Differentiating spinal pathologies by deep learning approach.

BACKGROUND CONTEXT: Spinal pathologies are diverse in nature and, excluding trauma and degenerative diseases, includes infectious, neoplastic (either extradural or intradural), and inflammatory conditions. The preoperative diagnosis is made with clinical judgment incorporating lab findings and radiological studies. When the diagnosis is uncertain, a biopsy is almost always mandatory since the treatment is dictated by the type of pathology. This is an invasive, timely, and costly process. PURPOSE: The aim of this study was to develop a deep learning (DL) algorithm, based on preoperative MRI and post-operative pathological results, to differentiate between leading spinal pathologies. STUDY DESIGN: We retrospectively collected and analyzed clinical, radiological, and pathological data of patients who underwent spinal surgery or biopsy for various spinal pathologies between 2008 and 2022 at a tertiary center. The patients were stratified according to their pathological reports (the threshold for inclusion was set to 25 patients per diagnosis). METHODS: Preoperative MRI, clinical data, and pathological results were processed by a deep learning model built on the Fast.ai framework on top of the PyTorch environment. RESULTS: A total of 231 patients diagnosed with carcinoma (80), infection (57), meningioma (52), or schwannoma (42), were included in our model. The mean overall accuracy was 0.78±0.06 for the validation, and 0.93±0.03 for the test dataset. CONCLUSION: Deep learning algorithm for differentiation between the aforementioned spinal pathologies, based solely on clinical MRI, proves as a feasible primary diagnostic modality. Larger studies should be performed to validate and improve this algorithm for clinical use. CLINICAL SIGNIFICANCE: This study provides a proof-of-concept for predicting spinal pathologies solely by MRI based DL technology, allowing for a rapid, targeted, and cost-effective work-up and subsequent treatment.

Clustering of clinical and echocardiographic phenotypes of covid-19 patients.

We sought to divide COVID-19 patients into distinct phenotypical subgroups using echocardiography and clinical markers to elucidate the pathogenesis of the disease and its heterogeneous cardiac involvement. A total of 506 consecutive patients hospitalized with COVID-19 infection underwent complete evaluation, including echocardiography, at admission. A k-prototypes algorithm applied to patients' clinical and imaging data at admission partitioned the patients into four phenotypical clusters: Clusters 0 and 1 were younger and healthier, 2 and 3 were older with worse cardiac indexes, and clusters 1 and 3 had a stronger inflammatory response. The clusters manifested very distinct survival patterns (C-index for the Cox proportional hazard model 0.77), with survival best for cluster 0, intermediate for 1-2 and worst for 3. Interestingly, cluster 1 showed a harsher disease course than cluster 2 but with similar survival. Clusters obtained with echocardiography were more predictive of mortality than clusters obtained without echocardiography. Additionally, several echocardiography variables (E' lat, E' sept, E/e average) showed high discriminative power among the clusters. The results suggested that older infected males have a higher chance to deteriorate than older infected females. In conclusion, COVID-19 manifests differently for distinctive clusters of patients. These clusters reflect different disease manifestations and prognoses. Although including echocardiography improved the predictive power, its marginal contribution over clustering using clinical parameters only does not justify the burden of echocardiography data collection.

The added predictive role of echocardiography in patients with mild or moderate Coronavirus Disease 2019.

