Early Longitudinal Change in Heart Failure Health Status Following Initiation of Canagliflozin

BACKGROUND

Sodium glucose co-transporter 2 inhibitor (SGLT2i) therapy improves health status in heart failure (HF). There is insufficient description regarding the timing, rate, and extent of the health status changes in heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF) after initiation of SGLT2is.

OBJECTIVES

The authors sought to model the association of canagliflozin treatment with rates of change in HF symptom status in HFpEF and HFrEF.

METHODS

Study participants with HFrEF and HFpEF were treated with either canagliflozin 100 mg or placebo for 12 weeks. The Kansas City Cardiomyopathy Questionnaire Total Symptom Score (KCCQ-TSS) was assessed at baseline and at 2, 4, 6, and 12 weeks. Longitudinal modeling assessed slope of KCCQ change across the study.

RESULTS

Among 448 individuals with HF (181 with HFrEF and 267 with HFpEF), participants with HFpEF had lower baseline KCCQ-TSS scores than those with HFrEF (54 ± 21 vs 64 ± 20). Modeling demonstrated initial rapid improvement in KCCQ-TSS in both HF groups, with deceleration over the next 4 to 6 weeks. The rate of change was greater among HFpEF participants (0.7 points/day; 95% CI: 0.3-1.1 points/day) than HFrEF participants (ΔKCCQ-TSS/day = 0.5; 95% CI: 0.1-1.0 points/day) randomized to canagliflozin, but these differences were not statistically significant (0.2 points/day; 95% CI: -0.4 to 0.7 points/day; P = 056).

CONCLUSIONS

After canagliflozin therapy, regardless of EF, modeling shows the KCCQ-TSS improves rapidly with the greatest improvements occurring within the first weeks of treatment. These results have implications for clinical use of SGLT2is and may be useful in the design of trials examining impact of these agents on health status in HF. (A Study on Impact of Canagliflozin on Health Status, Quality of Life, and Functional Status in Heart Failure [CHIEF-HF]; NCT04252287).

Associations of Angiopoietin 2 and Vascular Endothelial Growth Factor-A Concentrations with Clinical End Points

BACKGROUND

Angiopoietin 2 regulates endothelial function partially mediated by vascular endothelial growth factor-A (VEGF-A) and may play a role in diabetic kidney disease (DKD). We assessed the association of angiopoietin 2 and VEGF-A with cardiorenal outcomes and investigated the effect of canagliflozin on angiopoietin 2 and VEGF-A concentrations.

METHODS

Two thousand five hundred sixty-five study participants with DKD and available plasma samples treated with canagliflozin or placebo in the Canagliflozin and Kidney Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) trial were included. Angiopoietin 2 and VEGF-A concentrations were measured at baseline, year 1, and year 3. The primary composite end point of the trial was a composite of kidney failure, doubling of the serum creatinine level, and kidney or cardiovascular death.

RESULTS

Patients with the highest baseline quartile of angiopoietin 2, but not VEGF-A, concentration had the highest risk clinical profile. Treatment with canagliflozin significantly lowered concentrations of angiopoietin 2 (adjusted geometric mean ratio: 0.94; 95% confidence interval, 0.92 to 0.95; P < 0.001), but not VEGF-A. In multivariable-adjusted modeling, each 50% increment in log baseline angiopoietin 2 concentrations was associated with a higher risk of primary composite outcome (hazard ratio, 1.27; 95% confidence interval, 1.13 to 1.43). Angiopoietin 2 change at year 1 compared with baseline explained 10% of the effect of canagliflozin on the primary composite outcome. VEGF-A concentrations were not associated with outcomes, alone or in combination with angiopoietin 2.

CONCLUSIONS

Higher angiopoietin 2 levels were associated with cardiorenal risk among individuals with DKD independent of VEGF-A. Canagliflozin lowered angiopoietin 2 concentrations.

CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER

Evaluation of the Effects of Canagliflozin on Renal and Cardiovascular Outcomes in Participants With Diabetic Nephropathy, NCT02065791 .

Characterizing diabetic cardiomyopathy: baseline results from the ARISE-HF trial

BACKGROUND

Diabetic cardiomyopathy (DbCM) is a form of Stage B heart failure (HF) at high risk for progression to overt disease. Using baseline characteristics of study participants from the Aldose Reductase Inhibition for Stabilization of Exercise Capacity in Heart Failure (ARISE-HF) Trial we sought to characterize clinical characteristics of individuals with findings consistent with DbCM.

METHODS

Among study participants meeting inclusion criteria, clinical characteristics, laboratory testing, imaging, Kansas City Cardiomyopathy Questionnaire (KCCQ), Physical Activity Scale of the Elderly (PASE) and cardiopulmonary exercise testing (CPET) results were tabulated. Cluster phenogroups were identified.

RESULTS

Among 691 study participants (mean age 67.4 years; 50% were female), mean duration of type 2 diabetes mellitus (T2DM) was 14.5 years. The median (Q1, Q3) N-terminal pro-B type natriuretic peptide and high sensitivity cardiac troponin T were 71 (35, 135) ng/L and 9 [6, 12] ng/L. The most common echocardiographic abnormalities were reduced global longitudinal strain in 25.3% and impaired diastolic relaxation in 17.7%. Despite rather well-preserved KCCQ scores the average PASE score was markedly impaired at 155 accompanied by an average maximal oxygen consumption of 15.7 mL/Kg/minute on CPET. In K-means clustering, 4 phenogroups were identified including a higher-risk group with more advanced age, greater elevation of cardiac biomarkers, and more prevalent evidence for diastolic dysfunction and left ventricular hypertrophy.

CONCLUSIONS

Baseline data from the ARISE-HF Trial provide clinical characterization of individuals with T2DM and features of stage B HF, and may help clarify the diagnosis of DbCM.

TRIAL REGISTRATION

ARISE-HF, NCT04083339.

Coronary Computed Tomographic Angiography With Fractional Flow Reserve in Patients With Type 2 Myocardial Infarction

BACKGROUND

Type 2 myocardial infarction (T2MI) related to a supply/demand imbalance of coronary blood flow is common and associated with poor prognosis. Coronary artery disease (CAD) may predispose some individuals to T2MI and contribute to its high rate of recurrent cardiovascular events. Little is known about the presence and extent of CAD in this population.

OBJECTIVES

The goal of this study was to evaluate the presence and characteristics of CAD among patients with T2MI.

