Enhancing patient outcomes: Integrating electronic cardiology consultation in primary care for cancer patients.

BACKGROUND: The prevalence of cancer patients with concomitant cardiovascular (CV) disease is on the rise due to improved cancer prognoses. The aim of this study is to evaluate the long-term outcomes of cancer patients referred to a cardiology department (CD) via primary care using e-consultation. METHODS: We analysed data from cancer patients with prior referrals to a CD between 2010 and 2021 (n = 6889) and compared two care models: traditional in-person consultations and e-consultations. In e-consultation model, cardiologists reviewed electronic health records (e-consultation) to determine whether the demand could be addressed remotely or necessitated an in-person consultation. We used an interrupted time series regression model to assess outcomes during the two periods: (1) time to cardiology consultation, (2) rates of all-cause and CV related hospital admissions and (3) rates of all-cause and CV-related mortality within the first year after the initial consultation or e-consultation at the CD. RESULTS: Introduction of e-consultation for cancer patients referred to cardiology care led to a 51.8% reduction (95%CI: 51.7%-51.9%) in waiting times. Furthermore, we observed decreased 1-year incidence rates, with incidence rate ratios (iRRs) [IC95%] of .75 [.73-.77] for CV-related hospitalizations, .43 [.42-.44] for all-cause hospitalizations, and .87 [.86-.88] for all-cause mortality. CONCLUSIONS: Compared to traditional in-person consultations, an outpatient care program incorporating e-consultation for cancer patients significantly reduced waiting times for cardiology care and demonstrated safety, associated with lower rates of hospital admissions.

Systemic biomarker associated with poor outcome after futile reperfusion.

BACKGROUND: Successful recanalization does not lead to complete tissue reperfusion in a considerable percentage of ischemic stroke patients. This study aimed to identify biomarkers associated with futile recanalization. Leukoaraiosis predicts poor outcomes of this phenomenon. Soluble tumour necrosis factor-like weak inducer of apoptosis (sTWEAK), which is associated with leukoaraiosis degrees, could be a potential biomarker. METHODS: This study includes two cohorts of ischemic stroke patients in a multicentre retrospective observational study. Effective reperfusion, defined as a reduction of ≥8 points in the National Institutes of Health Stroke Scale (NIHSS) within the first 24 h, was used as a clinical marker of effective reperfusion. RESULTS: In the first cohort study, female sex, age, and high NIHSS at admission (44.7% vs. 81.1%, 71.3 ± 13.7 vs. 81.1 ± 6.7; 16 [13, 21] vs. 23 [17, 28] respectively; p < .0001) were confirmed as predictors of futile recanalization. ROC curve analysis showed that leukocyte levels (sensitivity of 99%, specificity of 55%) and sTWEAK level (sensitivity of 92%, specificity of 88%) can discriminate between poor and good outcomes. Both biomarkers simultaneously are higher associated with outcome after effective reperfusion (OR: 2.17; CI 95% 1.63-4.19; p < .0001) than individually (leukocytes OR: 1.38; CI 95% 1.00-1.64, p = .042; sTWEAK OR: 1.00; C I95% 1.00-1.01, p = .019). These results were validated using a second cohort, where leukocytes and sTWEAK showed a sensitivity of 100% and specificity of 66.7% and 75% respectively. CONCLUSIONS: Leukocyte and sTWEAK could be biomarkers of reperfusion failure and subsequent poor outcomes. Further studies will be necessary to explore its role in reperfusion processes.

Gender differences on healthcare accessibility and outcomes of a electronic inter-clinician consultation program at the cardiology department in a Galician Health Area.

