Parkinson's disease and patient related outcomes in stroke: A matched cohort study

Objective: To evaluate post-stroke outcomes in patients with Parkinson's disease (PD). Methods: A matched cohort study was performed. Stroke patients with PD and non-PD controls were extracted from the Thailand Universal Insurance Database. Logistic regressions were used to evaluate the association between PD and in-hospital outcomes (mortality and complications). The PD-associated long-term mortality was evaluated using Royston-Parmar models. Results: A total of 1967 patients with PD were identified between 2003 and 2015 and matched to controls (1:4) by age, sex, admission year, and stroke type. PD patients had decreased odds of in-hospital death: OR (95% CI) 0.66 (0.52 – 0.84) and 0.61 (0.43 – 0.85) after ischaemic and haemorrhagic strokes, respectively. PD was associated with a length-of-stay greater than median (4 days) after both stroke types: 1.37 (1.21 – 1.56) and 1.45 (1.05 – 2.00), respectively. Ischaemic stroke patients with PD also had increased odds of developing pneumonia, sepsis and AKI: 1.52 (1.2 – 1.83), 1.54 (1.16 – 2.05), and 1.33 (1.02 – 1.73). In haemorrhagic stroke patients, PD was associated with pneumonia: 1.89 (1.31 – 2.72). Survival analyses showed that PD was protective against death in the short term (HR=0.66; 95% CI 0.53–0.83 ischaemic, and HR=0.50; 95% CI 0.37 – 0.68 haemorrhagic stroke), but leads to an increased mortality risk approximately 1 and 3 months after ischaemic and haemorrhagic stroke, respectively. Conclusion: PD is associated with a reduced mortality risk during the first 2–4 weeks post-admission but an increased risk thereafter, in addition to increased odds of in-hospital complications and prolonged hospitalisation

Age and frailty are independently associated with increased COVID-19 mortality and increased care needs in survivors: results of an international multi-centre study

Introduction: Increased mortality has been demonstrated in older adults with COVID-19, but the effect of frailty has been unclear. Methods: This multi-centre cohort study involved patients aged 18 years and older hospitalised with COVID-19, using routinely collected data. We used Cox regression analysis to assess the impact of age, frailty, and delirium on the risk of inpatient mortality, adjusting for sex, illness severity, inflammation, and co-morbidities. We used ordinal logistic regression analysis to assess the impact of age, Clinical Frailty Scale (CFS), and delirium on risk of increased care requirements on discharge, adjusting for the same variables. Results: Data from 5,711 patients from 55 hospitals in 12 countries were included (median age 74, IQR 54–83; 55.2% male). The risk of death increased independently with increasing age (>80 vs 18–49: HR 3.57, CI 2.54–5.02), frailty (CFS 8 vs 1–3: HR 3.03, CI 2.29–4.00) inflammation, renal disease, cardiovascular disease, and cancer, but not delirium. Age, frailty (CFS 7 vs 1–3: OR 7.00, CI 5.27–9.32), delirium, dementia, and mental health diagnoses were all associated with increased risk of higher care needs on discharge. The likelihood of adverse outcomes increased across all grades of CFS from 4 to 9. Conclusions: Age and frailty are independently associated with adverse outcomes in COVID-19. Risk of increased care needs was also increased in survivors of COVID-19 with frailty or older age

Risk of fracture amongst patients with Parkinson's disease and other forms of parkinsonism

Acknowledgements We thank all the participants who took part, the research fellows (Kate Taylor, Robert Caslake, David McGhee, Angus Macleod) and nurses (Clare Harris, Joanna Gordon, Anne Hayman, Hazel Forbes) who helped assess the participants, and the study secretaries (Susan Kilpatrick, Pam Rebecca) and data management team (Katie Wilde, David Ritchie). The PINE study was funded by the BMA Doris Hillier award, Parkinson's UK, the RS McDonald Trust, NHS Grampian Endowments, SPRING and the BUPA Foundation. None of the funders had any influence in the study design, the collection, analysis and interpretation of the data, the writing of the report or the decision to submit the article for publication.Peer reviewedPostprintPostprintPostprin

First delirium episode in Parkinson’s disease and parkinsonism: incidence, predictors, and outcomes