METHODS

In this prospective study, consecutive eligible individuals with Fourth Universal Definition of Myocardial Infarction criteria for T2MI were enrolled. Participants underwent coronary computed tomography angiography (CTA), fractional flow reserve derived with coronary CTA (FFRCT), and plaque volume analyses.

RESULTS

Among 50 participants, 25 (50%) were female, and the mean age was 68.0 ± 11.4 years. Atherosclerotic risk factors were common. Coronary CTA revealed coronary plaque in 46 participants (92%). A moderate or greater stenosis (≥50%) was identified in 42% of participants, and obstructive disease (≥50% left main stenosis or ≥70% stenosis in any other epicardial coronary artery) was present in 26%. Prevalence of obstructive CAD did not differ according to T2MI cause (P = 0.54). A hemodynamically significant focal stenosis identified by FFRCT was present in 13 participants (26%). Among participants with a stenosis ≥50% (n = 21), FFRCT excluded lesion-specific hemodynamically significant stenosis in 8 cases (38%).

CONCLUSIONS

Among individuals with adjudicated T2MI, CAD was prevalent, but the majority of patients had nonobstructive CAD. Mediators of ischemia are likely multifactorial in this population. (Defining the Prevalence and Characteristics of Coronary Artery Disease Among Patients with Type 2 Myocardial Infarction using CT-FFR [DEFINE TYPE 2 MI]; NCT04864119).

Isovolumic Contraction Velocity in Heart Failure With Reduced Ejection Fraction and Effect of Sacubitril/Valsartan: the PROVE-HF Study

OBJECTIVES

To assess tissue Doppler-derived mitral annular isovolumic contraction velocity (ICV) after starting sacubitril/valsartan (sac/val) for the treatment of heart failure with reduced ejection fraction (HFrEF) and left ventricular [LV] EF < 40%).

BACKGROUND

ICV may inform load-independent systolic function; combining ICV and LVEF may improve assessment of LV contractility.

METHODS

Among 651 participants with HFrEF treated with sac/val, echocardiograms were performed at baseline, 6 and 12 months. Pretreatment median ICVs and LVEFs were used for classification to predict LV reverse remodeling, health status using the Kansas City Cardiomyopathy Questionnaire, and biomarker concentrations.

RESULTS

The mean age was 64.6 ± 12.4 years, and 28% were women, baseline LVEF: 28.9% ± 6.9%. Compared to baseline, median ICV increased post sac/val therapy (4.6 [3.5, 6.1] vs 4.9 [3.6, 6.4]; P = 0.005). ICV added value to separate and combined models of biomarkers and clinical and echocardiographic variables for prediction of post-therapy EF recovery. Classification using baseline ICV/EF yielded relatively equal numbers in 4 groups based on low/high ICV or LVEF. Most deleterious results for remodeling, health status and biomarkers were found in patients with low ICV/low EF, whereas patients with high ICV/high EF had the best profiles; other groups were intermediate. Significant shifts toward better ICV/EF profiles were noted post sac/val treatment compared to baseline, with doubling of high ICV/high EF (241 [60%] vs 123 [31%]) and 78% reduction of low ICV/low EF (28 [7%] vs 125 [32%]).

CONCLUSIONS

In HFrEF, ICV adds to the profiling of systolic function and represents an independent predictor of reverse cardiac remodeling after treatment with sac/val. ICV changes may be used for assessment of treatment responses.

Importance of the 'area under the curve' from serial NT-proBNP measurements during treatment with sacubitril/valsartan

AIMS

Serial assessment of natriuretic peptides is widely utilized in heart failure clinics. Uncertainty exists regarding the value of multiple natriuretic peptide measurements and how they might be best interpreted.

METHODS AND RESULTS

Six hundred thirty-two patients with heart failure with reduced ejection fraction (<40%) and complete biomarker data were enrolled to receive sacubitril/valsartan. Patients underwent periodic study visits during 1-year follow-ups. Echocardiographic data and cardiac biomarkers, including N-terminal pro-B-type natriuretic peptide (NT-proBNP) were collected during study visits. Patients were categorized into three groups based on tertiles of baseline NT-proBNP levels. The area under the curve (AUC) of NT-proBNP measurements across study visits was calculated. Compared with patients with higher AUC (and thus higher concentrations over a longer period of time), those with lower AUC were younger, had a lower prevalence of chronic kidney disease, prior coronary artery bypass graft, atrial fibrillation, and higher body-mass index. A significant interaction existed between baseline NT-proBNP and subsequent AUC for predicting LVEF change across visits (P-value < 0.001): among those with lower baseline NT-proBNP, similar improvements in left ventricular (LV) volumes LV ejection fraction, and LV mass index were observed across subsequent AUC (P-value > 0.1). However, among those with higher baseline NT-proBNP, those with lower subsequent AUC had a greater improvement in cardiac remodelling indices (P-value < 0.05).

CONCLUSIONS

Serial NT-proBNP monitoring (integrating the totality of measurements as an AUC) during treatment with sacubitril/valsartan informs unique information regarding the future changes in cardiac remodelling indices, especially among those with higher NT-proBNP levels at baseline.

Cardiorenal Biomarkers, Canagliflozin, and Outcomes in Diabetic Kidney Disease: The CREDENCE Trial

BACKGROUND

People with type 2 diabetes and albuminuria are at an elevated risk for cardiac and renal events. The optimal biomarkers to aid disease prediction and to understand the benefits of sodium-glucose cotransporter-2 inhibition remain unclear.

METHODS

Among 2627 study participants in the CREDENCE trial (Canagliflozin and Renal Events in Diabetes With Established Nephropathy Clinical Evaluation), concentrations of NT-proBNP (N-terminal pro-B-type natriuretic peptide), high-sensitivity cardiac troponin T, growth differentiation factor-15, and IGFBP7 (insulin-like growth factor binding protein 7) were measured. The effect of canagliflozin on biomarker concentrations was evaluated. The prognostic potential of each biomarker on the primary outcome (a composite of end-stage kidney disease [dialysis, transplantation, or a sustained estimated glomerular filtration rate of <15 mL·min-1·1.73 m-2], doubling of the serum creatinine level, or renal death or cardiovascular death) was assessed.