AIMS: To assess the longer-term results (hospital admissions and mortality) in women versus men referred to a cardiology department from primary care using an e-consultation in our outpatient care programme. METHODS: We selected 61,306 patients (30,312 women and 30,994 men) who visited the cardiology service at least once between 2010 and 2021: 69.1% (19,997 women and 20,462 men) were attended in e-consultation (from 2013 to 2021) and 30.9% (8920 women and 9136 men) in in-person consultations (from 2010 to 2012) without gender differences in the proportion of patients attended in each period. Using an interrupted time series regression model, we analysed the impact of incorporating e-consultation into the healthcare model and evaluated the elapsed time to cardiology care, heart failure (HF), cardiovascular (CV), and all-cause hospital admissions and mortality during the one-year after cardiology consultation. RESULTS: The introduction of e-consultation substantially decreased waiting times to cardiology care; during the in-person consultation period, the mean delay for cardiology care was 57.9 (24.8) days in men and 55.8 (22.8) days in women. During the e-consultation period, the waiting time to cardiology care was markedly reduced to 9.41 (4.02) days in men and 9.46 (4.18) in women. After e-consultation implantation, there was a significant reduction in the 1-year rate of hospital admissions and mortality, both in women and men iRR [IC 95%]: 0.95 [0.93-0.96] for HF, 0.90 [0.89-0.91] for CV and 0.70 [0.69-0.71] for all-cause hospitalization; and 0.93 [0.92-0.95] for HF, 0.86 [0.86-0.87] for CV and 0.88 [0.87-0.89] for all-cause mortality in women; and 0.91 [0.89-0.92] for HF, 0.90 [0.89-0.91] for CV and 0.72 [0.71-0.73] for all-cause hospitalization; and 0.96 [0.93-0.97] for HF, 0.87 [95% CI: 0.86-0.87] for CV and 0.87 [0.86-0.87] for all-cause mortality, in men. CONCLUSION: Compared with the in-person consultation period, an outpatient care programme that includes an e-consultation significantly reduced waiting time to cardiology care and was safe, with a lower rate of hospital admissions and mortality in the first year, without significative gender differences.

The impact of inter-clinician electronic consultation in patients diagnosed with atrial fibrillation in primary care.

BACKGROUND: An early diagnosis and early initiation of oral anticoagulants (OAC) are main determinants for outcomes in patients with atrial fibrillation (AF). Inter-clinician electronic consultations (e-consultations) program for the general practitioner referrals to cardiologist may improve health care access by reducing the elapsed time for cardiology care. OBJECTIVE: To evaluate the effect of a reduced elapsed time to care after a inter-clinician e-consultations program implementation (2013-2019) in comparison with previous in-person consultation (2010-2012) in the outpatient health care management in a Cardiology Department. METHODOLOGY: We included 10,488 patients with AF from 1 January 2010, to 31 December 2019. Until 2012, all patients attended an in-person consultation (2010-2012). In 2013, we instituted an e-consult program (2013-2019) for all primary care referrals to cardiologists that preceded patient's in-person consultation when considered. The shared electronic patient dossier (EPD) was available between GP and cardiologist, and any change in therapy advice from cardiologist was directly implemented in this EPD. RESULTS: During the e-consultation period (2013-2019) were referred 6627 patients by GPs to cardiology versus 3861 during the in-person consultation (2010-2012). The e-consultation implementation was associated with a reduction in the elapsed time to anticoagulation prescription (177.6 ± 8.9 vs. 22.5 ± 8.1 days, p < .001), and an increase of OAC use (61% [95% IC: 19.6%-102.4%], p < .001). The e-consult program implementation was associated with a reduction in the 1-year CV mortality (.48 [95% CI: .30-.75]) and all-cause mortality (.42 [95% CI: .29-.62]). The OAC reduces the stroke mortality (.15 [95% CI: .06-.39]) and CV mortality (.43 [95% CI: .29-.62]) and all-cause mortality (.23 [95% CI: .17-.31]). CONCLUSION: A shared EPD-based inter-clinician e-consultation program significantly reduced the elapsed time for cardiology consultation and initiation of OAC. The implementation of this program was associated with a lower risk of stroke and cardiovascular/all-cause mortality.

Impact of a clinician-to-clinician electronic consultation in heart failure patients with previous hospital admissions.

Aims: To evaluate the impact of an outpatient care management programme that includes a clinician-to-clinician e-consultation on delay time in care, hospital admissions, and mortality in a high-risk group of patients with heart failure (HF) and previous episodes of HF hospitalization (HFH). Methods and results: We selected 6444 HF patients who visited the cardiology service at least once between 2010 and 2021. Of these, 4851 were attended in e-consult, and 2230 had previous HFH. Using an interrupted time series regression model, we analysed the impact of incorporating e-consult into the healthcare model in the group of patients with HFH and evaluated the elapsed time to cardiology care, HF, cardiovascular (CV), and all-cause hospital admissions and mortality, calculating the incidence relative risk (iRR). In the group of patients with HFH, the introduction of e-consult substantially decreased waiting times to cardiology care (8.6 [8.7] vs. 55.4 [79.9] days, P < 0.001). In that group of patients, after e-consult implantation, hospital admissions for HF were reduced (iRR [95%CI]: 0.837 [0.840-0.833]), 0.900 [0.862-0.949] for CV and 0.699 [0.678-0.726] for all-cause hospitalizations. There was also lower mortality (iRR [95%CI]: 0.715 [0.657-0.798] due to HF, 0.737 [0.764-0.706] for CV and 0.687 [0.652-0.718] for all-cause). The improved outcomes after e-consultation implementation were significantly higher in the group of patients with previous HFH. Conclusion: In patients with HFH, an outpatient care programme that includes an e-consult significantly reduced waiting times to cardiology care and was safe, with a lower rate of hospital admissions and mortality in the first year.