AIMS: Recently, several therapeutic agents have decreased the progression to critical disease in patients with mild/moderate COVID-19. However, their use is limited to patients with ≥1 clinical risk factor. We aimed to evaluate echocardiographic features that may aid in risk stratification for patients with mild/moderate COVID-19. METHODS: 278 consecutive patients with mild/moderate COVID-19 underwent prospective clinical and echocardiographic examination, ≤7 days of symptoms, as part of a predefined protocol. Analysis to identify echocardiographic predictors of outcome was performed. RESULTS: In the multivariable risk model, E/e', TAPSE, and pulmonary acceleration time (PAT) were associated with the composite outcome (p = 0.01, 0.005, 0.05, respectively). Stepwise analyses showed that the addition of echocardiography on top of having ≥1 clinical risk factor and even using each parameter separately improved the prediction of outcomes. If patients were re-categorized as high risk only if having both ≥1 clinical and ≥ 1 echocardiography risk parameter (E/e' > 8, TAPSE<1.8 cm, PAT<90 msec), or even one echo parameter separately, then specificity, positive predictive value, and accuracy improved. If patients were re-classified as high risk if having either ≥1 clinical risk factor or ≥ 1 high-risk echocardiography parameter, all five individuals who were missed by the ≥1 risk factor "rule", were correctly diagnosed as high risk. Similar analyses, including only patients with mild disease, showed that the addition of TAPSE improved the prediction of outcomes. CONCLUSIONS: In patients with mild/moderate COVID-19, a very limited echocardiographic exam is sufficient for improved outcome prediction, and may improve resource allocation for new anti-COVID-19 agents. TRANSLATIONAL ASPECT OF THE WORK: We show that among patients with mild/moderate COVID-19, several easily obtained echocardiographic findings are strongly correlated with mortality or progression to the need for invasive/non-invasive mechanical ventilation, even when adjusted for the presence or absence of ≥1 clinical risk factor. Furthermore, even a limited echocardiographic exam is sufficient to develop a strategy of risk stratification. We believe that our data have important implications for the clinicians involved in the acute treatment of patients with COVID-19.

Successful conservative management of left ventricular assist device candidates.

AIMS: Clinical trials comparing LVADs vs. conservative therapy were performed before the availability of novel medications or used suboptimal medical therapy. This study aimed to report that long-term stabilization of patients entering a left ventricular assist device (LVAD) programme is possible with the use of aggressive conservative therapy. This is important because the excellent clinical stabilization provided by LVADs comes at the expense of significant complications. METHODS AND RESULTS: This study was a single-centre prospective evaluation of consecutive patients with advanced heart failure (HF) fulfilling criteria for LVAD implantation based on clinical and echocardiographic characteristics, cardiopulmonary exercise test, and right heart catheterization results. Their initial therapy included inotropes, thiamine, beta-blockers, digoxin, spironolactone, hydralazine, and nitrates followed by the introduction of novel HF therapies. Coronary revascularization and cardiac resynchronization therapy were performed when indicated, and all patients were closely followed at our outpatient clinic. During the study period, 28 patients were considered suitable for LVAD implantation (mean age 63 ± 10.8 years, 92% men, 78% ischaemic, median HF duration 4 years). Clinical stabilization was achieved and maintained in 21 patients (median follow-up 20 months, range 9-38 months). Compared with baseline evaluation, cardiac index increased from 2.05 (1.73-2.28) to 2.88 (2.63-3.55) L/min/m2 , left ventricular end-diastolic diameter decreased from 65.5 (62.4-66) to 58.3 (53.8-62.5) mm, and maximal oxygen consumption increased from 10.1 (9.2-11.3) to 16.1 (15.3-19) mL/kg/min. Three patients died and only four ultimately required LVAD implantation. CONCLUSIONS: Notwithstanding the small size of our cohort, our results suggest that LVAD implantation could be safely deferred in the majority of LVAD candidates.

Neutrophil-to-Lymphocyte Ratio as a Prognostic Marker in Transcatheter Aortic Valve Implantation (TAVI) Patients.

