Citations

Abstract Rationale Respiratory failure represents a major risk for morbidity and mortality. Although generally managed in the intensive care unit (ICU), respiratory failure often begins elsewhere. Checklists of care processes to minimize the duration of mechanical ventilation and adverse events are routinely used in the ICU, but are uncommonly used outside the ICU. Objectives To develop consensus among a multidisciplinary expert panel on care practices to include in a checklist of best practices for critically ill patients with respiratory failure before and after ICU admission. Methods A multidisciplinary expert panel was assembled. The panel was tasked with creating a checklist of care processes aimed at decreasing progression to respiratory failure, duration of mechanical ventilation, mortality in mechanical ventilation, and adverse events. Over the course of multiple teleconferences and e-mail communications, the Prevention of Organ Failure Checklist list was reviewed, refined, and voted upon. Items that received greater than 75% of the vote were included in the final checklist. Measurements and Main Results: Using a modified Delphi process, the expert panel was able to compile Prevention of Organ Failure Checklist into 20 items that aimed to decrease mechanical ventilation by assessing the causes of acute respiratory failure, ventilation strategies, sedation, and general critical care processes, as well as to avoid unwanted or nonbeneficial interventions. Conclusions The modified Delphi process identified readily available preventative interventions suitable for checklist implementation in patients with or progressing to respiratory failure even before ICU admission.

The use of programmed cell death 1 ligand 1 (PD‐L1) as a predictive biomarker to select patients to receive programmed cell death 1 (PD‐1) or PD‐L1 inhibitors in non‐small cell lung cancer (NSCLC) is limited by the definitions of positivity, interassay agreement, and intra‐ and intertumoral heterogeneity of expression. Although PD‐L1 expression enriches for responses, the lack of expression does not exclude clinical benefit.

Postmenopausal women with nonalcoholic steatohepatitis are at an increased risk of hepatic fibrosis compared with premenopausal women. Whether duration of estrogen deficiency in postmenopausal state dictates an individual's fibrosis risk remains uninvestigated. We assessed the associations of age at menopause and time from menopause with fibrosis severity in postmenopausal women with nonalcoholic fatty liver disease. Data from 488 postmenopausal women with (1) histologic diagnosis of nonalcoholic fatty liver disease and (2) self‐reported information on age at menopause were analyzed. The associations of premature menopause (age at menopause of <40 years) and time from menopause (age at study enrollment ‐ age at menopause, years) with fibrosis severity (stage 0‐4) were assessed using multiple ordinal logistic regression models with and without adjusting for clinical confounders. Among the participants (age at menopause 43.7 ± 8.6 years), women with premature menopause (29.3%) were younger at enrollment ( P < 0.001) and used hormone replacement therapy more often ( P < 0.003). After adjusting for age at enrollment, race, waist circumference standardized by body mass index, current smoking, current alcohol use, hypertension, diabetes/impaired fasting glucose, homeostatic model assessment of insulin resistance, and hormone replacement therapy, premature menopause was associated with an increased likelihood of having more severe fibrosis (adjusted cumulative odds ratio = 1.9, 95% confidence interval 1.3‐2.7, P = 0.001), while time from menopause was directly associated with an increased likelihood of having more severe fibrosis (adjusted cumulative odds ratio for 5‐year unit = 1.2, 95% confidence interval 1.1‐1.3, P = 0.002). Conclusion : Duration of estrogen deficiency in postmenopausal state confers fibrosis risk among postmenopausal women with nonalcoholic fatty liver disease. (H epatology 2016;64:85–91)

Abstract BACKGROUND Revascularization of a stenotic renal artery improves kidney function only in select patients with renovascular hypertension (HT) secondary to atherosclerosis. However, the effects of reversal of renovascular HT (RRHT) on the nonstenotic kidney are unclear. We hypothesized that concurrent hypercholesterolemia (HC) attenuates nonstenotic kidney recovery. METHODS Female domestic pigs were randomized as Normal, renovascular HT, HT+RRHT, HTC (renovascular HT and HC), and HTC+RHT ( n = 7 each). RRHT or sham was performed after 6 weeks of HT. Nonstenotic renal blood flow, glomerular filtration rate, and injurious pathways were studied 4 weeks later. RESULTS Mean arterial pressure increased similarly in HT and HTC and decreased after RRHT. Oxidative stress increased in HT and HTC kidneys, and decreased in HT+RRHT, but remained elevated in HTC+RRHT. Renal interstitial fibrosis, glomerulosclerosis, and tubular injury were all attenuated in HT+RRHT, but not HTC+RRHT. Endothelin-1 signaling and PGF2α isoprostane levels were elevated in both HTC and HTC+RRHT pigs. CONCLUSIONS RRHT reverses nonstenotic kidney injury in experimental renovascular HT, but concurrent HC blunts regression of kidney injury, possibly due to predominant vasoconstrictors and oxidative stress. These findings reinforce the contribution of the nonstenotic kidney and of prevailing cardiovascular risk factors to irreversibility of kidney dysfunction after revascularization.

Abstract The PD-1:PD-L1 immune signaling axis mediates suppression of T-cell–dependent tumor immunity. PD-1 expression was recently found to be upregulated on tumor-infiltrating murine (CD11c+CD11b+CD8−CD209a+) and human (CD1c+CD19−) myeloid dendritic cells (TIDC), an innate immune cell type also implicated in immune escape. However, there is little knowledge concerning how PD-1 regulates innate immune cells. In this study, we examined the role of PD-1 in TIDCs derived from mice bearing ovarian tumors. Similar to lymphocytes, TIDC expression of PD-1 was associated with expression of the adapter protein SHP-2, which signals to NF-κB; however, in contrast to its role in lymphocytes, we found that expression of PD-1 in TIDC tonically paralyzed NF-κB activation. Further mechanistic investigations showed that PD-1 blocked NF-κB–dependent cytokine release in a SHP-2–dependent manner. Conversely, inhibition of NF-κB–mediated antigen presentation by PD-1 occurred independently of SHP-2. Collectively, our findings revealed that PD-1 acts in a distinct manner in innate immune cells compared with adaptive immune cells, prompting further investigations of the signaling pathways controlled by this central mediator of immune escape in cancer. Cancer Res; 76(2); 239–50. ©2015 AACR.

Abstract The aim of this study was to estimate the effect of exposure to secondhand tobacco smoke on the incidence of lung adenocarcinoma in situ/minimally invasive adenocarcinoma (AIS/MIA). Data from seven case–control studies participating in the International Lung Cancer Consortium (ILCCO) were pooled, resulting in 625 cases of AIS/MIA and 7,403 controls, of whom 170 cases and 3,035 controls were never smokers. Unconditional logistic regression was used to estimate adjusted ORs (ORadj) and 95% confidence intervals (CI), controlling for age, sex, race, smoking status (ever/never), and pack-years of smoking. Study center was included in the models as a random-effects intercept term. Ever versus never exposure to secondhand tobacco smoke was positively associated with AIS/MIA incidence in all subjects (ORadj = 1.48; 95% CI, 1.14–1.93) and in never smokers (ORadj = 1.45; 95% CI, 1.00–2.12). There was, however, appreciable heterogeneity of ORadj across studies (P = 0.01), and the pooled estimates were largely influenced by one large study (40% of all cases and 30% of all controls). These findings provide weak evidence for an effect of secondhand tobacco smoke exposure on AIS/MIA incidence. Further studies are needed to assess the impact of secondhand tobacco smoke exposure using the newly recommended classification of subtypes of lung adenocarcinoma. Cancer Epidemiol Biomarkers Prev; 24(12); 1902–6. ©2015 AACR.