Delay in cardiology consultation after primary care physician referrals in heart failure: Clinical implications.

AIMS: To investigate the association between the elapsed time to cardiology care following a primary care physician (PCP) referral and 1 year outcomes among patients with heart failure (HF). METHODS: Data from electronic medical records at our institution encompassing all PCP referrals to cardiology consultation from 2010 to 2021 (N = 68 518) were analysed. Of these, 6379 patients had a prior diagnosis of HF. Using a Cox regression model for hospitalization and mortality outcomes, the association between delay time in cardiology care post-PCP referral and 1 year outcomes was examined, adjusting for age, gender and comorbidities. RESULTS: A significant increase in 1 year mortality rates with delayed cardiology care was observed for each day: all-cause (0.25%), cardiovascular (CV) (0.13%) and HF (0.11%). In multivariate analysis, continuous delay to consultation was independently associated with higher risk of all-cause [hazard ratio (HR): 1.02; 95% confidence interval (CI) (1.01-1.02); P < 0.01], CV [1.01 (1.00-1.02); P < 0.01] and HF mortality (HR: 1.01; 95% CI 1.00-1.03; P < 0.01). Patients attended in the 25th quartile of time delay (<2 days) had significantly lower mortality and HF readmission rates [1.21 (1.10-1.33); P < 0.01] as compared with patients in the 75th quartile (>14 days). CONCLUSIONS: Delay in cardiology assistance following a PCP referral among patients previously diagnosed with HF was associated with increased in all-cause, CV, and HF mortality at 1 year.

Comparison of baseline clinical characteristics among people with type 2 diabetes on second-line therapy previously added with dapagliflozin or another oral glucose-lowering drug: AGORA study.

INTRODUCTION: Type 2 diabetes mellitus (T2D) has acquired epidemic proportions worldwide. In recent years, new oral glucose-lowering drugs (OGLD) have emerged that improve the cardiovascular-kidney-metabolic control in T2D people. OBJECTIVES: To compare the baseline clinical-biological characteristics among T2D people to whom had added-on dapagliflozin (DAPA group) or another OGLD (SOC group) second-line hypoglycaemic therapies among the AGORA study population. METHODS: This is a multicentre cross-sectional observational study of the baseline characteristics of T2D people recruited through competitive sampling among 46 primary care health centres in Spain for the AGORA study. The inclusion and exclusion criteria of participants, and justification of the sample size are reported. After verifying the data necessary to be evaluated and informed consent, 317 subjects were included to the DAPA group and 288 to the SOC group. Both categorical and continuous variables were analysed and compared with the usual statistics. Cohen's d was used to assess the standardised difference in means. RESULTS: Six hundred and five patients with T2D were assessed (mean age 63.5 [SD±8.1] years, 61.8% men), whom 17.4% were smokers, 47.6% had obesity, 74.8% hypertension, 87.3% dyslipidaemia, and 41.7% reported physical inactivity, with no significant differences between both comparison groups. The mean (SD) evolution time of T2D was 10.1 (5.6) years. Most baseline clinical-biological characteristics at recruitment were similar in both groups. However, DAPA group was younger (2.9 years), and had lower systolic blood pressure (SBP) (2.8mmHg), higher body weight (BW) (3.7kg), and higher glycated haemoglobin A1c (HbA1c) (0.3%) than SOC group. Only 11.5% of participants had poor glycaemic control (HbA1c>8%) at recruitment, 54.9% had good glycaemic control (HbA1c<7%), being significantly lower in the DAPA group (47.3%) than in the SOC group (63.4%). The percentage of T2D patients with high vascular risk (VR) was 46.3%, and 53.7% with very high VR, being significantly higher in the DAPA group (57.4%) than in the SOC group (49.6%). CONCLUSIONS: Most baseline cardiovascular-kidney-metabolic characteristics were similar in T2D patients whom had added dapagliflozin on second-line hypoglycaemic therapy as those whom had added-on another OGLD. However, patients whom had added-on dapagliflozin had higher VR, lower SBP, higher BW, and slightly worse HbA1c control. Future research is necessary to explain the causes of these differences in cardiometabolic control.