RESULTS

The median (quartiles 1 and 3) concentration of each biomarker was generally elevated: NT-proBNP, 180 ng/L (82, 442 ng/L); high-sensitivity cardiac troponin T, 19 ng/L (12, 29 ng/L); growth differentiation factor-15, 2595 ng/L (1852, 3775 ng/L); and IGFBP7, 121.8 ng/mL (105.4, 141.5 ng/mL). At 1 year, the biomarkers all rose by 6% to 29% in the placebo arm but only by 3% to 10% in the canagliflozin arm (all P<0.01 in multivariable linear mixed-effect models). Baseline concentrations of each biomarker were strongly predictive of cardiac and renal outcomes. When the biomarkers were analyzed together in a multimarker panel, individuals with high risk scores (hazard ratio [HR], 4.01 [95% CI, 2.52-6.35]) and moderate risk scores (HR, 2.39 [95% CI, 1.48-3.87]) showed a higher risk for the primary outcome compared with those with low risk scores. By 1 year, a 50% increase in NT-proBNP (HR, 1.11 [95% CI, 1.08-1.15]), high-sensitivity cardiac troponin T (HR, 1.86 [95% CI, 1.64-2.10]), growth differentiation factor-15 (HR, 1.45 [95% CI, 1.24-1.70]), and IGFBP7 (HR, 3.76 [95% CI, 2.54-5.56]) was associated with risk of the primary outcome.

CONCLUSIONS

Multiple cardiorenal stress biomarkers are strongly prognostic in people with type 2 diabetes and albuminuria. Canagliflozin modestly reduced the longitudinal trajectory of rise in each biomarker. Change in the biomarker level in addition to the baseline level augments the primary outcome prediction.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT02065791.

Multiple Biomarkers to Predict Major Adverse Cardiovascular Events in Patients With Coronary Chronic Total Occlusions

Background

There are limited tools available to predict the long-term prognosis of persons with coronary chronic total occlusions (CTO).

Objectives

We evaluated performance of a blood biomarker panel to predict cardiovascular (CV) events in patients with CTO.

Methods

From 1251 patients in the CASABLANCA study, 241 participants with a CTO were followed for an average of 4 years for occurrence of major adverse CV events (MACE, CV death, non-fatal myocardial infarction or stroke) and CV death/heart failure (HF) hospitalization. Results of a biomarker panel (kidney injury molecule-1, N-terminal pro-B-type natriuretic peptide, osteopontin, and tissue inhibitor of metalloproteinase-1) from baseline samples were expressed as low-, moderate-, and high-risk.

Results

By 4 years, a total of 67 (27.8%) MACE events and 56 (23.2%) CV death/HF hospitalization events occurred. The C-statistic of the panel for MACE through 4 years was 0.79. Considering patients in the low-risk group as a reference, the hazard ratio of MACE by 4 years was 6.65 (95% confidence interval [CI]: 2.98-14.8) and 12.4 (95% CI:5.17-29.6) for the moderate and high-risk groups (both P <0.001). The C-statistic for CVD/HF hospitalization by 4 years was 0.84. Compared to the low-risk score group, the moderate and high-risk groups had hazard ratios of 5.61 (95% CI: 2.33-13.5) and 15.6 (95% CI: 6.18, 39.2; both P value <0.001).

Conclusion

A multiple biomarker panel assists in evaluating the risk of adverse outcomes in patients with coronary CTO. These results may have implications for patient care and could have a role for clinical trial enrichment.

Clinical Trial

CASABLANCA, ClinicalTrials.gov Identifier: NCT00842868.

Insulin growth factor axis and cardio-renal risk in diabetic kidney disease: an analysis from the CREDENCE trial

BACKGROUND

The insulin-like growth factors (IGF) play a crucial role in regulating cellular proliferation, apoptosis, and key metabolic pathways. The ratio of IGF-1 to IGF binding protein-3 (IGFBP-3) is an important factor in determining IGF-1 bioactivity. We sought to investigate the association of IGF-1 and IGFBP-3 with cardio-renal outcomes among persons with type 2 diabetes.

METHODS

Samples were available from 2627 individuals with type 2 diabetes and chronic kidney disease that were randomized to receive canagliflozin or placebo and were followed up for incident cardio-renal events. Primary outcome was defined as a composite of end-stage kidney disease, doubling of the serum creatinine level, or renal/cardiovascular death. IGF-1 and IGFBP-3 were measured at baseline, Year-1 and Year-3. Elevated IGF-1 level was defined according to age-specific cutoffs. Cox proportional hazard regression was used to investigate the association between IGF-1 level, IGFBP-3, and the ratio of IGF-1/IGFBP-3 with clinical outcomes.

RESULTS

Elevated IGF-1 was associated with lower glomerular filtration rate at baseline. Treatment with canagliflozin did not significantly change IGF-1 and IGFBP-3 concentrations by 3 years (p-value > 0.05). In multivariable models, elevated IGF-1 (above vs below age-specific cutoffs) was associated with the primary composite outcome (incidence rate:17.8% vs. 12.7% with a hazard ratio [HR]: 1.52; 95% confidence interval CI 1.09-2.13;P: 0.01), renal composite outcome (HR: 1.65; 95% CI 1.14-2.41; P: 0.01), and all-cause mortality (HR: 1.52; 95% CI 1.00-2.32; P; 0.05). Elevations in log IGFBP-3 did not associate with any clinical outcomes. Increase in log IGF-1/IGFBP-3 ratio was also associated with a higher risk of the primary composite outcome (HR per unit increase: 1.57; 95% CI 1.09-2.26; P; 0.01).

CONCLUSIONS

These results further suggest potential importance of IGF biology in the risk for cardio-renal outcomes in type 2 diabetes. SGLT2 inhibition has no impact on the biology of IGF despite its significant influence on outcomes.

TRIAL REGISTRATION

CREDENCE; ClinicalTrials.gov Identifier: NCT02065791.

Effect of 2022 ACC/AHA/HFSA Criteria on Stages of Heart Failure in a Pooled Community Cohort

BACKGROUND

The 2022 American College of Cardiology (ACC)/American Heart Association (AHA)/Heart Failure Society of America (HFSA) clinical practice guideline proposed an updated definition for heart failure (HF) stages.

OBJECTIVES

This study aimed to compare prevalence and prognosis of HF stages according to classification/definition originally described in 2013 and 2022 ACC/AHA/HFSA definitions.

METHODS

Study participants from 3 longitudinal cohorts (the MESA [Multi-Ethnic Study of Atherosclerosis], CHS [Cardiovascular Health Study], and the FHS [Framingham Heart Study]), were categorized into 4 HF stages according to the 2013 and 2022 criteria. Cox proportional hazards regression was used to assess predictors of progression to symptomatic HF and adverse clinical outcomes associated with each HF stage.