BACKGROUND: Neutrophil-to-lymphocyte ratio (NLR) is a simple and cost-effective marker of inflammation. This marker has been shown to predict cardiac arrhythmias, progression of valvular heart disease, congestive heart failure decompensation, acute kidney injury, and mortality in cardiovascular patients. The pathologic process of aortic stenosis includes chronic inflammation of the valve and therefore biomarkers of inflammation might offer additive prognostic value. OBJECTIVES: To evaluate NLR and its association with long term mortality in transcatheter aortic valve implantation (TAVI) patients. METHODS: We evaluated data of 1152 consecutive patient from the Tel Aviv Medical Center TAVI registry who underwent TAVI. Data included baseline clinical, demographic, and echocardiographic findings; procedural complications; and post-procedure mortality. Patients were compared by using the median NLR value (4.1) and evaluated for long-term mortality. RESULTS: Patients with NLR above the median had higher mortality rates (26.4% vs. 16.3%, P < 0.001) at 3 years post-procedure. A multivariable analysis found NLR to be an independent risk factor for mortality (hazard ratio = 1.47, 95% confidence interval 1.09-1.99, P = 0.013). In addition, high NLR was linked to complicationsduring and after the procedure. CONCLUSIONS: NLR is an independent prognostic marker among TAVI patients. This marker may represent an increased inflammatory response and should be added to previous known prognostic factors.

Repetitive milrinone therapy in ambulatory advanced heart failure patients.

BACKGROUND: Advanced heart failure (HF) patients usually poorly tolerate guideline-directed HF medical therapy (GDMT) and suffer high rates of morbidity and mortality. The use of continuous inotropes in the outpatient settings is hampered by previous data showing excess morbidity. We aimed to assess the safety and efficacy of repetitive, intermittent, short-term intravenous milrinone therapy in advanced HF patients with an intention to introduce and up-titrate GDMT and improve functional class. HYPOTHESIS: Repetitive, intermittent milrinone therapy may assist with the stabilization of advanced HF patients. METHODS: Advanced HF patients treated with beta-blockers and implanted with defibrillators were initiated with repetitive, intermittent short-term intravenous milrinone therapy at our HF outpatient unit. Patients were prospectively followed with defibrillator interrogation, functional class assessment, B-natriuretic peptide (BNP) levels, and echocardiography parameters. RESULTS: The cohort included 24 patients with a mean 330 ± 240 days of milrinone therapy exposure. Mean age was 73 ± 6 years with male predominance (96%). Following milrinone therapy, median BNP levels decreased significantly (882 [286-3768] to 631 [278-1378] pg/ml, p = .017) with a significant reduction in the number of patients with New York Heart Association (NYHA) Class III and IV (p = .012, 0.013) and an increase in number of patients on GDMT. Importantly, the number of total sustained ventricular tachycardia events and HF hospitalizations did not change. CONCLUSIONS: In this small cohort of advanced HF, repetitive, intermittent, short-term milrinone therapy was found to be safe and potentially efficacious.

Pericardial Involvement in Patients Hospitalized With COVID-19: Prevalence, Associates, and Clinical Implications.

Background The scope of pericardial involvement in COVID-19 infection is unknown. We aimed to evaluate the prevalence, associates, and clinical impact of pericardial involvement in hospitalized patients with COVID-19. Methods and Results Consecutive patients with COVID-19 underwent clinical and echocardiographic examination, irrespective of clinical indication, within 48 hours as part of a prospective predefined protocol. Protocol included clinical symptoms and signs suggestive of pericarditis, calculation of modified early warning score, ECG and echocardiographic assessment for pericardial effusion, left and right ventricular systolic and diastolic function, and hemodynamics. We identified predictors of mortality and assessed the adjunctive value of pericardial effusion on top of clinical and echocardiographic parameters. The study included 530 patients. Pericardial effusion was found in 75 (14%), but only 17 patients (3.2%) fulfilled the criteria for acute pericarditis. Pericardial effusion was independently associated with modified early warning score, brain natriuretic peptide, and right ventricular function. It was associated with excess mortality (hazard ratio [HR], 2.44; P=0.0005) in nonadjusted analysis. In multivariate analysis adjusted for modified early warning score and echocardiographic and hemodynamic parameters, it was marginally associated with mortality (HR, 1.86; P=0.06) and improvement in the model fit (P=0.07). Combined assessment for pericardial effusion with modified early warning score, left ventricular ejection fraction, and tricuspid annular plane systolic excursion was an independent predictor of outcome (HR, 1.86; P=0.02) and improved model fit (P=0.02). Conclusions In hospitalized patients with COVID-19, pericardial effusion is prevalent, but rarely attributable to acute pericarditis. It is associated with myocardial dysfunction and mortality. A limited echocardiographic examination, including left ventricular ejection fraction, tricuspid annular plane systolic excursion, and assessment for pericardial effusion, can contribute to outcome prediction.

