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Dive into the research topics where Nikki Earle is active.

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Featured researches published by Nikki Earle.


International Journal of Obesity | 2014

The obesity paradox in heart failure patients with preserved versus reduced ejection fraction: a meta-analysis of individual patient data

R Padwal; Finlay A. McAlister; John J.V. McMurray; Martin R. Cowie; Michael W. Rich; Stuart J. Pocock; Karl Swedberg; Aldo P. Maggioni; G. Gamble; Cono Ariti; Nikki Earle; Gillian A. Whalley; Katrina Poppe; Robert N. Doughty; Antoni Bayes-Genis

Background:In heart failure (HF), obesity, defined as body mass index (BMI) ⩾30 kg m−2, is paradoxically associated with higher survival rates compared with normal-weight patients (the ‘obesity paradox’). We sought to determine if the obesity paradox differed by HF subtype (reduced ejection fraction (HF-REF) versus preserved ejection fraction (HF-PEF)).Patients and Methods:A sub-analysis of the MAGGIC meta-analysis of patient-level data from 14 HF studies was performed. Subjects were divided into five BMI groups: <22.5, 22.5–24.9 (referent), 25–29.9, 30–34.9 and ⩾35 kg m−2. Cox proportional hazards models adjusted for age, sex, aetiology (ischaemic or non-ischaemic), hypertension, diabetes and baseline blood pressure, stratified by study, were used to examine the independent association between BMI and 3-year total mortality. Analyses were conducted for the overall group and within HF-REF and HF-PEF groups.Results:BMI data were available for 23 967 subjects (mean age, 66.8 years; 32% women; 46% NYHA Class II; 50% Class III) and 5609 (23%) died by 3 years. Obese patients were younger, more likely to receive cardiovascular (CV) drug treatment, and had higher comorbidity burdens. Compared with BMI levels between 22.5 and 24.9 kg m−2, the adjusted relative hazards for 3-year mortality in subjects with HF-REF were: hazard ratios (HR)=1.31 (95% confidence interval=1.15–1.50) for BMI <22.5, 0.85 (0.76–0.96) for BMI 25.0–29.9, 0.64 (0.55–0.74) for BMI 30.0–34.9 and 0.95 (0.78–1.15) for BMI ⩾35. Corresponding adjusted HRs for those with HF-PEF were: 1.12 (95% confidence interval=0.80–1.57) for BMI <22.5, 0.74 (0.56–0.97) for BMI 25.0–29.9, 0.64 (0.46–0.88) for BMI 30.0–34.9 and 0.71 (0.49–1.05) for BMI ⩾35.Conclusions:In patients with chronic HF, the obesity paradox was present in both those with reduced and preserved ventricular systolic function. Mortality in both HF subtypes was U-shaped, with a nadir at 30.0–34.9 kg m−2.


European Journal of Heart Failure | 2012

Relationship of serum sodium concentration to mortality in a wide spectrum of heart failure patients with preserved and with reduced ejection fraction: an individual patient data meta-analysis

Dan Rusinaru; Christophe Tribouilloy; Colin Berry; A. Mark Richards; Gillian A. Whalley; Nikki Earle; Katrina Poppe; Marco Guazzi; Stella M. Macin; Michel Komajda; Robert N. Doughty

Hyponatraemia has been associated with reduced survival in patients with heart failure and reduced ejection fraction (HF‐REF). The relationship between serum sodium and outcome is unclear in heart failure with preserved (≥50%) ejection fraction (HF‐PEF). Therefore, we used a large individual patient data meta‐analysis to study the risk of death associated with hyponatraemia in HF‐REF and in HF‐PEF.