RESULTS

Among 11,618 study participants, according to the 2022 staging, 1,943 (16.7%) were healthy, 4,348 (37.4%) were in stage A (at risk), 5,019 (43.2%) were in stage B (pre-HF), and 308 (2.7%) were in stage C/D (symptomatic HF). Compared to the classification/definition originally described in 2013, the 2022 ACC/AHA/HFSA approach resulted in a higher proportion of individuals with stage B HF (increase from 15.9% to 43.2%); this shift disproportionately involved women as well as Hispanic and Black individuals. Despite the 2022 criteria designating a greater proportion of individuals as stage B, the relative risk of progression to symptomatic HF remained similar (HR: 10.61; 95% CI: 9.00-12.51; P < 0.001).

CONCLUSIONS

New standards for HF staging resulted in a substantial shift of community-based individuals from stage A to stage B. Those with stage B HF in the new system were at high risk for progression to symptomatic HF.

Lipoprotein(a), Oxidized Phospholipids, and Coronary Artery Disease Severity and Outcomes

BACKGROUND

Lipoprotein(a) (Lp[a]) and oxidized phospholipids (OxPLs) are each independent risk factors for atherosclerotic cardiovascular disease. The extent to which Lp(a) and OxPLs predict coronary artery disease (CAD) severity and outcomes in a contemporary, statin-treated cohort is not well established.

OBJECTIVES

This study sought to evaluate the relationships between Lp(a) particle concentration and OxPLs associated with apolipoprotein B (OxPL-apoB) or apolipoprotein(a) (OxPL-apo[a]) with angiographic CAD and cardiovascular outcomes.

METHODS

Among 1,098 participants referred for coronary angiography in the CASABLANCA (Catheter Sampled Blood Archive in Cardiovascular Diseases) study, Lp(a), OxPL-apoB, and OxPL-apo(a) were measured. Logistic regression estimated the risk of multivessel coronary stenoses by Lp(a)-related biomarker level. Cox proportional hazards regression estimated the risk of major adverse cardiovascular events (MACEs) (coronary revascularization, nonfatal myocardial infarction, nonfatal stroke, and cardiovascular death) in follow-up.

RESULTS

Median Lp(a) was 26.45 nmol/L (IQR: 11.39-89.49 nmol/L). Lp(a), OxPL-apoB, and OxPL-apo(a) were highly correlated (Spearman R ≥0.91 for all pairwise combinations). Lp(a) and OxPL-apoB were associated with multivessel CAD. Odds of multivessel CAD per doubling of Lp(a), OxPL-apoB, and OxPL-apo(a) were 1.10 (95% CI: 1.03-1.18; P = 0.006), 1.18 (95% CI: 1.03-1.34; P = 0.01), and 1.07 (95% CI: 0.99-1.16; P = 0.07), respectively. All biomarkers were associated with cardiovascular events. HRs for MACE per doubling of Lp(a), OxPL-apoB, and OxPL-apo(a) were 1.08 (95% CI: 1.03-1.14; P = 0.001), 1.15 (95% CI: 1.05-1.26; P = 0.004), and 1.07 (95% CI: 1.01-1.14; P = 0.02), respectively.

CONCLUSIONS

In patients undergoing coronary angiography, Lp(a) and OxPL-apoB are associated with multivessel CAD. Lp(a), OxPL-apoB, and OxPL-apo(a) are associated with incident cardiovascular events. (Catheter Sampled Blood Archive in Cardiovascular Diseases [CASABLANCA]; NCT00842868).

Clinical profiling of end-stage heart failure with preserved ejection fraction: The National Readmission Database

BACKGROUND

End-stage (Stage D) heart failure with preserved ejection fraction (HFpEF) is a poorly characterized syndrome that has heterogeneous underlying pathophysiology. A better characterization of the various clinical profiles of Stage D HFpEF is needed.

METHOD

1066 patients with Stage D HFpEF were selected from National Readmission Database. A Bayesian clustering algorithm based on a Dirichlet process mixture model was implemented. Cox proportional hazard regression model was used to relate the risk of in-hospital mortality with each identified clinical cluster.

RESULT

4 distinct clinical clusters were recognized. Group 1 had a higher prevalence of obesity (84.5%) and sleep disorders (62.0%). Group 2 had a higher prevalence of diabetes mellitus (92%), chronic kidney disease (98.3%), anemia (72.6%), and coronary artery disease (59.0%). Group 3 had a higher prevalence of advanced age (82.1%), hypothyroidism (28.9%), dementia (17.0%), atrial fibrillation (63.8%) and valvular disease (30.5%) and Group 4 had a higher prevalence of liver disease (44.5%), right-sided HF (20.2%) and amyloidosis (4.5%). During 2019, 193 (18.1%) in-hospital mortality events occurred. Considering Group 1 (with mortality rate of 4.1%) as a reference, the hazard ratio of in-hospital mortality was 5.4 [95% confidence interval (CI): 2.2-13.6] for Group 2, 6.4 (95% CI: 2.6-15.8) for Group 3 and 9.1 (95% CI: 3.5-23.8) for Group 4.

CONCLUSION

End-stage HFpEF presents with different clinical profiles with varied upstream causes. This may help provide evidence toward the development of targeted therapies.

Inflammation across universal definition of heart failure stages: the CASABLANCA study

AIM

We sought to investigate the association of inflammatory biomarkers with incident heart failure (HF) events in patients at different stages of HF.

METHODS AND RESULTS

Overall, 1231 study participants undergoing diagnostic coronary and/or peripheral angiography were categorized by Universal Definition of HF (UDHF) stage A (at risk), stage B (pre-HF), and stages C or D (HF, including end-stage). Twenty-four inflammatory biomarkers were collected prior to angiography and unsupervised machine learning categorized levels of inflammation into three groups (low, medium, and high). Cox proportional hazard regression was implemented to assess the associations of inflammation level with incident HF hospitalization in each UDHF stage. Using machine learning, study participants were grouped into low (n = 443), medium (n = 570) and high inflammation categories (n = 230). Significantly higher concentrations of natriuretic peptide, troponin, and soluble ST2 were observed among those with high inflammation levels (p < 0.001). During 3.7 years of follow-up, 123 (15.1%) HF hospitalizations occurred in stage A/B and 180 (41.8%) HF hospitalizations occurred in stage C/D. In multivariable model considering low inflammation level as a reference, among patients with stage A/B, the hazard ratio (HR) (95% confidence interval [CI]) of incident HF was 2.31 (1.40-3.80) for moderate inflammation level, and 4.16 (2.35-7.37) for high inflammation level. Among patients with stage C/D, the corresponding HR (95% CI) of HF hospitalization was 1.98 (1.28-3.04) for moderate inflammation level, and 2.69 (1.69-4.28) for high inflammation level.

