Canova, Tyler

Background There is limited evidence on the epidemiology and prognostic significance of acid-base disorders in the cardiovascular intensive care unit (CICU). This study examines the association of acid-base status at admission with in-hospital mortality among CICU patients. Methods We conducted a retrospective analysis of adults admitted to the Mayo Clinic CICU from 2007-2018 with available blood gas data, utilizing values obtained closest to CICU admission. Arterial pH, serum bicarbonate, base excess, and partial pressure of carbon dioxide (PaCO 2 ) were examined as predictors of in-hospital mortality. Multivariable logistic regression was used to assess associations, with adjustment for demographics, comorbidities, illness severity, and interventions. Results Among 3229 patients included for analysis, acidemia (pH < 7.35) emerged as the strongest predictor of in-hospital mortality (adjusted odds ratio [aOR] 1.60, 95% confidence interval [CI] 1.29-1.98, P < .003). Metabolic acidosis (HCO3 < 20 mEq/L, aOR 1.55, 95% CI 1.24-1.95, P < .001) and respiratory acidosis (PaCO2 > 45 mm Hg, aOR 1.44, 95% CI 1.14-1.81, P = .002) were associated with higher in-hospital mortality, whereas metabolic and respiratory alkalosis were not. After adjustment, lower pH and more negative base excess were associated with higher in-hospital mortality (both P < .001), whereas HCO3 and PaCO2 were not ( P = .053 and P = .051, respectively). Patients with combined metabolic and respiratory acidosis had the highest in-hospital mortality (56.3%). Conclusions Short-term survival in CICU patients decreases progressively with worse acidemia, especially in the context of combined metabolic and respiratory acidosis. Incorporating metabolic acid-base disorders as key therapeutic targets in randomized cardiogenic shock trials may improve outcomes in this complex population by addressing hemometabolic shock.

Purpose of review Cardiac amyloidosis is an infiltrative cardiomyopathy with characteristic echocardiographic findings. Echocardiography is the initial imaging test to identify restrictive cardiomyopathies, and timely diagnosis is important for treatment and prognosis. This review outlines key echocardiographic “red flags,” structural and functional findings, and emerging diagnostic tools that enhance early recognition and monitoring of cardiac amyloidosis. Recent findings Classic echocardiographic red flags for cardiac amyloidosis include increased ventricular wall thickness, biatrial enlargement, pericardial effusion, and a granular myocardial appearance. Tissue Doppler imaging shows reduced mitral annular velocities, while advanced disease presents with restrictive filling patterns. Global longitudinal strain with apical sparing is a hallmark finding that distinguishes cardiac amyloidosis from other cardiomyopathies. Left atrial strain has been proposed as a prognostic marker for thromboembolism in cardiac amyloidosis. Evidence shows variability in strain measurements across different vendors, which is an important consideration when comparing results between institutions in both research and clinical practice. Echocardiography can be used in conjunction with multimodal imaging techniques in order to monitor disease progression. Summary Echocardiography is the initial diagnostic test of choice and several findings can suggest cardiac amyloidosis. Advances in echocardiographic techniques have enabled earlier detection of cardiac involvement and now play a central role in both diagnosis and ongoing treatment monitoring.