A clinician-to-clinician universal electronic consultation programme at the cardiology department of a Galician healthcare area improves healthcare accessibility and outcomes in elderly patients.

Aims: We aimed to assess longer-term results (accessibility, hospital admissions, and mortality) in elderly patients referred to a cardiology department (CD) from primary care using e-consultation in outpatient care. Methods and results: We included 9963 patients >80 years from 1 January 2010 to 31 December 2019. Until 2012, all patients attended an in-person consultation (2010-2012). In 2013, we instituted an e-consult programme (2013-2019) for all primary care referrals to cardiologists that preceded a patient's in-person consultation when considered. We used an interrupted time series (ITS) regression approach to investigate the impact of e-consultation on (i) cardiovascular hospital admissions and mortality. We also analysed (ii) the total number and referral rate (population-adjusted referred rate) in both periods, and (iii) the accessibility was measured as the number of consultations and variation according to the distance from the municipality and reference hospital. During e-consultation, the demand for care increased (12.8 ± 4.3% vs. 25.5 ± 11.1% per 1000 inhabitants, P < 0.001) and referrals from different areas were equalized. After the implementation of e-consultation, we observed that the increase in hospital admissions and mortality were stabilized [incidence rate ratio (iRR): 1.351 (95% CI, 0.787, 2.317), P = 0.874] and [iRR: 1.925 (95% CI: 0.889, 4.168), P = 0.096], respectively. The geographic variabilities in hospital admissions and mortality seen during the in-person consultation were stabilized after e-consultation implementation. Conclusions: Implementation of a clinician-to-clinician e-consultation programme in outpatient care was associated with improved accessibility to cardiology healthcare in elderly patients. After e-consultations were implemented, hospital admissions and mortality were stabilized.

Longer-Term Results of a Universal Electronic Consultation Program at the Cardiology Department of a Galician Healthcare Area.

BACKGROUND: Telemedicine models play a key role in organizing the growing demand for care and healthcare accessibility, but there are no described longer-term results in health care. Our objective is to assess the longer-term results (delay time in care, accessibility, and hospital admissions) of an electronic consultation (e-consultation) outpatient care program. METHODS: Epidemiological and clinical data were obtained from the 41 258 patients referred by primary care to the cardiology department from January 1, 2010, to December 31, 2019. Until 2012, all patients were attended in an in-person consultation (2010-2012). In 2013, we instituted an e-consultation program (2013-2019) for all primary care referrals to cardiologists that preceded patients' in-person consultations when considered. We used an interrupted time series regression approach to investigate the impact of the e-consultation on (1) delay time (days) in care and (2) hospital admissions. We also analyzed (3) total number and referral rate (population-adjusted referred rate) in both periods (in-person consultation and e-consultation), and (4) the accessibility was measured as number of consultations and variation according to distance from municipality and reference hospital. RESULTS: During the e-consultation, the demand increased (7.2±2.4% versus 10.1±4.8% per 1000 inhabitants, P<0.001), and referrals from different areas were equalized. The reduction in delay to consultation during the in-person consultation (-0.96 [95% CI, -0.951 to -0.966], P<0.001) was maintained with e-consultations (-0.064 [95% CI, 0.043-0.085], P<0.001). After the implementation of e-consultation, we observed that the increasing of hospital admission observed in the in-person consultation (incidence rate ratio, 1.011 [95% CI, 1.003-1.018]), was stabilized (incidence rate ratio, 1.000 [95% CI, 0.985-1.015]; P=0.874). CONCLUSIONS: Implementing e-consultations in the outpatient management model may improve accessibility of care for patients furthest from the referral hospital. After e-consultations were implemented, the upward trend of hospital admissions observed during the in-person consultation period was stabilized with a slight downward trend.

An electronic consultation program impacts on heart failure patients' prognosis: implications for heart failure care.