Circulation-heart Failure | 2012

Renal Dysfunction in Patients With Heart Failure With Preserved Versus Reduced Ejection Fraction

Finlay A. McAlister; Justin A. Ezekowitz; Luigi Tarantini; Iain B. Squire; Michel Komajda; Antoni Bayes-Genis; Israel Gotsman; Gillian A. Whalley; Nikki Earle; Katrina Poppe; Robert N. Doughty

Background— Prior studies in heart failure (HF) have used the Modification of Diet in Renal Disease (MDRD) equation to calculate estimated glomerular filtration rate (eGFR). The Chronic Kidney Disease-Epidemiology Collaboration Group (CKD-EPI) equation provides a more-accurate eGFR than the MDRD when compared against the radionuclide gold standard. The prevalence and prognostic import of renal dysfunction in HF if the CKD-EPI equation is used rather than the MDRD is uncertain. Methods and Results— We used individual patient data from 25 prospective studies to stratify patients with HF by eGFR using the CKD-EPI and the MDRD equations and examined survival across eGFR strata. In 20 754 patients (15 962 with HF with reduced ejection fraction [HF-REF] and 4792 with HF with preserved ejection fraction [HF-PEF]; mean age, 68 years; deaths per 1000 patient-years, 151; 95% CI, 146–155), 10 589 (51%) and 11 422 (55%) had an eGFR <60 mL/min using the MDRD and CKD-EPI equations, respectively. Use of the CKD-EPI equation resulted in 3760 (18%) patients being reclassified into different eGFR risk strata; 3089 (82%) were placed in a lower eGFR category and exhibited higher all-cause mortality rates (net reclassification improvement with CKD-EPI, 3.7%; 95% CI, 1.5%–5.9%). Reduced eGFR was a stronger predictor of all-cause mortality in HF-REF than in HF-PEF. Conclusions— Use of the CKD-EPI rather than the MDRD equation to calculate eGFR leads to higher estimates of renal dysfunction in HF and a more-accurate categorization of mortality risk. Renal function is more closely related to outcomes in HF-REF than in HF-PEF.Background —Prior studies in heart failure have used the Modification of Diet in Renal Disease (MDRD) equation to estimate Glomerular Filtration Rate (eGFR). The Chronic Kidney Disease-Epidemiology Collaboration Group equation (CKD-EPI) more accurately estimates GFR than the MDRD when compared against the radionuclide gold standard. The prevalence and prognostic import of renal dysfunction in HF if the CKD-EPI equation is used rather than the MDRD is uncertain. Methods and Results —We used individual patient data from 25 prospective studies to stratify heart failure patients by eGFR using the CKD-EPI and the MDRD equations and examined survival across eGFR strata. In 20 754 patients (15 962 with reduced ejection fraction [HF-REF] and 4792 with preserved ejection fraction [HF-PEF], mean age 68 years, 151 [95%CI 146-155] deaths per 1000 patient-years), 10 589 (51%) had eGFR < 60 ml/min using the MDRD equation and 11 422 (55%) using the CKD-EPI equation. Using the CKD-EPI equation resulted in 3760 (18%) patients being re-classified into different eGFR risk strata; 3089 (82%) were placed in a lower eGFR category and exhibited higher all-cause mortality rates (net reclassification improvement with CKD-EPI 3.7%, 95% CI 1.5% to 5.9%). Reduced eGFR was a stronger predictor of all-cause mortality in HF-REF than HF-PEF. Conclusions —Use of the CKD-EPI equation rather than the MDRD to calculate eGFR leads to higher estimates of renal dysfunction in heart failure and more accurate categorization of mortality risk. Renal function is more closely related to outcomes in HF-REF than in HF-PEF.Background— Prior studies in heart failure (HF) have used the Modification of Diet in Renal Disease (MDRD) equation to calculate estimated glomerular filtration rate (eGFR). The Chronic Kidney Disease-Epidemiology Collaboration Group (CKD-EPI) equation provides a more-accurate eGFR than the MDRD when compared against the radionuclide gold standard. The prevalence and prognostic import of renal dysfunction in HF if the CKD-EPI equation is used rather than the MDRD is uncertain. Methods and Results— We used individual patient data from 25 prospective studies to stratify patients with HF by eGFR using the CKD-EPI and the MDRD equations and examined survival across eGFR strata. In 20 754 patients (15 962 with HF with reduced ejection fraction [HF-REF] and 4792 with HF with preserved ejection fraction [HF-PEF]; mean age, 68 years; deaths per 1000 patient-years, 151; 95% CI, 146–155), 10 589 (51%) and 11 422 (55%) had an eGFR <60 mL/min using the MDRD and CKD-EPI equations, respectively. Use of the CKD-EPI equation resulted in 3760 (18%) patients being reclassified into different eGFR risk strata; 3089 (82%) were placed in a lower eGFR category and exhibited higher all-cause mortality rates (net reclassification improvement with CKD-EPI, 3.7%; 95% CI, 1.5%–5.9%). Reduced eGFR was a stronger predictor of all-cause mortality in HF-REF than in HF-PEF. Conclusions— Use of the CKD-EPI rather than the MDRD equation to calculate eGFR leads to higher estimates of renal dysfunction in HF and a more-accurate categorization of mortality risk. Renal function is more closely related to outcomes in HF-REF than in HF-PEF.