CONCLUSION

Patterns of inflammation severity may have differing prognostic meaning across UDHF stages.

Performance of a multi-biomarker panel for prediction of cardiovascular event in patients with chronic kidney disease

BACKGROUND

Patients with chronic kidney disease (CKD) undergoing coronary catheterization are at increased risk of cardiovascular events (CVE). Measuring biomarkers before the procedure may guide clinicians in identifying patients at higher risk of future cardiovascular events.

METHODS

In this sub-study the Catheter Sampled Blood Archive in Cardiovascular Diseases (CASABLANCA), 927 patients underwent coronary catheterization and were followed up for two years. Using machine learning algorithm and targeted proteomics from samples of patients with CKD, 4 biomarkers (kidney injury molecule-1, N-terminal pro B-type natriuretic peptide, osteopontin, and tissue inhibitor of metalloproteinase-1) were integrated into a prognostic algorithm to predict CVE. Results from the panel are expressed in a graded fashion (CVE higher risk and lower risk) using a data-driven cutoff optimized for balanced sensitivity and specificity.

RESULTS

During the 2-year follow-up, 74 CVE were ascertained. 51 (rate: 51/378 = 13.5%) events occurred in stage 1-2 CKD and 23 (rate: 23/68 = 33.8%) events occurred in stage 3-5 CKD. The C-statistic for predicting 2-years cardiovascular events in all 446 patients was 0.77 (0.72, 0.82). The model was well-calibrated (Hosmer-Lemeshow test p-value >0.40). Considering patients at CVE lower-risk within each CKD staging group as a reference, the hazard ratio (95% confidence interval) of cardiovascular events was 2.82 (1.53, 5.22) for CKD stage 1-2/CVE higher-risk, and 8.32 (1.12, 61.76) for CKD stage 3-5/CVE higher-risk.

CONCLUSION

Measuring biomarker panel prior to coronary catheterization may be useful to individualize CVE risk assessment among patients with CKD.

Prediction of Left Ventricular Ejection Fraction Change Following Treatment With Sacubitril/Valsartan

BACKGROUND

Sacubitril/valsartan (Sac/Val) improves left ventricular ejection fraction (LVEF) in heart failure (HF) with reduced ejection fraction regardless of previous treatments. Improvements in LVEF may change eligibility for primary implantable cardioverter-defibrillator (ICD) placement. Awaiting LVEF improvement may expose patients to potential risks for arrhythmic complications.

OBJECTIVES

The authors sought to develop a model predicting LVEF change after Sac/Val therapy.

METHODS

A total of 416 persons with HF and LVEF of <35% were included in this analysis. Following initiation of Sac/Val, echocardiographic parameters were measured serially for 1 year. A machine learning algorithm was implemented to develop a risk model for predicting the persistence of LVEF of <35% after 1 year and was validated in a separate group of study participants.

RESULTS

Baseline LVEF, left ventricular mass index, HF duration, age, N-terminal pro-B-type natriuretic peptide concentration at baseline and change by day 14, and body mass index were the most significant factors for identifying lack of LVEF improvement to ≥35% after 1 year. In the training and validation cohorts, the areas under the model curve for predicting lack of LVEF improvement were 0.92 and 0.86, respectively. Three categories of likelihood for LVEF of <35% after 1 year of Sac/Val treatment were developed based on the model predictions: 3.8%, 30.1%, and 83.7%. During follow-up, arrhythmia event rates were 0.9%, 2.9%, and 6.7% in these groups, respectively.

CONCLUSIONS

Many persons with HF with reduced ejection fraction eligible for ICD insertion experience an increase in LVEF to ≥35% after treatment with Sac/Val. Early identification of those less likely to improve their LVEF might allow for more refined selection of primary ICD candidates. (Effects of Sacubitril/Valsartan Therapy on biomarkers, Myocardial Remodeling, and Outcomes [PROVE-HF]; NCT02887183).

Heart Failure Duration and Mechanistic Efficacy of Sacubitril/Valsartan in Heart Failure With Reduced Ejection Fraction

BACKGROUND

Although sacubitril/valsartan (Sac/Val) is indicated for the treatment of heart failure with reduced ejection fraction (HFrEF), gaps in care continue to exist for those with newer onset HFrEF vs those with longer durations of disease.

METHODS AND RESULTS

We categorized 794 persons with HFrEF (EF of ≤40%) according to a HF duration of less than 12 months, 12-24 months, 24-60 months, and more than> 60 months. After the initiation of Sac/Val, concentrations of N-terminal pro-B type natriuretic peptide, high sensitivity cardiac troponin T, and soluble ST2 were measured, and Kansas City Cardiomyopathy Questionnaire 23 scores were obtained serially from baseline to 12 months. The left ventricular ejection fraction was measured by echocardiography. Significant decreases in the concentrations of N-terminal pro-B type natriuretic peptide, high sensitivity cardiac troponin T, and soluble ST2 were observed regardless of HF duration (P < .001). Comparable gains in Kansas City Cardiomyopathy Questionnaire 23 scores were achieved in all HF duration categories. Moreover, consistent reverse cardiac remodeling in all HF duration categories occurred, with the absolute left ventricular ejection fraction improvement by 12 months across HF duration groups of 12.2%, 6.9%, 8.5%, and 8.6% for HF duration of less than 12 months, 12-24 months, 24-60 months, and more than 60 months, respectively.

CONCLUSIONS

The initiation of Sac/Val decreases prognostic biomarkers, improves health status, and reverses cardiac remodeling processes, regardless of HF duration.

BRIEF LAY SUMMARY

We categorized 794 persons with heart failure owing to a low ejection fraction according to disease duration into 4 groups: less than 12 months, 12-24 months, 24-60 months, and more than 60 months. After the initiation of sacubitril/valsartan (Entresto), we found that regardless of the duration of heart failure significant improvements occurred in cardiac biomarkers, patients felt better with improved health status and on testing with cardiac ultrasound examination, improvement in heart size, and function occurred. These results suggest that, regardless of heart failure duration, patients with a reduced ejection fraction would benefit from use of sacubitril/valsartan for their care.

