We report the fiftieth case in the literature of Pasteurella species peritoneal dialysis (PD)-related peritonitis and the third reported case of Pasteurella multocida bacteremia associated with PD-related peritonitis. Our review provides the most up-to-date collection of all fifty reported cases of PD-related peritonitis caused by Pasteurella species. A 77-year-old Caucasian male with a past medical history significant for new-onset left-ventricular systolic heart failure, severe mitral valve regurgitation, and end-stage renal disease on PD for six months presented to the emergency department with a one-week cloudy peritoneal effluent and intermittent abdominal pain. Pasteurella multocida was isolated from blood cultures and peritoneal fluid cultures. The patient was treated with intravenous piperacillin-tazobactam and intraperitoneal cefepime. The PD catheter was not removed or exchanged. A repeat blood culture on the third hospital day was negative. His hospital course was complicated by cardiogenic shock, atrial fibrillation, and gastrointestinal bleeding, and his goals of care changed to focus on comfort measures. This case report and literature review provide a resource for healthcare providers who may encounter this infection in the future. This case also serves as a reminder of the challenges of PD in patients at risk of acquired zoonotic infections from their pets. Based on the reviewed three cases of Pasteurella multocida bacteremia associated with PD-related peritonitis, blood cultures may be a prudent option for patients presenting with peritoneal dialysis associated peritonitis to ensure that concurrent bacteremia is not overlooked.

Previous studies have shown standard deviation (SD) of daytime ambulatory systolic BP (DaySBP) as a screening tool for detecting autonomic failure. While ambulatory arterial stiffness index (AASI) has shown to be a predictor of cardiovascular morbidity and mortality, the usefulness of AASI in detecting the presence of autonomic failure has not been investigated. We assessed AASI in 336 hypertensive and normotensive adults with and without autonomic failure (ATF). Area under receiver operator characteristic curve (AUROC) was calculated to determine accuracy of AASI in detecting ATF. Bayes factor (BF) was used to assess the significance of the difference between AUROC of AASI compared to SD daytime SBP and AASI combined with SD daytime SBP compared to SD daytime SBP alone. Sensitivity and specificity of AASI in detecting autonomic failure was derived using cut-off points from Youden’s Index. Prevalence of ATF in our cohort was 14 % (47/336). The prevalence of HTN was 55 % (184/336). The mean age of the ATF group was higher than the control group (71 ± 11 vs. 61 ± 14 years, respectively, p < 0.05). The mean AASI of ATF patients was higher than control group (0.58 ± 0.11 vs. 0.51 ± 0.15, respectively, p < 0.05). The AUROC of AASI in ATF detection was not significantly higher than SD daytime SBP (BF =0.12). Sensitivity and specificity of AASI was 87 % and 43 %, respectively. The optimal cutoff for AASI selected by Youden’s index was 0.48. The addition of AASI to SD daytime SBP significantly improved ATF detection compared to AASI alone (BF > 3, Fig 1). In conclusion, AASI in combination with SD DaySBP significantly outperformed AASI alone in detecting autonomic failure in patients with or without HTN.

Clinical guidelines recommend office blood pressures (BP) to be taken in a seated position. However, the accuracy of standing BP measurements for diagnosing hypertension (HTN) has not been investigated. We assessed BP in both seated and standing positions in 125 healthy adults not on anti-HTN medications. HTN was defined by 24-hour ambulatory SBP/DBP of ≥ 125/75 mmHg. Area under receiver operator characteristic curve (AUROC) was calculated to determine accuracy of seated and standing BP in diagnosing HTN. Bayes factor (BF) was used to assess the significance of the difference between AUROC of seated and standing BP. Sensitivity and specificity of standing BP in diagnosing HTN was derived using cut-off points derived from Youden’s Index. Our cohort’s mean age was 49 ± 17 years, with 62% female (77 of 125), and 24% Black (30 of 125). Prevalence of HTN was 33.6% (42 of 125). Sensitivity and specificity of seated SBP was 43% and 92%, respectively. Optimal cutoffs selected by Youden’s index for standing SBP/DBP was 124/81 mmHg. Sensitivity and specificity of standing SBP was 74% and 65%, respectively. The AUROC of standing SBP was significantly higher than seated SBP (BF =11.8), when HTN was defined as 24-Hr SBP ≥ 125 mmHg (Fig 1). Similarly, when HTN was defined as 24-Hr DBP ≥ 75 mmHg or daytime DBP ≥ 80 mmHg, the AUROC of standing DBP was higher than seated DBP (all BF >3). The addition of standing to seated BP improved HTN detection than seated BP alone based on 24-Hr SBP/DBP ≥ 125/75 mmHg or daytime SBP/DBP ≥ 130/80 mmHg (all BF >3). In conclusion, standing office BPs both alone and in combination with seated BPs, outperformed seated BPs in diagnosing hypertension in untreated adults.

