Dynamic Pulmonary Vein Stenosis After Left Pneumonectomy

Pulmonary vein stenosis might be caused by mediastinal migration into the vacated pleural space after pneumonectomy. In a patient complaining of worsening dyspnea in the left lateral decubitus position after left pneumonectomy, transthoracic echocardiography during different postures revealed pulmonary vein stenosis that worsened in the left lateral position

Cystatin C in risk prediction after transcatheter aortic valve replacement: a retrospective analysis

Abstract Aims No study has evaluated the prognostic value of the chronic kidney disease (CKD) classification by cystatin C‐based estimated glomerular filtration rate (eGFR) (CKDCys classification) in patients undergoing transcatheter aortic valve replacement (TAVR). This study aimed to compare the prognostic value of CKDCys classification and CKD classification by creatinine‐based eGFR (CKDCr classification) in risk prediction after TAVR. Methods and results We retrospectively analysed consecutive 219 patients with symptomatic severe aortic stenosis who underwent TAVR at our institute between December 2016 and June 2019. Pre‐operative CKDCr and CKDCys classifications were evaluated for their prognostic value of 2‐year major adverse cardiovascular and cerebrovascular events (MACCE) after TAVR. MACCE was defined as the composite of all‐cause mortality, non‐fatal myocardial infarction, stroke, and rehospitalization for worsening congestive heart failure. Participants had a median age of 86.0 years and were predominantly female (76.9%). In 96.6% of the cases, TAVR was performed using transfemoral access. The median creatinine‐based eGFR (52.85 mL/min/1.73 m2) was higher than the cystatin C‐based eGFR (41.50 mL/min/1.73 m2). Downward reclassification in CKD stages based on eGFRCys was observed in 49.0% of patients. During a median follow‐up period of 575.5 (interquartile range: 367.0–730.0) days, 58 patients presented with MACCE. CKDCys classification, but not CKDCr classification, significantly stratified the risk of 2‐year MACCE in patients after TAVR by log‐rank test (P = 0.003). In multivariate Cox regression analysis, only CKDCys stage 3b [hazard ratio (HR) = 4.37; 95% confidence interval (CI): 1.28–14.91; P = 0.019] and CKDCys stage 4 + 5 (HR = 3.72; 95% CI: 1.06–12.99; P = 0.040) were significant predictors of MACCE after adjustment for potential confounders. Conclusions The CKDCys classification could better assess the risk than the CKDCr classification in patients undergoing TAVR. CKDCys stage 3b and stage 4 + 5 correlated with adverse outcomes

A Simple Risk Stratification Model for ST-Elevation Myocardial Infarction (STEMI) from the Combination of Blood Examination Variables: Acute Myocardial Infarction-Kyoto Multi-Center Risk Study Group

<div><p>Background</p><p>Many mortality risk scoring tools exist among patients with ST-elevation Myocardial Infarction (STEMI). A risk stratification model that evaluates STEMI prognosis more simply and rapidly is preferred in clinical practice.</p><p>Methods and Findings</p><p>We developed a simple stratification model for blood examination by using the STEMI data of AMI-Kyoto registry in the derivation set (n = 1,060) and assessed its utility for mortality prediction in the validation set (n = 521). We selected five variables that significantly worsen in-hospital mortality: white blood cell count, hemoglobin, C-reactive protein, creatinine, and blood sugar levels at >10,000/μL, <10 g/dL, >1.0 mg/dL, >1.0 mg/dL, and >200 mg/dL, respectively. In the derivation set, each of the five variables significantly worsened in-hospital mortality (p < 0.01). We developed the risk stratification model by combining laboratory variables that were scored based on each beta coefficient obtained using multivariate analysis and divided three laboratory groups. We also found a significant trend in the in-hospital mortality rate for three laboratory groups. Therefore, we assessed the utility of this model in the validation set. The prognostic discriminatory capacity of our laboratory stratification model was comparable to that of the full multivariable model (c-statistic: derivation set vs validation set, 0.81 vs 0.74). In addition, we divided all cases (n = 1,581) into three thrombolysis in myocardial infarction (TIMI) risk index groups based on an In TIME II substudy; the cases were further subdivided based on this laboratory model. The high laboratory group had significantly high in-hospital mortality rate in each TIMI risk index group (trend of in-hospital mortality; p < 0.01).</p><p>Conclusions</p><p>This laboratory stratification model can predict in-hospital mortality of STEMI simply and rapidly and might be useful for predicting in-hospital mortality of STEMI by further subdividing the TIMI risk index.</p></div

Lesion characteristics.

<p>Lesion characteristics.</p

Risk of in-hospital mortality for laboratory risk groups.

<p>(a) Risk of in-hospital mortality in the derivation set. (b) Risk of in-hospital mortality in the validation set. Low-, moderate-, and high-risk groups have laboratory points from 0 to 2, 3 to 5, and 6 to 8, respectively.</p

Baseline characteristics.

<p>Baseline characteristics.</p