Inflammatory biomarkers and risk of cardiovascular events in patients undergoing coronary angiography

BACKGROUND

Inflammation, measured by traditional biomarkers such as C-reactive protein, has been linked to cardiovascular (CV) events. Recent technological advancement has allowed for measuring larger numbers of inflammatory biomarkers. A contemporary evaluation with established and novel biomarkers of inflammation is needed.

METHODS

1,090 individuals who underwent coronary angiography were enrolled. Twenty-four inflammatory biomarkers were collected prior to angiography. Unsupervised machine learning cluster analyses determined unique patterns of inflammatory biomarkers. Cox proportional hazard regression assessed both association of inflammatory biomarker clusters and individual biomarker associations with major adverse cardiovascular events (MACE; non-fatal myocardial infarction or stroke, and CV death) during a median follow-up of 3.67 years.

RESULTS

Four distinct clusters were recognized. Incremental increases in inflammatory biomarkers were observed from cluster 1 to cluster 4. During follow-up, 263 MACE were ascertained. Considering cluster 1 as a reference, study participants with inflammatory cluster 2 (Hazard ratio [HR] 1.55, 95% confidence interval [CI]: 1.01-2.37), cluster 3 (HR 1.89, CI: 1.25-2.85), and cluster 4 (HR 2.93, CI: 1.95-4.42) were at increased risk of MACE. Interleukin (IL)-1α IL-6, IL-8, IL-10, IL-12, Adhesion molecule-1 high-sensitivity C-reactive protein, ferritin, myeloperoxidase, macrophage inflammatory protein (MIP)-1a, MIP 3, and macrophage colony-stimulating factor-1 were independently associated with MACE.

CONCLUSIONS

Among persons undergoing coronary angiography procedures, distinct clusters of inflammatory biomarker distributions with significant prognostic meaning may be identified. These results may identify unique targets for anti-inflammatory treatments aimed at CV disease.

Cardiovascular Disease Projections in the United States Based on the 2020 Census Estimates

BACKGROUND

Understanding trends in cardiovascular (CV) risk factors and CV disease according to age, sex, race, and ethnicity is important for policy planning and public health interventions.

OBJECTIVES

The goal of this study was to project the number of people with CV risk factors and disease and further explore sex, race, and ethnical disparities.

METHODS

The prevalence of CV risk factors (diabetes mellitus, hypertension, dyslipidemia, and obesity) and CV disease (ischemic heart disease, heart failure, myocardial infarction, and stroke) according to age, sex, race, and ethnicity was estimated by using logistic regression models based on 2013-2018 National Health and Nutrition Examination Survey data and further combining them with 2020 U.S. Census projection counts for years 2025-2060.

RESULTS

By the year 2060, compared with the year 2025, the number of people with diabetes mellitus will increase by 39.3% (39.2 million [M] to 54.6M), hypertension by 27.2% (127.8M to 162.5M), dyslipidemia by 27.5% (98.6M to 125.7M), and obesity by 18.3% (106.3M to 125.7M). Concurrently, projected prevalence will similarly increase compared with 2025 for ischemic heart disease by 31.1% (21.9M to 28.7M), heart failure by 33.0% (9.7M to 12.9M), myocardial infarction by 30.1% (12.3M to 16.0M), and stroke by 34.3% (10.8M to 14.5M). Among White individuals, the prevalence of CV risk factors and disease is projected to decrease, whereas significant increases are projected in racial and ethnic minorities.

CONCLUSIONS

Large future increases in CV risk factors and CV disease prevalence are projected, disproportionately affecting racial and ethnic minorities. Future health policies and public health efforts should take these results into account to provide quality, affordable, and accessible health care.

Biomarker prognostication across Universal Definition of Heart Failure stages

AIM

The Universal Definition of Heart Failure (UDHF) provides a framework for staging risk for HF events. It is not clear whether prognostic biomarkers have different meaning across UDHF stages. We sought to evaluate performance of biomarkers to predict HF events among high-risk patients undergoing coronary and/or peripheral angiography categorized into UDHF stages.

METHODS

One thousand two hundred thirty-five individuals underwent coronary and/or peripheral angiography were enrolled. Study participants were categorized into UDHF Stage A (at risk), Stage B (pre-HF), and Stage C or D (HF, including end stage) and grouped into Stage A/B and C/D. Biomarkers and clinical variables were used to develop prognostic models. Other measures examined included total HF hospitalizations.

RESULTS

Over a median of 3.67 years of follow-up, 155 cardiovascular (CV) deaths occurred, and 299 patients were hospitalized with acute HF. In patients with Stage A/B, galectin-3 (HR = 1.52, P = 0.03), endothelin-1 (HR = 2.16, P = 0.001), and N-terminal pro-B-type natriuretic peptide (NT-proBNP; HR = 1.43, P < 0.001) were associated with incident CV death/HF hospitalization. In Stage C/D, NT-proBNP (HR = 1.26, P = 0.006), soluble urokinase-type plasminogen activator receptor (suPAR; HR = 1.57, P = 0.007) and high-sensitivity C-reactive protein (hs-CRP; HR = 1.15, P = 0.01) were associated with these outcomes. Higher biomarker concentrations were associated with greater total burden of HF events in Stages A/B and C/D.

CONCLUSIONS

Among higher risk individuals undergoing angiographic procedures, different biomarkers improve risk stratification in different UDHF stages of HF. More precise prognostication may offer a window of opportunity to initiate targeted preventive measures.

Relation of High-Sensitivity Cardiac Troponin I and Obstructive Coronary Artery Disease in Patients Without Acute Myocardial Infarction

The relation of high-sensitivity cardiac troponin I (hs-cTnI) concentration and presence of obstructive coronary artery disease (CAD) in patients without myocardial infarction (MI) is unclear. Study participants selected from patients free of MI who underwent coronary angiography with or without intervention were enrolled, and hs-cTnI measured. A gradient boosting model was implemented to build a model for detection of CAD. Cox proportional hazard regression was used to assess the association of hs-cTnI and adverse cardiovascular (CV) outcome. Among 978 study participants, 607 patients (62%) had CAD. Higher concentrations of hs-cTnI were associated with chronic kidney disease, heart failure, CAD, male gender, current tobacco use, anemia, age, and low-density lipoprotein cholesterol. History of CAD, male gender, type 2 diabetes mellitus, hs-cTnI, anemia, age, and high-density lipoprotein cholesterol were the most influential factors for detection of CAD. The gradient boosting model had an area under the curve of 0.82, accuracy of 75%, sensitivity of 88%, specificity of 52%, positive predictive value of 76%, and negative predictive value of 72% for detection of CAD. Increase in 1 log unit of hs-cTnI was significantly associated with increased risk of incident MI (hazard ratio [HR] 1.34, 95% confidence interval [CI] 1.22 to 1.47, p <0.001), CV mortality (HR 1. 24, 95% CI 1.11 to 1.39, p <0.001), and composite of incident MI or CV mortality (HR 1.29, 95% CI 1.20 to 1.40, p <0.001). In conclusion, among patients without acute MI and CAD, higher concentrations of hs-cTnI were associated with the presence of CAD and linked to increased risk of future CV events. ClinicalTrials.gov Identifier: NCT00842868.