Evolution of right and left ventricle routine and speckle-tracking echocardiography in patients recovering from coronavirus disease 2019: a longitudinal study.

AIMS: We aim to assess changes in routine echocardiographic and longitudinal strain parameters in patients recovering from Coronavirus disease 2019 during hospitalization and at 3-month follow-up. METHODS AND RESULTS: Routine comprehensive echocardiography and STE of both ventricles were performed during hospitalization for acute coronavirus disease 2019 (COVID-19) infection as part of a prospective pre-designed protocol and compared with echocardiography performed ∼3 months after recovery in 80 patients, using a similar protocol. Significantly improved right ventricle (RV) fractional area change, longer pulmonary acceleration time, lower right atrial pressure, and smaller RV end-diastolic and end-systolic area were observed at the recovery assessment (P < 0.05 for all). RV global longitudinal strain improved at the follow-up evaluation (23.2 ± 5 vs. 21.7 ± 4, P = 0.03), mostly due to improvement in septal segments. Only eight (10%) patients recovering from COVID-19 infection had abnormal ejection fraction (EF) at follow-up. However, LV related routine (E, E/e', stroke volume, LV size), or STE parameters did not change significantly from the assessment during hospitalization. A significant proportion [36 (45%)] of patients had some deterioration of longitudinal strain at follow-up, and 20 patients (25%) still had abnormal LV STE ∼3 months after COVID-19 acute infection. CONCLUSION: In patients previously discharged from hospitalization due to COVID-19 infection, RV routine echocardiographic and RV STE parameters improve significantly concurrently with improved RV haemodynamics. In contrast, a quarter of patients still have LV systolic dysfunction based on STE cut-offs. Moreover, LV STE does not improve significantly, implying subclinical LV dysfunction may be part and parcel of recovering from COVID-19 infection.

A novel contact-free atrial fibrillation monitor: a pilot study.

Aims: Atrial fibrillation (AF) is a major cause of morbidity and mortality. Current guidelines support performing electrocardiogram (ECG) screenings to spot AF in high-risk patients. The purpose of this study was to validate a new algorithm aimed to identify AF in patients measured with a recent FDA-cleared contact-free optical device. Methods and results: Study participants were measured simultaneously using two devices: a contact-free optical system that measures chest motion vibrations (investigational device, 'Gili') and a standard reference bed-side ECG monitor (Mindray®). Each reference ECG was evaluated by two board certified cardiologists that defined each trace as: regular rhythm, AF, other irregular rhythm or indecipherable/missing. A total of 3582, 30-s intervals, pertaining to 444 patients (41.9% with a history of AF) were made available for analysis. Distribution of patients with active AF, other irregular rhythm, and regular rhythm was 16.9%, 29.5%, and 53.6% respectively. Following application of cross-validated machine learning approach, the observed sensitivity and specificity were 0.92 [95% confidence interval (CI): 0.91-0.93] and 0.96 (95% CI: 0.95-0.96), respectively. Conclusion: This study demonstrates for the first time the efficacy of a contact-free optical device for detecting AF.

Cardiorespiratory Abnormalities in Patients Recovering from Coronavirus Disease 2019.

