Factors that Predict Survival From Mesenteric Ischemia in the Geriatric Patient: Not a Death Sentence.

BACKGROUND: The mortality rate from mesenteric ischemia is reported to be as high as 80%. The goal of our study was to identify demographic and clinical predictors of post-operative mortality and discharge disposition among elderly patients with mesenteric ischemia. METHODS: All patients 65 years and older who underwent emergency surgery (ES) for the management of mesenteric ischemia in the American College of Surgeons-National Surgical Quality Improvement Program database from 2007 to 2017 were included. Univariate analyses and logistic regressions were used to identify independent predictors of mortality and discharge disposition. RESULTS: A total of 2438 patients met inclusion criteria, with a median age of 77 years and 60.8% being female. The 30-day mortality of the overall cohort was 31.5% and the 30-day morbidity was 65.3%. The following were the major predictors of 30-day mortality: pre-operative diagnosis of septic shock [OR: 2.46, (95% CI: 1.94-3.13)], dialysis dependence [OR: 2.05, (95% CI: 1.45-2.90)], recent weight loss [OR: 1.80, (95% CI: 1.16-2.79)], age ≥80 years [OR: 1.67, (95% CI: 1.25-2.23)], and ventilator dependence [OR: 1.65, (95% CI: 1.23-2.23)]. In the absence of these predictors, survival rate was 84%. The major predictors of discharge to post-acute care (PAC) included age ≥80 years [OR: 3.70, (95% CI: 2.50-5.47)] and pre-operative septic shock [OR: 2.20, (95% CI: 1.42-3.41)]. CONCLUSION: In the geriatric patient, a diagnosis of mesenteric ischemia does not equate to an automatic death sentence. The presence of certain pre-operative risk factors confers a high risk of mortality, whereas their absence is associated with a high chance of survival.

Circulating cell clusters aggravate the hemorheological abnormalities in COVID-19.

Microthrombi and circulating cell clusters are common microscopic findings in patients with coronavirus disease 2019 (COVID-19) at different stages in the disease course, implying that they may function as the primary drivers in disease progression. Inspired by a recent flow imaging cytometry study of the blood samples from patients with COVID-19, we perform computational simulations to investigate the dynamics of different types of circulating cell clusters, namely white blood cell (WBC) clusters, platelet clusters, and red blood cell clusters, over a range of shear flows and quantify their impact on the viscosity of the blood. Our simulation results indicate that the increased level of fibrinogen in patients with COVID-19 can promote the formation of red blood cell clusters at relatively low shear rates, thereby elevating the blood viscosity, a mechanism that also leads to an increase in viscosity in other blood diseases, such as sickle cell disease and type 2 diabetes mellitus. We further discover that the presence of WBC clusters could also aggravate the abnormalities of local blood rheology. In particular, the extent of elevation of the local blood viscosity is enlarged as the size of the WBC clusters grows. On the other hand, the impact of platelet clusters on the local rheology is found to be negligible, which is likely due to the smaller size of the platelets. The difference in the impact of WBC and platelet clusters on local hemorheology provides a compelling explanation for the clinical finding that the number of WBC clusters is significantly correlated with thrombotic events in COVID-19 whereas platelet clusters are not. Overall, our study demonstrates that our computational models based on dissipative particle dynamics can serve as a powerful tool to conduct quantitative investigation of the mechanism causing the pathological alterations of hemorheology and explore their connections to the clinical manifestations in COVID-19.

Intensive Care Unit Volume of Sepsis Patients Does Not Affect Mortality: Results of a Nationwide Retrospective Analysis.

BACKGROUND: There is little research evaluating outcomes from sepsis in intensive care units (ICUs) with lower sepsis patient volumes as compared to ICUs with higher sepsis patient volumes. Our objective was to compare the outcomes of septic patients admitted to ICUs with different sepsis patient volumes. MATERIALS AND METHODS: We included all patients from the eICU-CRD database admitted for the management of sepsis with blood lactate ≥ 2mmol/L within 24 hours of admission. Our primary outcome was ICU mortality. Secondary outcomes included hospital mortality, 30-day ventilator free days, and initiation of renal replacement therapy (RRT). ICUs were grouped in quartiles based on the number of septic patients treated at each unit. RESULTS: 10,716 patients were included in our analysis; 272 (2.5%) in low sepsis volume ICUs, 1,078 (10.1%) in medium-low sepsis volume ICUs, 2,608 (24.3%) in medium-high sepsis volume ICUs, and 6,758 (63.1%) in high sepsis volume ICUs. On multivariable analyses, no significant differences were documented regarding ICU and hospital mortality, and ventilator days in patients treated in lower versus higher sepsis volume ICUs. Patients treated at lower sepsis volume ICUs had lower rates of RRT initiation as compared to high volume units (medium-high vs. high: OR = 0.78, 95%CI = 0.66-0.91, P-value = 0.002 and medium-low vs. high: OR = 0.57, 95%CI = 0.44-0.73, P-value < 0.001). CONCLUSION: The previously described volume-outcome association in septic patients was not identified in an intensive care setting.

Modified Frailty Index-5 Score and Post-Operative Infectious Complications in Patients Undergoing Surgery for Intestinal-Cutaneous Fistula: A Nationwide Retrospective Cohort Analysis.

Background: Post-operative infectious complications after repair of intestinal-cutaneous fistulas (ICF) represent a substantial burden and these outcomes vary widely in the literature. We aimed to evaluate the use of the modified frailty index-5 (mFI-5) to account for physiologic reserve to predict infectious complications in patients with ICF undergoing operative repair. Methods: We used the American College of Surgeon National Surgical Quality Improvement Program (ACS-NSQIP) 2006-2017 dataset to include patients who underwent ICF repair. The main outcome measure was 30-day infectious complications (surgical site infection [SSI], sepsis, pneumonia, and urinary tract infection [UTI]). The risk of 30-day post-operative infectious complications was assessed based on mFI-5 score. We performed multivariable logistic regression analyses to evaluate the association between infectious complications and mFI-5. Results: We identified 4,197 patients who underwent an ICF repair. The median age (interquartile range [IQR]) was 57 (46, 67) years, and the majority of patients were female (2,260; 53.9%); white (3,348; 79.8%); and 1,586 (38.3%) were obese. After adjustment for relevant confounders such as baseline patient characteristics, and operative details, mFI-5 was independently associated with infectious complications (odds ratio [OR], 2.00; 95% confidence interval [CI], 1.25-3.21), particularly SSI (OR, 2.16; 95% CI, 1.28-3.63) and pneumonia (OR, 5.31; 95% CI, 2.29-12.35), but not UTI or sepsis. Conclusions: We showed that the mFI-5 is a strong predictor of infectious complications after ICF repair. It can be utilized to account for physiologic reserve, therefore reducing the variability of outcomes reported for ICF repair.