A Biomarker‐Enhanced Model for Prediction of Acute Kidney Injury and Cardiovascular Risk Following Angiographic Procedures: CASABLANCA AKI Prediction Substudy

Background

The 2020 Acute Disease Quality Initiative Consensus provided recommendations on novel acute kidney injury biomarkers. In this study, we sought to assess the added value of novel kidney biomarkers to a clinical score in the CASABLANCA (Catheter Sampled Blood Archive in Cardiovascular Diseases) study.

Methods and Results

We evaluated individuals undergoing coronary and/or peripheral angiography and added 4 candidate biomarkers for acute kidney injury (kidney injury molecule‐1, interleukin‐18, osteopontin, and cystatin C) to a previously described contrast‐associated acute kidney injury (CA‐AKI) risk score. Participants were categorized into integer score groups based on the risk assigned by the biomarker‐enhanced CA‐AKI model. Risk for incident cardiorenal outcomes during a median 3.7 years of follow‐up was assessed. Of 1114 participants studied, 55 (4.94%) developed CA‐AKI. In adjusted models, neither kidney injury molecule‐1 nor interleukin‐18 improved discrimination for CA‐AKI; addition of osteopontin and cystatin C to the CA‐AKI clinical model significantly increased the c‐statistic from 0.69 to 0.73 (P for change <0.001) and resulted in a Net Reclassification Index of 59.4. Considering those with the lowest CA‐AKI integer score as a reference, the intermediate, high‐risk, and very‐high‐risk groups were associated with adverse cardiorenal outcomes. The corresponding hazard ratios of the very‐high‐risk group were 3.39 (95% CI, 2.14–5.38) for nonprocedural acute kidney injury, 5.58 (95% CI, 3.23–9.63) for incident chronic kidney disease, 6.21 (95% CI, 3.67–10.47) for myocardial infarction, and 8.94 (95% CI, 4.83–16.53) for all‐cause mortality.

Conclusions

A biomarker‐enhanced risk model significantly improves the prediction of CA‐AKI beyond clinical variables alone and may stratify the risk of future cardiorenal outcomes.

Registration

URL: https://www.clinicaltrials.gov; Unique identifier: NCT00842868.

Cardiovascular benefit of SGLT2 inhibitors

Patients with type 2 diabetes mellitus (T2D) are at increased risk of cardiovascular (CV) disease. Sodium glucose cotransporter 2 (SGLT2) inhibitors, also known as gliflozins, are a class of medications used to treat T2D by preventing the reabsorption of glucose filtered through the kidney and thereby facilitating glucose excretion in the urine. Over the past 5 years, many cardiovascular outcome trials (CVOTs) have evaluated the safety and efficacy of SGLT2 inhibitors in preventing CV events. The results of 7 CVOTs have provided solid evidence that the use of SGLT2 in patients with T2D and at high CV risk significantly reduced the risk of death from CV causes. Moreover, in patient with heart failure with reduced ejection fraction, regardless of the presence or absence of T2D, SGLT2 inhibitors use significantly reduced the risk of worsening heart failure and death from CV causes. Although the exact mechanism of the cardiorenal benefit of SGLT2 inhibitors is still unknown, studies have shown that the beneficial effect of these drugs cannot be exclusively explained by their glucose lowering effect, and several possible mechanisms have been proposed. This review will explore the changing role of SGLT2 inhibitors from a diabetes drug to clinical practice guideline-supported therapy for the prevention and treatment of CV diseases, including heart failure.

Time Delay, Infarct Size, and Microvascular Obstruction After Primary Percutaneous Coronary Intervention for ST-Segment-Elevation Myocardial Infarction

BACKGROUND

Symptom-to-balloon time (SBT) and door-to-balloon time (DBT) are both considered important metrics in patients undergoing primary percutaneous coronary intervention (pPCI) for ST-segment-elevation myocardial infarction (STEMI). We sought to assess the relationship of SBT and DBT with infarct size and microvascular obstruction (MVO) after pPCI.

METHODS

Individual patient data for 3115 ST-segment-elevation myocardial infarction patients undergoing pPCI in 10 randomized trials were pooled. Infarct size (% left ventricular mass) was assessed within 1 month after randomization by technetium-99 m sestamibi single-photon emission computerized tomography (3 studies) or cardiac magnetic resonance imaging (7 studies). MVO was assessed by cardiac magnetic resonance. Patients were stratified by short (≤2 hours), intermediate (2-4 hours), or long (>4 hours) SBTs, and by short (≤45 minutes), intermediate (45-90 minutes), or long (>90 minutes) DBTs.

RESULTS

Median [interquartile range] SBT and DBT were 185 [130-269] and 46 [28-83] minutes, respectively. Median [interquartile range] time to infarct size assessment after pPCI was 5 [3-12] days. There was a stepwise increase in infarct size according to SBT category (adjusted difference, 2.0% [95% CI, 0.4-3.5] for intermediate versus short SBT and 4.4% [95% CI, 2.7-6.1] for long versus short SBT) but not according to DBT category (adjusted difference, 0.4% [95% CI, -1.2 to 1.9] for intermediate versus short DBT and -0.1% [95% CI, -1.0 to 3.0] for long versus short SBT). MVO was greater in patients with long versus short SBT (adjusted difference, 0.9% [95% CI, 0.3-1.4]) but was not different between patients with intermediate versus short SBT (adjusted difference, 0.1 [95% CI, -0.4 to 0.6]). There was no difference in MVO according to DBT. Results were similar in multivariable analysis with SBT and DBT included as continuous variables.

CONCLUSIONS

Among 3115 patients with ST-segment-elevation myocardial infarction undergoing infarct size assessment after pPCI, SBT was more strongly correlated with infarct size and MVO than DBT.

Corrigendum to "Traditional and Modern Cell Culture in Virus Diagnosis"[Osong Public Health Res Perspect 2016;7(2):77-82]

[This corrects the article on p. 77 in vol. 7, PMID: 27169004.].