Background: Little is known about the epidemiology and prognostic significance of acid-base disturbances in the cardiovascular intensive care unit (CICU). This study examines the association of acid-base status at admission with in-hospital mortality among CICU patients. Methods: We conducted a retrospective analysis of adults admitted to the Mayo Clinic CICU from 2007-2018 who had available blood gas data, utilizing laboratory values obtained closest to the time of CICU admission. Arterial pH, serum bicarbonate, base excess, and partial pressure of carbon dioxide (PaCO 2 ) were examined as predictors of in-hospital mortality. Logistic regression models were used to assess associations, with adjustment for demographics, comorbidities, illness severity, and interventions. A composite acidosis score (CAS, range 0–5), incorporating predefined cut-offs for arterial pH, base excess, and anion gap was calculated to quantify acid-base disturbance severity. Results: A total of 3,229 patients were included for analysis. Of all acid-base variables, acidemia (pH<7.35) emerged as the strongest predictor of in-hospital mortality (adjusted odds ratio [aOR] 1.60, 95% confidence interval [CI] 1.29-1.98, p <0.003). Metabolic acidosis (HCO 3 <20 mEq/L) aOR 1.55, 95% CI 1.24-1.95, p <0.001) and respiratory acidosis (PaCO 2 >45 mmHg, aOR 1.44, 95% CI 1.14-1.81, p =0.002) were associated with worse adjusted in-hospital mortality, whereas alkalemia, metabolic alkalosis, and respiratory alkalosis were not (Fig. 1A-C). After adjustment, lower pH and more negative base excess were associated with higher in-hospital mortality (both p <0.001), whereas HCO 3 and PaCO 2 were not ( p =0.053&p=0.051, respectively; Fig. 2). Patients with combined metabolic and respiratory acidosis had the highest in-hospital mortality (56.3%), followed by patients with isolated or compensated metabolic acidosis (Fig.1D). Patients with severe acidosis (CAS>1) had higher mortality (aOR 2.34, 95% CI 1.88–2.90; p<0.001, Fig. 3AB). In-hospital mortality rose with increasing CAS (aOR 1.36 per point higher, 95% CI 1.26–1.47; p<0.001), with consistent effects across admission diagnoses (Fig. 3C). Conclusions: Acidemia, especially in the context of combined metabolic and respiratory acidosis, strongly predicts in-hospital mortality in the CICU. Incorporating combined acid-base disorders into risk stratification scores may facilitate earlier recognition and prevent progression of hemometabolic shock, thereby improving prognosis.

This retrospective propensity-matched cohort study assessed the association between sodium-glucose co-transporter-2 inhibitor (SGLT2i) use and cardiovascular outcomes in patients with acute myocardial infarction (AMI) without a history of heart failure. Using the TriNetX U.S. Collaborative Network, we identified 1440 matched patients (720 SGLT2i+ vs 720 SGLT2i−) with preserved ejection fraction and no prior heart failure. Nearly 90% of patients had diabetes. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of MI, stroke, heart failure, and all-cause mortality. At 1 year, MACE occurred in 17.4% of SGLT2i+ versus 22.0% of SGLT2i− patients (odds ratio [OR] 0.746, 95% CI 0.574-0.969; P = .028), and all-cause mortality occurred in 3.1% versus 7.6%, respectively (OR 0.389, 95% CI 0.234-0.645; P < .001). SGLT2i use was also associated with lower risks of major bleeding. Findings were consistent over long-term follow-up. While the observed associations suggest potential cardioprotective effects of SGLT2i post-MI in patients without heart failure, residual confounding cannot be excluded. The observed reduction in bleeding events is novel and warrants further investigation in prospective studies.

Sodium-glucose co-transporter-2 inhibitors (SGLT2i) have demonstrated benefits in heart failure with preserved ejection fraction (HFpEF), but their impact following acute myocardial infarction (AMI) is less well understood. Using the TriNetX Research Network (TriNetX) multi-center registry (2014–2022), we identified patients with heart failure with preserved ejection fraction (HFpEF)—defined as left ventricular ejection fraction (LVEF) >50% and New York Heart Association (NYHA) class II–IV—not previously treated with sodium-glucose co-transporter 2 inhibitors (SGLT2i) who experienced an acute myocardial infarction (AMI). Patients who initiated SGLT2i within 1-year post-AMI were compared with those who did not. Propensity score matching was used to balance cohorts ( n = 20,423 each; mean age 68.3 ± 11.0 years; 54.5% female) for demographics, comorbidities, and treatment variables. The primary outcome was a composite of major adverse cardiovascular events (MACE), including all-cause mortality, recurrent AMI, acute heart failure, and stroke. Secondary outcomes included cardiac arrest and major bleeding. SGLT2i use was associated with lower rates of MACE (3.7% vs 6.1%; P = .0005), all-cause mortality (0.9% vs 5.6%; P < .0001), and other adverse events at both 30 days and 1 year. In this large, propensity-matched cohort, SGLT2i use post-AMI in HFpEF patients was associated with favorable cardiovascular outcomes. Further studies are needed to confirm these associations.