BACKGROUND: A large number of patients around the world are recovering from coronavirus disease 2019 (COVID-19); many of them report persistence of symptoms. The aim of this study was to test pulmonary, cardiovascular, and peripheral responses to exercise in patients recovering from COVID-19. METHODS: Patients who recovered from COVID-19 were prospectively evaluated using a combined anatomic and functional assessment. All patients underwent clinical examination, laboratory tests, and combined stress echocardiography and cardiopulmonary exercise testing. Left ventricular volumes, ejection fraction, stroke volume, heart rate, E/e' ratio, right ventricular function, oxygen consumption (Vo2), lung volumes, ventilatory efficiency, oxygen saturation, and muscle oxygen extraction were measured in all effort stages and compared with values in historical control subjects. RESULTS: A total of 71 patients were assessed 90.6 ± 26 days after the onset of COVID-19 symptoms. Only 23 (33%) were asymptomatic. The most common symptoms were fatigue (34%), muscle weakness or pain (27%), and dyspnea (22%). Vo2 was lower among post-COVID-19 patients compared with control subjects (P = .03, group-by-time interaction P = .007). Reduction in peak Vo2 was due to a combination of chronotropic incompetence (75% of post-COVID-19 patients vs 8% of control subjects, P < .0001) and an insufficient increase in stroke volume during exercise (P = .0007, group-by-time interaction P = .03). Stroke volume limitation was mostly explained by diminished increase in left ventricular end-diastolic volume (P = .10, group-by-time interaction P = .03) and insufficient increase in ejection fraction (P = .01, group-by-time interaction P = .01). Post-COVID-19 patients had higher peripheral oxygen extraction (P = .004) and did not have significantly different respiratory and gas exchange parameters compared with control subjects. CONCLUSIONS: Patients recovering from COVID-19 have symptoms associated with objective reduction in peak Vo2. The mechanism of this reduction is complex and mainly involves a combination of attenuated heart rate and stroke volume reserve.

Risk prediction in patients with COVID-19 based on haemodynamic assessment of left and right ventricular function.

AIMS: Cardiovascular involvement is common in COVID-19. We sought to describe the haemodynamic profiles of hospitalized COVID-19 patients and determine their association with mortality. METHODS AND RESULTS: Consecutive hospitalized patients diagnosed with COVID-19 infection underwent clinical evaluation using the Modified Early Warning Score (MEWS) and a full non-invasive echocardiographic haemodynamic evaluation, irrespective of clinical indication, as part of a prospective predefined protocol. Patients were stratified based on filling pressure and output into four groups. Multivariable Cox-Hazard analyses determined the association between haemodynamic parameters with mortality. Among 531 consecutive patients, 44% of patients had normal left ventricular (LV) and right ventricular (RV) haemodynamic status. In contrast to LV haemodynamic parameters, RV parameters worsened with higher MEWS stage. While RV parameters did not have incremental risk prediction value above MEWS, LV stroke volume index, E/e' ratio, and LV stroke work index were all independent predictors of outcome, particularly in severe disease. Patients with LV or RV with high filling pressure and low output had the worse outcome, and patients with normal haemodynamics had the best (P < 0.0001). CONCLUSION: In hospitalized patients with COVID-19, almost half have normal left and right haemodynamics at presentation. RV but not LV haemodynamics are related to easily obtainable clinical parameters. LV but not RV haemodynamics are independent predictors of mortality, mostly in patients with severe disease.

Assessment of Kidney Function After Transcatheter Aortic Valve Replacement.