AIMS: e-consults are asynchronous, clinician-to-clinician exchanges that answer focused, non-urgent, patient-specific questions using the electronic medical record. We instituted an e-consultation programme (2013-2019) for all general practitioners (GPs) referrals to cardiologists that preceded patients' in-person consultations when considered. In our study, we aimed to analyse the clinical characteristics, 1 year prognosis and the prognostic determinants of patients with a previous diagnosis of HF referred for an e-consult, categorized by their previous HF-related hospitalization status (recent hospitalization, <1 year before; remote hospitalization, >1 year before or never been hospitalized because of HF), and to analyse the impact of reducing the time elapsed between e-consultation and response by the cardiologist in terms of prognosis. METHODS AND RESULTS: Epidemiological and clinical data were obtained from 4851 HF patients referred by GPs to the cardiology department for an e-consultation 2013 and 2020. The delay of time to e-consults were solved was 8.6 + 8.6 days with 84.3% solved in <14 days. For the 1 year prognosis evaluation after the e-consult were assessed the cardiovascular hospitalizations, HF-related hospitalizations, HF-related mortality, cardiovascular mortality, and all-cause mortality. Compared with the group without a previous hospitalization, patients with recent and remote HF hospitalization were at higher risk of a new HF-related hospitalization (OR: 19.41 [95% CI: 12.95-29.11]; OR: 8.44 [95% CI: 5.14-13.87], respectively), HF-related mortality (OR: 2.47 [95% CI: 1.43-4.27]; OR: 1.25 [95% CI: 0.51-3.06], respectively), as well as cardiovascular hospitalizations and mortality and all-cause mortality. Reduction in the time elapsed because e-consultation was solved was associated with lower risk of HF-related mortality (OR: 0.94 [95% CI: 0.89-0.99]), cardiovascular mortality (OR: 0.96 [95% CI: 0.93-0.98]), and all-cause mortality (OR: 0.98 [95% CI: 0.97-1.00]). CONCLUSIONS: A clinician-to-clinician e-consultation programme between GPs and cardiologists in patients with HF allows to solve the demand of care in around 25% e-consults without an in-person consultation; the patients with a previous history of HF-related hospitalization showed a worse 1 year outcome. A reduction in the time elapsed because e-consultation was solved was associated with a mortality reduction.

Universal electronic consultation (e-consultation) program of a cardiology service. Long-term results.

INTRODUCTION AND OBJECTIVES: Many health systems have initiated electronic consultation (e-consultation) programs, although little is known about their impact on accessibility, safety, and satisfaction. The aim of this study was to assess the clinical impact of the implementation of an outpatient care model that includes an initial e-consultation and to compare it with a one-time face-to-face consultation model. METHODS: We selected patients who visited the cardiology service at least once between 2010 and 2019. Using an interrupted time series regression model, we analyzed the impact of incorporating e-consultation into the health care model (started in 2013), and evaluated waiting times, emergency services, hospital admissions, and mortality. RESULTS: We analyzed 47 377 patients: 61.9% were attended in e-consultation and 38.1% in one-time face-to-face consultations. The waiting time for care was shorter in the e-consultation model (median [IQR]: 7 [5-13] days) than in the face-to-face model (median [IQR]: 33 [14-81] days), P<.001. The interrupted time series regression model showed that the introduction of e-consultation substantially decreased waiting times, which held steady at around 9 days, although with slight oscillations. Patients evaluated via e-consultation had fewer hospital admissions (0.9% vs 1.2%, P=.0017) and lower mortality (2.5% vs 3.9%, P<.001). CONCLUSIONS: An outpatient care program that includes an e-consultation reduced waiting times significantly and was safe, with a lower rate of hospital admissions and mortality in the first year.

Assessment of Degree of Anticoagulation Control in Patients With Atrial Fibrillation in Primary Health Care in Galicia, Spain: ANFAGAL Study.

INTRODUCTION AND OBJECTIVES: To determine the degree of control of patients on anticoagulants in follow-up in primary care in Galicia and investigate whether time in therapeutic range as estimated using the number of acceptable controls is comparable with the estimation using the Rosendaal method. METHODS: Transversal study that included patients older than 65 years, diagnosed with nonvalvular atrial fibrillation, on anticoagulants for at least 1 year. Control was considered good when the time in therapeutic range was greater than 65%, estimated by the Rosendaal method, or 60% estimated by the number of acceptable controls. RESULTS: We enrolled 511 patients (53.0% women; mean [standard deviation] age, 77.8 [0.6] years). Overall, 41.5% of the patients were in therapeutic range at fewer than 60% of the controls and 42.7% spent less than 65% of follow-up in therapeutic range, as estimated with the Rosendaal method. In the group of patients with poor control, we observed more drugs (6.8 [0.4] vs 5.7 [0.3]; P<.0001), greater presence of kidney disease (24.3% vs 17.0%; P=.05), and higher HAS-BLED scores (3.8 [0.1] vs 2.5 [0.1]; P<.0001). The cutoff of 60% for number of acceptable controls had a sensitivity and specificity of 79.4% and 86.7%, respectively, with an area under the curve of 0.92 (95%CI, 0.87-0.97). CONCLUSIONS: More than 40% of patients on anticoagulants do not reach the minimum time in therapeutic range to benefit from anticoagulation. The factors associated with worse control were kidney disease and high risk of cerebral hemorrhage. The 2 methods of estimation are comparable.

