Consensus statement on the management of pulmonary hypertension in clinical practice in the UK and Ireland

Heart ◽  
2008 ◽  
Vol 94 (Suppl 1) ◽  
pp. i1-i41 ◽  
Author(s):  
2003 ◽  
Vol 2 (1) ◽  
pp. 131
Author(s):  
A ZAPHIRIOU ◽  
S ROBB ◽  
G MENDEZ ◽  
T MURRAYTHOMAS ◽  
S HARDMAN ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Pereira ◽  
J.G Santos ◽  
M.J Loureiro ◽  
F Ferreira ◽  
A.R Almeida ◽  
...  

Abstract Introduction Thermodilution (TD) and indirect Fick (IF) methods are widely used to measure cardiac output (CO). They are often used interchangeably to make critical clinical decisions, yet few studies have compared these approaches concerning agreement and comparative prognostic value as applied in medical practice. Purpose To assess agreement between TD and IF methods and to compare how well these methods predict mortality. Methods Retrospective cohort study including all consecutive right heart catheterizations performed in a referral pulmonary hypertension (PH) centre from 2010 to 2018. Cardiac index (CI) was calculated by indexed CO to body surface area. PH was classified according to the new definition of the 6st World Symposium on Pulmonary Hypertension 2018 [mean pulmonary arterial pressure (mPAP) >20 mmHg]. Patients with cardiac or extra-cardiac shunts or significant (moderate to severe or severe) tricuspid regurgitation were excluded. All-cause mortality over 1 year after right heart catheterization was recorded. Logistic regression was used to identify predictors of the adverse event. Results From a total of 569 procedures, 424 fulfilled the inclusion criteria: mean age 56.7±15.4 years, 67.3% female. Haemodynamic parameters were diagnosed of PH in 86.2% of cases: mPAP 35.3±15.3 mmHg, 83.6% pre-capillary subtype, 42.9% belonging to group 4 (chronic thromboembolic pulmonary hypertension) and 26.6% to group 1 (pulmonary arterial hypertension). Mean values of CO and CI were, respectively, 4.5±2.8 L/min and 2.5±0.8 L/min/m2 measured by TD and 4.6±2.4 L/min and 2.6±1.3 L/min/m2 measured by IF method. There was a median difference (IF minus TD) of - 0.03 / min to CO and - 0.05 L/min/m2 to CI but both meausres correlated only modestly (r=0.6 to TD and r=0.5 to IF). One-year all-cause mortality rate was 5.4% (median time to death was 50.5 days). Lower values of CO and CI assessed by TD were significantly associated with all-cause mortality occurrence (CO TD: 4.5±1.3 L/min versus 3.6±1.0 L/min, p<0.01; CI TD: 2.6±0.7 L/min/m2 versus 2.1±0.4 L/min/m2, p<0.01). No association was observed between CO (p=0.31) and CI (p=0.42) measured by IF method and the adverse event. Logistic regression identified 2 independent predictors of all-cause mortality: TD CO (OR 0.55, 95% CI 0.38–0.79, p<0.01) and TD CI (OR 0.34, 95% CI 0.17–0.67, p<0.01). Similar results were obtained when patients diagnosed with PH were independently analyzed. Conclusions There is only modest agreement between TD and IF CO and CI estimates. Despite being more time-consuming, TD measurements were predictors of all-cause mortality and present a highest prognostic value. These findings favored their used over IF in clinical practice. Funding Acknowledgement Type of funding source: None


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P McEwan ◽  
L Hoskin ◽  
K Badora ◽  
D Sugrue ◽  
G James ◽  
...  

Abstract Background Patients with chronic kidney disease (CKD), heart failure (HF), resistant hypertension (RHTN) and diabetes are at an increased risk of hyperkalaemia (HK) which can be potentially life-threatening, as a result of cardiac arrhythmias, cardiac arrest leading to sudden death. In these patients, renin-angiotensin-aldosterone system inhibitors (RAASi), are used to manage several cardiovascular and renal conditions, and are associated with an increased risk of HK. Assessing the burden of HK in real-world clinical practice may concentrate relevant care on those patients most in need, potentially improving patient outcomes and efficiency of the healthcare system. Purpose To assess the burden of HK in a real-world population of UK patients with at least one of: RHTN, Type I or II diabetes, CKD stage 3+, dialysis, HF, or in receipt of a prescription for RAASi. Methods Primary and secondary care data for this retrospective study were obtained from the UK Clinical Practice Research Datalink (CPRD) and linked Hospital Episode Statistics (HES). Eligible patients were identified using READ codes defining the relevant diagnosis, receipt of indication-specific medication, or, in the case of CKD, an estimated glomerular filtration rate (eGFR) ≤60 ml/min/1.73m2 within the study period (01 January 2008 to 30 June 2018) or in the five-year lookback period (2003–2007). The index date was defined as 01 January 2008 or first diagnosis of an eligible condition or RAASi prescription, whichever occurred latest. HK was defined as K+ ≥5.0 mmol/L; thresholds of ≥5.5 mmol/L and ≥6.0 mmol/L were explored as sensitivity analyses. Incidence rates of HK were calculated with 95% confidence intervals (CI). Results The total eligible population across all cohorts was 931,460 patients. RHTN was the most prevalent comorbidity (n=317,135; 34.0%) and dialysis the least prevalent (n=4,415; 0.5%). The majority of the eligible population were prescribed RAASi during follow-up (n=754,523; 81.0%). At a K+ threshold of ≥5.0 mmol/L, the dialysis cohort had the highest rate of HK (501.0 events per 1,000 patient-years), followed by HF (490.9), CKD (410.9), diabetes (355.0), RHTN (261.4) and the RAASi cohort (211.2) (Figure 1). This pattern was still observed at alternative threshold definitions of HK. Conclusion This large real-world study of UK patients demonstrates the burden of hyperkalaemia in high-risk patient populations from the UK. There is a need for effective prevention and treatment of HK, particularly in patients with CKD, dialysis or HF where increased incidence rates are observed which in turn will improve patient outcomes and healthcare resource usage. Figure 1. Rates of HK by condition Funding Acknowledgement Type of funding source: Private company. Main funding source(s): AstraZeneca