To define the incidence, predictors and prognosis of the first hospital delirium episode in Parkinson’s disease (PD) and atypical parkinsonism (AP), we identified the first hospital episode of delirium after diagnosis in the Parkinsonism Incidence in North-East Scotland (PINE) study, a prospective community-based incidence cohort of parkinsonism, using chart-based criteria to define delirium. Of 296 patients (189=PD, 107=AP [dementia with Lewy bodies, progressive supranuclear palsy, multiple system atrophy, vascular parkinsonism]), 152 developed delirium (PD = 98, AP = 54). Incidence of first hospital delirium episode per 100 person years was 8.1 (95% confidence interval [CI] 6.6–9.9) in PD and 18.5 (95% CI 13.9–24.7) in AP. Independent predictors of delirium were atypical parkinsonism (Hazard ratio [HR] vs PD = 2.83 [95% CI 1.60–5.03], age in PD but not in AP (HR for 10-year increase 2.29 [95% CI 1.74–3.02]), baseline MMSE (HR = 0.94 [95% CI 0.89–0.99]), APOE ε4 in PD (HR 2.16 [95% CI 1.15–4.08]), and MAPT H1/H1 in PD (HR 2.08 [95% CI 1.08–4.00]). Hazards of dementia and death after delirium vs before delirium were increased (dementia: HR = 6.93 [95% CI 4.18–11.48] in parkinsonism; death: HR = 3.76 [95% CI 2.65–5.35] in PD, 1.59 [95% CI 1.04–2.42] in AP). Delirium is a common non-motor feature of PD and AP and is associated with increased hazards of dementia and mortality. Whether interventions for early identification and treatment improve outcomes requires investigation.publishedVersio

Urate and Homocysteine: Predicting Motor and Cognitive Changes in Newly Diagnosed Parkinson\u27s Disease

Background: Urate and homocysteine are potential biomarkers for disease progression in Parkinson\u27s disease (PD). Baseline serum urate concentration has been shown to predict motor but not cognitive decline. The relationship between serum homocysteine concentration and cognitive and motor impairment is unknown. Objectives: The aim of this study was to examine the association between baseline serum urate and homocysteine, and prospective measures of disease progression and cognition over 54 months in early PD. Methods: 154 newly diagnosed PD participants and 99 age-matched controls completed a schedule of assessments at baseline, 18, 36 and 54 months. The Movement Disorders Society Unified Parkinson\u27s Disease Scale Part III (MDS-UPDRS III) was used to assess motor severity. The Montreal Cognitive Assessment (MoCA) was used to assess global cognition. Serum samples drawn at baseline were analysed for urate, homocysteine, red cell folate and vitamin B12 concentrations. Results: Baseline urate was 331.4±83.8 and 302.7±78.0μmol/L for control and PD participants, respectively (p = 0.015). Baseline homocysteine was 9.6±3.3 and 11.1±3.8μmol/L for controls and PD participants, respectively (p \u3c 0.01). Linear mixed effects modelling showed that lower baseline urate (β= 0.02, p \u3c 0.001) and higher homocysteine (β= 0.29, p \u3c 0.05) predicted decline in motor function. Only higher homocysteine concentrations at baseline, however, predicted declining MoCA scores over 54 months (β= 0.11, p \u3c 0.01). Conclusions: Lower serum urate concentration is associated with worsening motor function; while higher homocysteine concentration is associated with change in motor function and cognitive decline. Therefore, urate and homocysteine may be suitable biomarkers for predicting motor and cognitive decline in early PD

First delirium episode in Parkinson’s disease and parkinsonism: incidence, predictors, and outcomes

To define the incidence, predictors and prognosis of the first hospital delirium episode in Parkinson’s disease (PD) and atypical parkinsonism (AP), we identified the first hospital episode of delirium after diagnosis in the Parkinsonism Incidence in North-East Scotland (PINE) study, a prospective community-based incidence cohort of parkinsonism, using chart-based criteria to define delirium. Of 296 patients (189=PD, 107=AP [dementia with Lewy bodies, progressive supranuclear palsy, multiple system atrophy, vascular parkinsonism]), 152 developed delirium (PD = 98, AP = 54). Incidence of first hospital delirium episode per 100 person years was 8.1 (95% confidence interval [CI] 6.6–9.9) in PD and 18.5 (95% CI 13.9–24.7) in AP. Independent predictors of delirium were atypical parkinsonism (Hazard ratio [HR] vs PD = 2.83 [95% CI 1.60–5.03], age in PD but not in AP (HR for 10-year increase 2.29 [95% CI 1.74–3.02]), baseline MMSE (HR = 0.94 [95% CI 0.89–0.99]), APOE ε4 in PD (HR 2.16 [95% CI 1.15–4.08]), and MAPT H1/H1 in PD (HR 2.08 [95% CI 1.08–4.00]). Hazards of dementia and death after delirium vs before delirium were increased (dementia: HR = 6.93 [95% CI 4.18–11.48] in parkinsonism; death: HR = 3.76 [95% CI 2.65–5.35] in PD, 1.59 [95% CI 1.04–2.42] in AP). Delirium is a common non-motor feature of PD and AP and is associated with increased hazards of dementia and mortality. Whether interventions for early identification and treatment improve outcomes requires investigation