Heart Rhythm | 2013

Community detection of long QT syndrome with a clinical registry: An alternative to ECG screening programs?

Nikki Earle; Jackie Crawford; W.M. Smith; Ian Hayes; Andrew N. Shelling; Margaret Hood; Martin K. Stiles; Fraser Maxwell; David Heaven; Donald R. Love; Jonathan R. Skinner

BACKGROUND Long QT syndrome (LQTS) prevalence is estimated at 4 of 10,000 based on community electrocardiogram (ECG) screening, about which there is disagreement regarding efficacy, accuracy, cost-effectiveness, and practicality. Family studies of autosomal dominant conditions such as LQTS have revealed 8-9 gene-positive family members per proband. OBJECTIVE To evaluate a cardiac/genetic registry and family screening program as a tool to identify LQTS in the community. METHODS Possible LQTS probands were referred to the New Zealand Cardiac Inherited Disease service. The registry was first established in the northern region (population 2.03 million), including central Auckland (population 0.46 million). After clinical evaluation, genetic testing and family cascade screening were initiated. Genotype-positive individuals were classified as definite LQTS, and others were classified as definite or probable LQTS by clinical and ECG criteria. RESULTS One hundred twelve probands were identified (presentation: 7 sudden death, 82 cardiac event, 16 ECG abnormality, and 7 sudden death of a family member). Following cascade screening, 309 patients with LQTS were identified (248 definite and 61 probable). Two hundred twenty patients had LQTS-causing mutations identified (120 [55%] LQT1, 78 [35%] LQT2, 19 [9%] LQT3, 1 [0.5%] LQT 5, and 2 [1%] LQT7). Thus far, an average of 2.1 definitely or probably affected family members have been identified per proband. The community detection rate is 1.5 of 10,000 for the whole region and 2.2 of 10,000 in Auckland. CONCLUSIONS A high level of community detection of LQTS is possible using a clinical registry. With adequate resourcing, this has the potential to be an effective alternative to community ECG screening.


European Heart Journal | 2015

Differing prognostic value of pulse pressure in patients with heart failure with reduced or preserved ejection fraction: results from the MAGGIC individual patient meta-analysis

Colette E. Jackson; Davide Castagno; Aldo P. Maggioni; Lars Køber; Iain B. Squire; Karl Swedberg; Bert Andersson; A. Mark Richards; Antoni Bayes-Genis; Christophe Tribouilloy; Joanna Dobson; Cono Ariti; Katrina Poppe; Nikki Earle; Gillian A. Whalley; Stuart J. Pocock; Robert N. Doughty; John J.V. McMurray

AIMS Low pulse pressure is a marker of adverse outcome in patients with heart failure (HF) and reduced ejection fraction (HF-REF) but the prognostic value of pulse pressure in patients with HF and preserved ejection fraction (HF-PEF) is unknown. We examined the prognostic value of pulse pressure in patients with HF-PEF [ejection fraction (EF) ≥ 50%] and HF-REF. METHODS AND RESULTS Data from 22 HF studies were examined. Preserved left ventricular ejection fraction (LVEF) was defined as LVEF ≥ 50%. All-cause mortality at 3 years was evaluated in 27 046 patients: 22 038 with HF-REF (4980 deaths) and 5008 with HF-PEF (828 deaths). Pulse pressure was analysed in quintiles in a multivariable model adjusted for the previously reported Meta-Analysis Global Group in Chronic Heart Failure prognostic variables. Heart failure and reduced ejection fraction patients in the lowest pulse pressure quintile had the highest crude and adjusted mortality risk (adjusted hazard ratio 1.68, 95% confidence interval 1.53-1.84) compared with all other pulse pressure groups. For patients with HF-PEF, higher pulse pressure was associated with the highest crude mortality, a gradient that was eliminated after adjustment for other prognostic variables. CONCLUSION Lower pulse pressure (especially <53 mmHg) was an independent predictor of mortality in patients with HF-REF, particularly in those with an LVEF < 30% and systolic blood pressure <140 mmHg. Overall, this relationship between pulse pressure and outcome was not consistently observed among patients with HF-PEF.