Grado de control de la anticoagulación en pacientes con fibrilación auricular en España: necesidad de minimizar sesgos y contextualizar resultados. Respuesta de Cinza Sanjurjo et al / Degree of anticoagulation control in patients with atrial fibrillation in Spain: need to minimize biases and contextualize results. Response by Cinza Sanjurjo et al

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Evaluación del grado de anticoagulación de pacientes con fibrilación auricular en el ámbito de atención primaria de Galicia. Estudio ANFAGAL / Assessment of degree of anticoagulation control in patients with atrial fibrillation in primary health care in Galicia, Spain: ANFAGAL study

Introducción y objetivos: Conocer cuál es el grado de control de los pacientes anticoagulados en seguimiento por atención primaria en Galicia y si la determinación por número de controles es comparable al Rosendaal para estimar el tiempo en rango terapéutico. Métodos: Estudio transversal que incluyó a pacientes > 65 años, diagnosticados de fibrilación auricular no valvular, anticoagulados durante al menos 1 año. Se consideró buen control cuando el tiempo en rango terapéutico era > 65% calculado por Rosendaal o 60% estimado por el número de controles. Resultados: Se incluyó a 511 pacientes (el 53,0% mujeres; media de edad, 77,8 ± 0,6 años). El 41,5% de los pacientes tenían en rango terapéutico menos del 60% de los controles realizados y el 42,7% mostró un tiempo en rango terapéutico calculado por la fórmula de Rosendaal < 65%. En el grupo de pacientes con mal control, se observó mayor número de fármacos (6,8 ± 0,4 frente a 5,7 ± 0,3; p < 0,0001), mayor prevalencia de enfermedad renal (el 24,3 frente al 17,0%; p = 0,05) y mayor puntuación en la escala HAS-BLED (3,8 ± 0,1 frente a 2,5 ± 0,1; p < 0,0001). El punto de corte del 60% para el número de controles mostró sensibilidad y especificidad del 79,4 y el 86,7%, respectivamente, con un área bajo la curva de 0,92 (intervalo de confianza del 95%, 0,87-0,97).Conclusiones: Más del 40% de los pacientes anticoagulados no alcanzan el mínimo tiempo en rango terapéutico para beneficiarse de este tratamiento. Las variables que influyen en el peor control son la enfermedad renal y el alto riesgo de hemorragia cerebral. Ambos métodos de estimación son comparables (AU)

Introduction and objectives: To determine the degree of control of patients on anticoagulants in follow-up in primary care in Galicia and investigate whether time in therapeutic range as estimated using the number of acceptable controls is comparable with the estimation using the Rosendaal method. Methods: Transversal study that included patients older than 65 years, diagnosed with nonvalvular atrial fibrillation, on anticoagulants for at least 1 year. Control was considered good when the time in therapeutic range was greater than 65%, estimated by the Rosendaal method, or 60% estimated by the number of acceptable controls. Results: We enrolled 511 patients (53.0% women; mean [standard deviation] age, 77.8 [0.6] years). Overall, 41.5% of the patients were in therapeutic range at fewer than 60% of the controls and 42.7% spent less than 65% of follow-up in therapeutic range, as estimated with the Rosendaal method. In the group of patients with poor control, we observed more drugs (6.8 [0.4] vs 5.7 [0.3]; P < .0001), greater presence of kidney disease (24.3% vs 17.0%; P = .05), and higher HAS-BLED scores (3.8 [0.1] vs 2.5 [0.1]; P < .0001). The cutoff of 60% for number of acceptable controls had a sensitivity and specificity of 79.4% and 86.7%, respectively, with an area under the curve of 0.92 (95%CI, 0.87-0.97). Conclusions: More than 40% of patients on anticoagulants do not reach the minimum time in therapeutic range to benefit from anticoagulation. The factors associated with worse control were kidney disease and high risk of cerebral hemorrhage. The 2 methods of estimation are comparable (AU)