Failure of cosegregation between a rare STAP1 missense variant and hypercholesterolemia

Autosomal dominant familial hypercholesterolemia (FH) is characterized by elevated low-density lipoprotein cholesterol levels and an increased risk for atherosclerotic cardiovascular disease. Although rare pathogenic variants in genes encoding the low-density lipoprotein receptor, apolipoprotein B, proprotein convertase subtilisin/kexin 9 are found in more than 80% of molecularly defined patients with FH, a few rare minor causative genes have been proposed, including the gene encoding signal-transducing adaptor family member 1 (STAP1). Here, we describe a patient with hypercholesterolemia and the rare heterozygous missense variant p.D207N in STAP1. However, extending the pedigree showed failure of the variant to cosegregate with hypercholesterolemia, as both his sons were carriers of the variant and both were also normolipidemic. The findings add to the evidence against STAP1 as a genetic locus for FH.

Statins in the perioperative period

In this review, we discuss clinical evidence-based data regarding the potential benefit of statin therapy in the perioperative period of non-cardiac surgery. Results from meta-analyses of prospective observational studies have provided conflicting evidence. Moreover, comparison among studies is complicated by varying data sources, outcome definitions, types of surgery, and preoperative versus perioperative statin therapy. However, results of two recent large prospective cohort studies showed that statin use on the day of or the day after non-cardiac surgery (or both) is associated with lower 30-day all-cause mortality and reduction in a variety of postoperative complications, predominantly cardiac, compared with non-use during this period. There is a paucity of data from randomized controlled trials assessing the benefit of statin therapy in non-cardiac surgery. No randomized controlled trials have shown that initiating a statin in statin-naïve patients may reduce the risk of cardiovascular complications in non-cardiac surgeries. One randomized clinical trial demonstrated that the use of a preoperative statin in patients with stable coronary heart disease treated with long-term statin therapy had a significant reduction in the incidence of myocardial necrosis and major adverse cardiovascular events after non-cardiac surgery. In conclusion, it is important that all health-care professionals involved in the care of the surgical patient emphasize the need to resume statin therapy, particularly in patients with established atherosclerotic cardiovascular disease. However, initiating a statin in statin-naïve patients undergoing non-cardiac surgery needs more evidence-based data.

What about Urinary Tract Infections and its Antibiotic Resistance Bacteria in Ilam, Iran?

BACKGROUND

Because of the unknown situation of antibiotic resistance pattern in the main hospital in Ilam, Iran, we aimed to evaluate the antibiotic resistance pattern of uropathogenic bacteria obtained from referred patients to Imam Khomaini Hospital, Ilam, Iran. So, 114 bacteria were collected during 9-month period and evaluated for their antibiotic resistance patterns.

RESULTS

Our results demonstrated that Escherichia coli as the dominant responsible for urinary tract infection. Our results demonstrated that 61.4 % (n = 70) of isolates were positive for E.coli, while lowest prevalence was observed for Staphylococcus aureus and Acinetobacter baumannii. The results also showed that 6.4% (n = 7) were metallo beta lactamase (MBL) producers. Our findings showed only 4 gram positive bacteria were obtained from patients with urinary tract infections including one methicillin resistant S. aureus (MRSA) and 2 vancomycin resistant Enterococcus faecalis (VRE).

CONCLUSION

In conclusion, we strongly recommended to perform a perfect study among all hospitals in Iran to evaluate the situation of antibiotic resistance and make a real panel to control this issue.

In vivo Antibacterial and Wound Healing Activities of Roman Chamomile (Chamaemelum nobile)

BACKGROUND

Today considerable number of drugs are produced from plants. Several plants with antibacterial and healing applications are used in medicine such as Roman chamomile (Chamaemelum nobile L.). Wound infection is one of the most prevalent infections among infectious diseases around the world. Due to appearance of drug resistance, researchers are now paying attention to medicinal plants. Therefore, this study was designed to investigate the antimicrobial and wound healing properties of C. nobile against Pseudomonas aeruginosa using in vivo conditions.

METHODS

Ethanolic extract of C. nobile was provided using standard method. The 5% C. nobile ointment was prepared by dissolving lyophilized extract in eucerin. Forty five male rats were obtained from Ilam university. After anesthetization and wound creation, wounds were infected by P. aeruginosa. The rats were divided into three groups, group I was treated with C. nobile ointment, group II was treated with tetracycline ointment and the third group was treated with base gel as control group.

RESULTS

Antibacterial and wound healing activities of C. nobile ointment were more than tetracycline ointment significantly. Our results indicated that extract of C. nobile had effective antibacterial activity and accelerated the progression of wound healing.

CONCLUSION

Our study indicated that antibacterial and wound healing activities of C. nobile ointment were notable. C. nobile therapy in combination with antibiotics can also be useful because medicinal plants contents operate in synergy with antibiotics. These results revealed the value of plant extracts to control antibiotic resistant bacteria in wound infections.

Enterococcus faecalis as multidrug resistance strains in clinical isolates in Imam Reza Hospital in Kermanshah, Iran

The current study aimed to investigate the prevalence of vancomycin-resistant Enterococcus in E. faecalis and E. faecium and antimicrobial susceptibility patterns, then dominant genes responsible for vancomycin resistance were determined. For this propose, 180 clinical isolates of Enterococcus were subjected for identification and antibiotic susceptibility assay. Then, the gene responsible vancomycin resistant strains were determined. The results demonstrated the E. faecalis as a dominant Enterococcus. Resistance to erythromycin was dominant and multidrug resistance strains observed in E. faecalis. vanA was responsible for vancomycin resistance. In conclusion, a high rate of resistance to antibiotics in Enterococcus is clearly problematic, and a novel strategy is needed to decrease resistance in Enterococcus.

Traditional and Modern Cell Culture in Virus Diagnosis

Cell cultures are developed from tissue samples and then disaggregated by mechanical, chemical, and enzymatic methods to extract cells suitable for isolation of viruses. With the recent advances in technology, cell culture is considered a gold standard for virus isolation. This paper reviews the evolution of cell culture methods and demonstrates why cell culture is a preferred method for identification of viruses. In addition, the advantages and disadvantages of both traditional and modern cell culture methods for diagnosis of each type of virus are discussed. Detection of viruses by the novel cell culture methods is considered more accurate and sensitive. However, there is a need to include some more accurate methods such as molecular methods in cell culture for precise identification of viruses.