Risk of suicide after diagnosis of severe physical health conditions: A retrospective cohort study of 47 million peopleResearch in context

Summary: Background: The diagnosis of a severe physical health condition can cause psychological distress and lead to severe depression. The association between severe physical health conditions and the risk of suicide, and how the risk of suicide changes in the months following diagnosis, are not clear. Methods: We estimated whether a diagnosis of severe physical health conditions is associated with an increase in the risk of death by suicide using a dataset based on the 2011 Census linked to hospital records and death registration records covering 47,354,696 people alive on 1 January 2017 in England. Patients diagnosed with a low-survival cancer, chronic ischaemic heart disease, chronic obstructive pulmonary disease, or degenerative neurological condition were matched to individuals using socio-demographic characteristics from the Census. Using the Aalen-Johansen estimator, we estimated the cumulative incidence of death by suicide occurring between 1 January 2017 and 31 December 2021 (registered by 31 December 2021) in patients and matched controls, adjusted for other potential confounders using inverse probability weighting. Findings: Diagnosis of severe conditions was associated with an increased risk of dying by suicide. One year after diagnosis, the rate of suicide was 21.6 (95% confidence intervals: 14.9–28.4, number of events (N): 39) per 100,000 low-survival cancer patients compared to 9.5 (5.6–14.6, N:16) per 100,000 matched controls. For COPD patients, the one-year suicide rate was 22.4 (19.4–25.5, N:208) per 100,000 COPD patients (matched controls: 10.6, 8.3–13.0, N:85), for ischaemic heart disease 16.1 (14.1–18.2, N:225) per 100,000 patients (matched controls: 8.8, 7.1–10.4, N:128), for degenerative neurological conditions 114.5 (49.6–194.7, N:11) per 100,000 patients. The increase in risk was more pronounced in the first six months after diagnosis or first treatment. Interpretation: A diagnosis of severe physical illness is associated with higher suicide risk. The interaction of physical and mental illness emphasises the importance of collaborative physical and mental health care in these patients. Funding: The Office for National Statistics. KES is the Laing Galazka chair in palliative care at King’s College London, funded by an endowment from Cicely Saunders International and the Kirby Laing Foundation

Parkinson’s Disease and Patient Related Outcomes in Stroke : A matched cohort study

Acknowledgment The following individual should be indexed on PubMed as collaborator: North-Eastern Stroke Research Group Collaborator: Narongrit Kasemap. We gratefully acknowledge the National Health Security Office (NHSO) of Thailand for providing the data.Peer reviewedPostprin

Age and frailty are independently associated with increased COVID-19 mortality and increased care needs in survivors: results of an international multi-centre study

Introduction: Increased mortality has been demonstrated in older adults with coronavirus disease 2019 (COVID-19), but the effect of frailty has been unclear. Methods: This multi-centre cohort study involved patients aged 18 years and older hospitalised with COVID-19, using routinely collected data. We used Cox regression analysis to assess the impact of age, frailty and delirium on the risk of inpatient mortality, adjusting for sex, illness severity, inflammation and co-morbidities. We used ordinal logistic regression analysis to assess the impact of age, Clinical Frailty Scale (CFS) and delirium on risk of increased care requirements on discharge, adjusting for the same variables. Results: Data from 5,711 patients from 55 hospitals in 12 countries were included (median age 74, interquartile range [IQR] 54–83; 55.2% male). The risk of death increased independently with increasing age (>80 versus 18–49: hazard ratio [HR] 3.57, confidence interval [CI] 2.54–5.02), frailty (CFS 8 versus 1–3: HR 3.03, CI 2.29–4.00) inflammation, renal disease, cardiovascular disease and cancer, but not delirium. Age, frailty (CFS 7 versus 1–3: odds ratio 7.00, CI 5.27–9.32), delirium, dementia and mental health diagnoses were all associated with increased risk of higher care needs on discharge. The likelihood of adverse outcomes increased across all grades of CFS from 4 to 9. Conclusion: Age and frailty are independently associated with adverse outcomes in COVID-19. Risk of increased care needs was also increased in survivors of COVID-19 with frailty or older age.</p