbidities. Results- Compared with patients with prestroke mRS score =0, individuals with prestroke mRS scores =3, 4, or 5 had greater adjusted risks of moderately severe or severe stroke on arrival (4.4% versus 16.7%; odds ratio [OR], 3.2 [95% CI, 2.3-4.6] P<0.001); urinary tract infection or pneumonia within 7 days of admission (9.6% versus 35.9%; OR, 3.7 [95% CI, 2.8-4.8] P<0.001); mortality (7.2% versus 37.1%; OR, 4.9 [95% CI, 3.7-6.5] P<0.001); requiring help with activities of daily living on discharge (12.3% versus 26.7%; OR, 3.1 [95% CI, 2.3-4.1] P<0.001); and transferred to new care home (2.4% versus 9.4%; OR, 2.1 [95% CI, 1.3-3.3] P=0.002). Patients with mRS scores =1 or 2 had intermediate risk of adverse outcomes. Overall, those with a mRS score =1 or 2 had length of stay on hyperacute stroke units extended by 5.3 days (95% CI, 2.8-7.7; P<0.001) and mRS score =3, 4 or 5 by 7.2 days (95% CI, 4.0-10.5; P<0.001). Conclusions- Individuals with evidence of prestroke disability, assessed by mRS, had significantly increased risk of poststroke adverse outcomes and longer length of stay on hyperacute stroke units and higher level of care on discharge.