Current guidelines recommend blood pressure (BP) target based on office BP taken in a seated position for hypertensive patients. However, the accuracy of standing BP measurements for determining blood pressure control in patients with autonomic (ATF) is unknown.We measured BP in seated and standing positions in 47 hypertensive and normotensive adults with ATF. Office BP was measured in the seated position 3 times and after standing for 3 minutes. Adequate BP control was defined by 24-hour ambulatory SBP/DBP of < 125/75 mmHg. Area under receiver operator characteristic curve (AUROC) was calculated to determine accuracy of seated and standing BP in assessing BP control. Bayes factor (BF) was used to assess the significance of the difference between AUROC of seated and standing BP. Sensitivity and specificity of standing BP in determining blood pressure control was derived using cut-off points derived from Youden’s Index.Prevalence of HTN was 72% (34/47) and the mean age was 71 ± 11 years. Sensitivity and specificity of seated SBP was 65% and 73%, respectively. Optimal cutoffs selected by Youden’s index for standing SBP/DBP was 104/83 mmHg. Sensitivity and specificity of standing SBP was 96% and 64%, respectively. The AUROC of standing SBP was significantly higher when compared to seated SBP alone, when controlled SBP was defined as 24-Hr SBP < 125 mmHg (BF > 3). Similarly, when controlled SBP was defined as daytime SBP < 130 mmHg, the AUROC of 3 rd standing was significantly higher when compared to seated SBP alone or in combination (BF > 3).In conclusion, standing SBP is more useful than seated SBP in assessing BP control in patients with ATF.

High‐density lipoprotein cholesterol (HDL‐C) is well known to play an important anti‐atherogenic role via reverse cholesterol transport. Increasing number of studies in mice have also suggested a protective role of HDL in preserving muscle mitochondrial function via ApoA1‐induced enhancement of cellular respiration of glucose. However, data in humans are lacking. We therefore hypothesize that HDL levels and/or function are correlated with muscle mitochondrial function in humans. Accordingly, we conducted a cross‐sectional study to determine the relationship between levels and function of HDL and skeletal muscle mitochondrial function in 31 healthy adults without diabetes mellitus or cardiovascular disease. To estimate muscle mitochondrial function, we measured the oxygen recovery time constant (Tau) during supra‐systolic cuff‐occlusions following 2 minutes of rhythmic handgrip exercise at 30% maximal voluntary contraction in the forearm muscle, using near infrared spectroscopy (NIRS). To assess cholesterol efflux capacity (CEC), we used J774 macrophages, radiolabeled cholesterol, and ApoB‐depleted plasma to calculate cholesterol efflux normalized to a pooled sample. Of the 31 subjects, 13 (42%) were female, mean age was 40 +/‐ 16, mean BMI was 23.9 +/‐ 3.4 kg/m^2, and the mean total serum cholesterol was 198.4 +/‐ 43.1 mg/dL. We found a significant inverse correlation between HDL‐C levels and Tau, with a correlation coefficient (r) of ‐0.51 (p < 0.01, Figure. 1a). As expected, a positive correlation is observed between BMI and Tau (r= 0.50, p < 0.01, Figure 1c). In contrast, no significant correlation between fasting triglyceride, plasma glucose, insulin levels or HDL efflux function with Tau were found (all p‐values > 0.05). In conclusion, our study identifies a novel association between circulating HDL levels with muscle mitochondrial function. However, the CEC of our sample was not significantly correlated with Tau, therefore future investigations with larger studies or more measures of HDL function and composition may elucidate these findings. The association of HDL‐C and muscle mitochondrial function may explain increased prevalence of physical inactivity among populations with low HDL‐C, such as those with metabolic syndrome. Additionally, future studies are needed to determine if strategies to improve HDL‐C levels will result in improved muscle mitochondrial function and exercise capacity.