European Heart Journal | 2014

Heart failure in younger patients: The meta-analysis global group in chronic heart failure (MAGGIC)

Chih M. Wong; Nathaniel M. Hawkins; Mark C. Petrie; Pardeep S. Jhund; Roy S. Gardner; Cono Ariti; Katrina Poppe; Nikki Earle; Gillian A. Whalley; Iain B. Squire; Robert N. Doughty; John J.V. McMurray

AIM Our understanding of heart failure in younger patients is limited. The Meta-analysis Global Group in Chronic Heart Failure (MAGGIC) database, which consisted of 24 prospective observational studies and 7 randomized trials, was used to investigate the clinical characteristics, treatment, and outcomes of younger patients. METHODS AND RESULTS Patients were stratified into six age categories: <40 (n = 876), 40-49 (n = 2638), 50-59 (n = 6894), 60-69 (n = 12 071), 70-79 (n = 13 368), and ≥80 years (n = 6079). Of 41 926 patients, 2.1, 8.4, and 24.8% were younger than 40, 50, and 60 years of age, respectively. Comparing young (<40 years) against elderly (≥80 years), younger patients were more likely to be male (71 vs. 48%) and have idiopathic cardiomyopathy (63 vs. 7%). Younger patients reported better New York Heart Association functional class despite more severe left ventricular dysfunction (median ejection fraction: 31 vs. 42%, all P < 0.0001). Comorbidities such as hypertension, myocardial infarction, and atrial fibrillation were much less common in the young. Younger patients received more disease-modifying pharmacological therapy than their older counterparts. Across the younger age groups (<40, 40-49, and 50-59 years), mortality rates were low: 1 year 6.7, 6.6, and 7.5%, respectively; 2 year 11.7, 11.5, 13.0%; and 3 years 16.5, 16.2, 18.2%. Furthermore, 1-, 2-, and 3-year mortality rates increased sharply beyond 60 years and were greatest in the elderly (≥80 years): 28.2, 44.5, and 57.2%, respectively. CONCLUSION Younger patients with heart failure have different clinical characteristics including different aetiologies, more severe left ventricular dysfunction, and less severe symptoms. Three-year mortality rates are lower for all age groups under 60 years compared with older patients.


Heart Rhythm | 2014

Single nucleotide polymorphisms in arrhythmia genes modify the risk of cardiac events and sudden death in long QT syndrome

Nikki Earle; Dug Yeo Han; Anna P. Pilbrow; Jackie Crawford; W.M. Smith; Andrew N. Shelling; Vicky A. Cameron; Donald R. Love; Jonathan R. Skinner

BACKGROUND Disease-modifying single nucleotide polymorphisms (SNPs) can help explain incomplete penetrance and variable expressivity in congenital long QT syndrome (LQTS) by altering susceptibility to arrhythmias. OBJECTIVE The purpose of this study was to assess multiple arrhythmia SNPs (in 16 genes) in a distinct cohort of LQTS patients to identify modifier SNPs influencing the risk of sudden death. METHODS This study included 273 patients with LQTS from the New Zealand Cardiac Inherited Disease Registry (154 long QT type 1, 96 long QT type 2, and 23 long QT type 3), including 31 patients who had experienced death or resuscitated sudden cardiac death (RSCD). Patients were genotyped for 29 SNPs and tested for associations with clinical events and QTc length. Caucasian (n = 220) and Pacific Islander/New Zealand Maori (n = 53) ethnic groups were analyzed separately. This subgroup of Polynesian ancestry has not been previously studied for LQTS in either presentation or outcome. RESULTS In Caucasians, four SNPs at two risk loci (NOS1AP: rs12143842 and rs16847548; and KCNQ1: rs10798 and rs8234) were significantly associated with clinical events after correction for multiple testing. Patients homozygous for the risk allele of rs12143842 had an increased risk of death/RSCD [hazard ratio 10.15, 95% confidence interval (2.38, 43.34), q = 0.045). Several other SNPs showed trends toward association with QTc length and clinical events. CONCLUSION This study demonstrates that SNPs in NOS1AP and KCNQ1 are associated with an increased risk of cardiac events in LQTS patients, with the hazard ratio suggesting they have significant potential in clinical risk stratification.


