Background: Although heart failure is the most prevalent cardiovascular disease associated with adverse outcome in chronic kidney disease (CKD) and after kidney transplantation, left ventricular (LV) systolic function is often preserved in renal patients. The aim of this study was to evaluate global longitudinal strain (GLS), which is reportedly a more accurate tool for detecting subclinical LV systolic dysfunction, in patients with various degrees of renal function impairment, including kidney transplant recipients (KTRs). Methods: This prospective study evaluated demographic, clinical, and ultrasound data, including the assessment of LV GLS and mitral E peak velocity and averaged ratio of mitral to myocardial early velocities (E/e’), of 70 consecutive renal patients (20 with stage 2–4 CKD, 25 with end-stage renal disease on hemodialysis [HD], and 25 KTRs). All patients had an LV ejection fraction ≥50% and no history of heart failure or coronary artery disease. We used multivariable logistic analysis to assess the risk of compromised GLS. One hundred and twenty control subjects with or without hypertension served as controls. Results: A compromised GLS <–18% was shown in 55% of patients with stage 2–4 CKD, 60% of HD patients, and 28% of KTRs, while it was 32% in hypertensive controls and 12% in non-hypertensive controls (p < 0.0001). Patients with HD had higher systolic pressure and a significantly greater prevalence of increased LV mass and diastolic dysfunction. In renal patients, E/e’ (p = 0.025), and LV mass index (p = 0.063) were independent predictors of compromised GLS at logistic regression analysis. E/e’, systolic artery pressure, and LV mass also exhibited the greatest areas under the curve on receiver operating characteristic analysis to identify a compromised GLS. Conclusions: Renal disease proved to be associated with early and subclinical impairment of LV systolic function, which persists after starting dialysis and even in spite of successful kidney transplantation. An increased E/e’ resulted to be the most powerful independent predictor of abnormal GLS.