BACKGROUND: Transcatheter aortic valve replacement (TAVR), although associated with an increased risk for acute kidney injury (AKI), may also result in improvement in renal function. OBJECTIVE: The aim of this study is to evaluate the magnitude of kidney function improvement (KFI) after TAVR and to assess its significance on long-term mortality. DESIGN: This is a prospective single center study. SETTING: The study was conducted in cardiology department, interventional unit, in a tertiary hospital. PATIENTS: The cohort included 1321 patients who underwent TAVR. MEASUREMENTS: Serum creatinine level was measured at baseline, before the procedure, and over the next 7 days or until discharge. METHODS: Kidney function improvement was defined as the mirror image of AKI, a reduction in pre-procedural to post-procedural minimal creatinine of more than 0.3 mg/dL, or a ratio of post-procedural minimal creatinine to pre-procedural creatinine of less than 0.66, up to 7 days after the procedure. Patients were categorized and compared for clinical endpoints according to post-procedural renal function change into 3 groups: KFI, AKI, or preserved kidney function (PKF). The primary endpoint was long-term all-cause mortality. RESULTS: The incidence of KFI was 5%. In 55 out of 66 patients patients, the improvement in kidney function was minor and of unclear clinical significance. Acute kidney injury occurred in 19.1%. Estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 was a predictor of KFI after multivariable analysis (odds ratio = 0.93 to develop KFI; confidence interval [95% CI]: 0.91-0.95, P < .001). Patients in the KFI group had a higher Society of Thoracic Surgery (STS) score than other groups. Mortality rate did not differ between KFI group and PKF group (43.9% in KFI group and 33.8% in PKF group) but was significantly higher in the AKI group (60.7%, P < .001). LIMITATIONS: The following are the limitations: heterozygous definitions of KFI within different studies and a single center study. Although data were collected prospectively, analysis plan was defined after data collection. CONCLUSIONS: Improvement in kidney function following TAVR was not a common phenomenon in our cohort and did not reduce overall mortality rate.

CONTEXTE: L'implantation transcathéter de valvule aortique (ITVA), bien qu'elle soit associée à un risque accru d'insuffisance rénale aiguë (IRA), est susceptible d'améliorer la fonction rénale. OBJECTIFS: Évaluer l'ampleur de l'amélioration de la fonction rénale (AFR) après une ITVA et évaluer son incidence sur le taux de mortalité à long terme. TYPE D'ÉTUDE: Étude prospective menée dans un seul centre hospitalier. CADRE: Le service de cardiologie, unité interventionnelle, d'un centre de soins tertiaires. SUJETS: La cohorte était constituée de 1 321 patients ayant subi une ITVA. MESURES: Le taux de créatinine sérique a été mesuré à l'inclusion, avant l'intervention et pour les 7 jours suivants, ou jusqu'au congé du patient. MÉTHODOLOGIE: L'AFR a été définie comme l'image miroir de l'IRA, soit une réduction de plus de 0,3 mg/dl du taux de créatinine après l'intervention par rapport au taux minimum de créatinine mesuré pré-ITVA, ou un rapport entre la créatinine minimale post-ITVA et la créatinine pré-ITVA inférieur à 0,66 jusqu'à 7 jours après l'intervention. Les patients ont été classés en trois groupes et comparés selon des critères cliniques en fonction de la modification de la fonction rénale après l'intervention : un groupe AFR, un groupe IRA et un groupe « fonction rénale préservée ¼ (FRP). Le critère principal était la mortalité toutes causes confondues. RÉSULTATS: L'incidence d'une AFR était de 5 % et elle s'est avérée mineure et d'importance clinique incertaine pour 55 des 66 patients concernés. La proportion de patients atteints d'IRA était de 19,1 %. Après l'analyse multivariée, un débit de filtration glomérulaire estimé (DFGe) inférieur à 60 ml/min/1,73 m2 s'est avéré un facteur prédictif de l'AFR [rapport de cotes pour une AFR : 0,93 (IC : 0,91-0,95; p < 0,001)]. Les patients du groupe AFR présentaient un score de la Society of Thoracic Surgery (STS) plus élevé que ceux des autres groupes. Le taux de mortalité était similaire pour les groupes AFR et FRP (respectivement 43,9 % et 33,8 %), mais s'est avéré significativement plus élevé dans le groupe IRA (60,7 %; p < 0,001). LIMITES: Manque de consensus autour de la définition d'une amélioration de la fonction rénale dans les différentes études.Étude menée dans un seul centre.Bien que les données aient été recueillies de façon prospective, le plan d'analyse n'a été défini qu'après la collecte des données. CONCLUSION: L'amélioration de la fonction rénale après l'ITVA n'était pas un phénomène courant dans notre cohorte et n'a pas permis de réduire le taux de mortalité global.

