![]() ![]() For liquid samples 10 0–10 5 dilutions, and for colloidal suspensions and solid samples (10% w/v), 10 1–10 6 dilutions were used. For pure cultures, serial dilutions were prepared from 0.1 OD (10 0) stock and 20 μl aliquots of six dilutions (10 1–10 6) were applied as 10–15 micro-drops in six sectors over agar-gelled medium in 9-cm plates. For survival analysis limited to group 2 (non-CA), GLS GE and GLS VVI both predicted all-cause mortality (GLS GE HR: 1.23 95% CI: 1.03 to 1.47 GLS VVI HR: 1.22 95% CI: 1.01 to 1.49, respectively).We propose a simple technique for bacterial and yeast cfu estimations from diverse samples with no prior idea of viable counts, designated as single plate-serial dilution spotting (SP-SDS) with the prime recommendation of sample anchoring (10 0 stocks). Using a nested logistic regression model, GLS GE (p = 0.03) and GLS VVI (p = 0.05) provided incremental prognostic value over cTnT, NT-proBNP, and FLC-diff. In a multivariate Cox model, GLS GE ≥−14.81 (hazard ratio : 2.68 95% confidence interval : 1.07 to 7.13 p = 0.03), FLC-diff, NT-proBNP, and age were independent predictors of survival. For the entire cohort, GLS GE ≥ −14.81, GLS VVI ≥−15.02, cTnT, NT-proBNP, FLC-diff, age, left ventricular wall thickness, early diastolic tissue Doppler velocity at septal mitral annulus, diastolic dysfunction grade, glomerular filtration rate, deceleration time, and left atrial volume were univariate predictors of death. Group 1 had thicker walls, lower early diastolic tissue Doppler velocity at septal mitral annulus, and greater left ventricular mass, left atrial volume, glomerular filtration rate, FLC-diff, cTnT, and NT-proBNP (p < 0.001). Thirty-two deaths (51%) occurred in group 1 and 13 (15%) in group 2 (p ≤ 0.001). ![]()
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