2020 ◽  
Vol 9 (2) ◽  
pp. e000756
Author(s):  
Yu Zhen Lau ◽  
Kate Widdows ◽  
Stephen A Roberts ◽  
Sheher Khizar ◽  
Gillian L Stephen ◽  
...  

IntroductionThe UK Department of Health have targeted a reduction in stillbirth by 50% by 2025; to achieve this, the first version of the Saving Babies’ Lives Care Bundle (SBLCB) was developed by NHS England in 2016 to improve four key areas of antenatal and intrapartum care. Clinical practice guidelines are a key means by which quality improvement initiatives are disseminated to front-line staff.MethodsSeventy-five clinical practice guidelines covering the four areas of antenatal and intrapartum care in the first version of SBLCB were obtained from 19 maternity providers. The content and quality of guidelines were evaluated using the Appraisal of Guidelines for Research and Evaluation (AGREE II) tool. Maternity health professionals in participating organisations were invited to participate in an anonymous survey to determine perceptions toward and experiences of the use of clinical practice guidelines using a series of Likert scales.ResultsUnit guidelines showed considerable variation in quality with median scores of 50%–58%. Only 4 (5.6%) guidelines were recommended for use in clinical practice without modifications, 54 (75.0%) were recommended for use subject to modifications and 12 (16.7%) were not recommended for use. The lowest scoring domains were ‘rigour of development’, ‘stakeholder involvement’ and ‘applicability’. A significant minority of unit guidelines omitted recommendations from national guidelines. The majority of staff believed that clinical practice guidelines standardised and improved the quality of care but over 30% had insufficient time to use them and 24% stated they were unable to implement recommendations.ConclusionTo successfully implement initiatives such as the SBLCB change is needed to local clinical practice guidelines to reduce variation in quality and to ensure they are consistent with national recommendations . In addition, to improve clinical practice, adequate time and resources need to be in place to deliver and evaluate care recommended in the SBLCB.


BMJ Open ◽  
2016 ◽  
Vol 6 (1) ◽  
pp. e009147 ◽  
Author(s):  
Lamiae Grimaldi-Bensouda ◽  
Olaf Klungel ◽  
Xavier Kurz ◽  
Mark C H de Groot ◽  
Ana S Maciel Afonso ◽  
...  

2018 ◽  
Vol 78 (1) ◽  
pp. 91-99 ◽  
Author(s):  
Dahai Yu ◽  
Kelvin P Jordan ◽  
Kym I E Snell ◽  
Richard D Riley ◽  
John Bedson ◽  
...  

ObjectivesThe ability to efficiently and accurately predict future risk of primary total hip and knee replacement (THR/TKR) in earlier stages of osteoarthritis (OA) has potentially important applications. We aimed to develop and validate two models to estimate an individual’s risk of primary THR and TKR in patients newly presenting to primary care.MethodsWe identified two cohorts of patients aged ≥40 years newly consulting hip pain/OA and knee pain/OA in the Clinical Practice Research Datalink. Candidate predictors were identified by systematic review, novel hypothesis-free ‘Record-Wide Association Study’ with replication, and panel consensus. Cox proportional hazards models accounting for competing risk of death were applied to derive risk algorithms for THR and TKR. Internal–external cross-validation (IECV) was then applied over geographical regions to validate two models.Results45 predictors for THR and 53 for TKR were identified, reviewed and selected by the panel. 301 052 and 416 030 patients newly consulting between 1992 and 2015 were identified in the hip and knee cohorts, respectively (median follow-up 6 years). The resultant model C-statistics is 0.73 (0.72, 0.73) and 0.79 (0.78, 0.79) for THR (with 20 predictors) and TKR model (with 24 predictors), respectively. The IECV C-statistics ranged between 0.70–0.74 (THR model) and 0.76–0.82 (TKR model); the IECV calibration slope ranged between 0.93–1.07 (THR model) and 0.92–1.12 (TKR model).ConclusionsTwo prediction models with good discrimination and calibration that estimate individuals’ risk of THR and TKR have been developed and validated in large-scale, nationally representative data, and are readily automated in electronic patient records.


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