The Predictive Role of Combined Cardiac and Lung Ultrasound in Coronavirus Disease 2019.

BACKGROUND: The aim of this study was to evaluate sonographic features that may aid in risk stratification and to propose a focused cardiac and lung ultrasound (LUS) algorithm in patients with coronavirus disease 2019. METHODS: Two hundred consecutive hospitalized patients with coronavirus disease 2019 underwent comprehensive clinical and echocardiographic examination, as well as LUS, irrespective of clinical indication, within 24 hours of admission as part of a prospective predefined protocol. Assessment included calculation of the modified early warning score (MEWS), left ventricular systolic and diastolic function, hemodynamic and right ventricular assessment, and a calculated LUS score. Outcome analysis was performed to identify echocardiographic and LUS predictors of mortality or the composite event of mortality or need for invasive mechanical ventilation and to assess their adjunctive value on top of clinical parameters and MEWS. RESULTS: A simplified echocardiographic risk score composed of left ventricular ejection fraction < 50% combined with tricuspid annular plane systolic excursion < 18 mm was associated with mortality (P = .0002) and with the composite event (P = .0001). Stepwise analyses evaluating echocardiographic and LUS parameters on top of existing clinical risk scores showed that addition of tricuspid annular plane systolic excursion and stroke volume index improved prediction of mortality when added to clinical variables but not when added to MEWS. Once echocardiography was added, and patients were recategorized as high risk only if having both high-risk MEWS and high-risk cardiac features, specificity increased from 63% to 87%, positive predictive value from 28% to 48%, and accuracy from 66% to 85%. Although LUS was not associated with incremental risk prediction for mortality above clinical and echocardiographic criteria, it improved prediction of need for invasive mechanical ventilation. CONCLUSIONS: In hospitalized patients with coronavirus disease 2019, a very limited echocardiographic examination is sufficient for outcome prediction. The addition of echocardiography in patients with high-risk MEWS decreases the rate of falsely identifying patients as high risk to die and may improve resource allocation in case of high patient load.

The impact of normal range estimated glomerular filtration rate on mortality in selected patients undergoing coronary angiography - a long-term follow-up.

BACKGROUND: Estimated glomerular filtration rate (eGFR) predicts mortality and adverse cardiovascular events in people with chronic kidney disease. The significance of eGFR within the normal range and its long-term effect on clinical adverse events is unknown. We examined the effect of normal range or mildly reduced eGFR on long-term mortality in a large prospective registry. METHODS: The study included consecutive patients undergoing clinically-driven coronary angiography who had an eGFR ≥60 ml/min/1.73 m2. Baseline clinical characteristics were assessed, and patients were followed-up for the occurrence of all-cause mortality. Cox regression analysis was used to evaluate the impact of eGFR. RESULTS: A total of 4186 patients were recruited. Median follow-up time was 2883 days (7.9 years). Mean age was 62.0 ± 11.3 years with 77.4% males. Clinical presentation included acute coronary syndrome and stable angina. In a multivariable model adjusted for possible confounding factors, decreasing eGFR within the normal and mildly reduced range was inversely associated with long-term all-cause mortality with a hazard ratio (HR) of 1.32 for every decrease of 10 ml/min/1.732 in eGFR. Compared to eGFR > 100 ml/min/1.732, there was a graded association between lower eGFR values and increased long term mortality with a HR of 1.16 (0.59-2.31) for eGFR 90-100 ml/min/1.732, HR 1.54 (0.81-2.91) for eGFR 80-90 ml/min/1.732, HR 2.62 (1.41-4.85) for eGFR 70-80 ml/min/1.732 and HR 2.93 (1.58-5.41) for eGFR 60-70 ml/min/1.732. CONCLUSION: eGFR within the normal and mildly reduced range is an independent predictor of long-term all-cause mortality in selected patients undergoing clinically driven coronary angiography.