European Journal of Heart Failure | 2013

Known and missing left ventricular ejection fraction and survival in patients with heart failure: a MAGGIC meta-analysis report

Katrina Poppe; Iain B. Squire; Gillian A. Whalley; Lars Køber; Finlay A. McAlister; John J.V. McMurray; Stuart J. Pocock; Nikki Earle; Colin Berry; Robert N. Doughty

Treatment of patients with heart failure (HF) relies on measurement of LVEF. However, the extent to which EF is recorded varies markedly. We sought to characterize the patient group that is missing a measure of EF, and to explore the association between missing EF and outcome.


European Journal of Heart Failure | 2015

Is heart rate a risk marker in patients with chronic heart failure and concomitant atrial fibrillation? Results from the MAGGIC meta-analysis.

Joanne Simpson; Davide Castagno; Robert N. Doughty; Katrina Poppe; Nikki Earle; Iain B. Squire; Mark Richards; Bert Andersson; Justin A. Ezekowitz; Michel Komajda; Mark C. Petrie; Finlay A. McAlister; Greg Gamble; Gillian A. Whalley; John J.V. McMurray

To investigate the relationship between heart rate and survival in patients with heart failure (HF) and coexisting atrial fibrillation (AF).


QJM: An International Journal of Medicine | 2016

Prognostic significance of anaemia in patients with heart failure with preserved and reduced ejection fraction: results from the MAGGIC individual patient data meta-analysis

Colin Berry; Katrina Poppe; Greg Gamble; Nikki Earle; Justin A. Ezekowitz; Iain B. Squire; John J.V. McMurray; Finlay A. McAlister; Michel Komajda; Karl Swedberg; Aldo P. Maggioni; Ali Ahmed; Gillian A. Whalley; Robert N. Doughty; Luigi Tarantini

BACKGROUND Anaemia is common among patients with heart failure (HF) and is an important prognostic marker. AIM We sought to determine the prognostic importance of anaemia in a large multinational pooled dataset of prospectively enrolled HF patients, with the specific aim to determine the prognostic role of anaemia in HF with preserved and reduced ejection fraction (HF-PEF and HF-REF, respectively). DESIGN Individual person data meta-analysis. METHODS Patients with haemoglobin (Hb) data from the MAGGIC dataset were used. Anaemia was defined as Hb < 120 g/l in women and <130 g/l in men. HF-PEF was defined as EF ≥ 50%; HF-REF was EF < 50%. Cox proportional hazard modelling, with adjustment for clinically relevant variables, was undertaken to investigate factors associated with 3-year all-cause mortality. RESULTS Thirteen thousand two hundred and ninety-five patients with HF from 19 studies (9887 with HF-REF and 3408 with HF-PEF). The prevalence of anaemia was similar among those with HF-REF and HF-PEF (42.8 and 41.6% respectively). Compared with patients with normal Hb values, those with anaemia were older, were more likely to have diabetes, ischaemic aetiology, New York Heart Association class IV symptoms, lower estimated glomerular filtration rate and were more likely to be taking diuretic and less likely to be taking a beta-blocker. Patients with anaemia had higher all-cause mortality (adjusted hazard ratio [aHR] 1.38, 95% confidence interval [CI] 1.25-1.51), independent of EF group: aHR 1.67 (1.39-1.99) in HF-PEF and aHR 2.49 (2.13-2.90) in HF-REF. CONCLUSIONS Anaemia is an adverse prognostic factor in HF irrespective of EF. The prognostic importance of anaemia was greatest in patients with HF-REF.

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Gillian A. Whalley

Unitec Institute of Technology

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Antoni Bayes-Genis

Autonomous University of Barcelona

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W.M. Smith

Auckland City Hospital

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