Timing of a Major Operative Intervention After a Positive COVID-19 Test Affects Postoperative Mortality: Results From a Nationwide, Procedure-matched Analysis.

BACKGROUND: Studies indicate that coronavirus disease 2019 (COVID-19) infection before or soon after operations increases mortality, but they do not comment on the appropriate timing for interventions after diagnosis. OBJECTIVE: We sought to determine what the safest time would be for COVID-19 diagnosed patients to undergo major operative interventions. METHODS: High-risk operations, between January 2020 and May 2021, were identified from the Veterans Affairs COVID-19 Shared Data Resource. Current Procedural Terminology (CPT) codes were used to exact match COVID-19 positive cases (n=938) to negative controls (n=7235). Time effects were calculated as a continuous variable and then grouped into 2-week intervals. The primary outcome was 90-day, all-cause postoperative mortality. RESULTS: Ninety-day mortality in cases and controls was similar when the operation was performed within 9 weeks or longer after a positive test; but significantly higher in cases versus controls when the operation was performed within 7 to 8 weeks (12.3% vs 4.9%), 5 to 6 weeks (10.3% vs 3.3%), 3 to 4 weeks (19.6% vs 6.7%), and 1 to 2 weeks (24.7% vs 7.4%) from diagnosis. Among patients who underwent surgery within 8 weeks from diagnosis, 90-day mortality was 16.6% for cases versus 5.8% for the controls ( P <0.001). In this cohort, we assessed interaction between case status and any symptom ( P =0.93), and case status and either respiratory symptoms or fever ( P =0.29), neither of which were significant statistically. CONCLUSIONS: Patients undergoing major operations within 8 weeks after a positive test have substantially higher postoperative 90-day mortality than CPT-matched controls without a COVID-19 diagnosis, regardless of presenting symptoms.

Higher comorbidities and early death in hospitalized African-American patients with Covid-19.

BACKGROUND: African-Americans/Blacks have suffered higher morbidity and mortality from COVID-19 than all other racial groups. This study aims to identify the causes of this health disparity, determine prognostic indicators, and assess efficacy of treatment interventions. METHODS: We performed a retrospective cohort study of clinical features and laboratory data of COVID-19 patients admitted over a 52-day period at the height of the pandemic in the United States. This study was performed at an urban academic medical center in New York City, declared a COVID-only facility, serving a majority Black population. RESULTS: Of the 1103 consecutive patients who tested positive for COVID-19, 529 required hospitalization and were included in the study. 88% of patients were Black; and a majority (52%) were 61-80 years old with a mean body mass index in the "obese" range. 98% had one or more comorbidities. Hypertension was the most common (79%) pre-existing condition followed by diabetes mellitus (56%) and chronic kidney disease (17%). Patients with chronic kidney disease who received hemodialysis were found to have lower mortality, than those who did not receive it, suggesting benefit from hemodialysis Age > 60 years and coronary artery disease were independent predictors of mortality in multivariate analysis. Cox proportional hazards modeling for time to death demonstrated a significantly high ratio for COPD/Asthma, and favorable effects on outcomes for pre-admission ACE inhibitors and ARBs. CRP (180, 283 mg/L), LDH (551, 638 U/L), glucose (182, 163 mg/dL), procalcitonin (1.03, 1.68 ng/mL), and neutrophil:lymphocyte ratio (8.3:10.0) were predictive of mortality on admission and at 48-96 h. Of the 529 inpatients 48% died, and one third of them died within the first 3 days of admission. 159/529patients received invasive mechanical ventilation, of which 86% died and of the remaining 370 patients, 30% died. CONCLUSIONS: COVID-19 patients in our predominantly Black neighborhood had higher in-hospital mortality, likely due to higher prevalence of comorbidities. Early dialysis and pre-admission intake of ACE inhibitors/ARBs improved patient outcomes. Early escalation of care based on comorbidities and key laboratory indicators is critical for improving outcomes in African-American patients.

Nocturia is Associated with High Atherosclerotic Cardiovascular Disease Risk in Women: Results from the National Health and Nutrition Examination Survey.

Growing evidence has identified nocturia as a potential manifestation of several cardiovascular disease states. We aimed to determine whether a relationship exists between nocturia and global atherosclerotic cardiovascular disease (ASCVD) risk, defined by the American College of Cardiology/American Heart Association (ACC/AHA) ASCVD risk calculator, using a large nationally-representative study sample from the United States. We explored potential associations between nocturia and ASCVD risk in adults aged 40-79 years with no prior history of overt/known atherosclerotic disease from 7 consecutive cycles of the National Health and Nutrition Examination Survey. Subjects were classified by whether they met the ASCVD high-risk threshold following current ACC/AHA consensus guidelines (10-year major adverse cardiovascular event risk ≥ 20%). Logistic regression analyses were used to explore associations between nocturia (defined as ≥ 2 nocturnal voids) and ASCVD risk. The prevalence of nocturia and high ASCVD risk were 27.0% and 10.9%, respectively. Nocturia, older age, increased body mass index, and diuretic use were associated with high ASCVD risk on univariate logistic regression. After adjusting for age, body mass index, and diuretic use, nocturia remained associated with significantly greater odds of high ASCVD risk in females but not in males. Elicitation of nocturia on clinical history taking may serve to identify high cardiovascular risk in females. Future studies are needed to elucidate mechanisms underlying this association.

Kinome Array Profiling of Patient-Derived Pancreatic Ductal Adenocarcinoma Identifies Differentially Active Protein Tyrosine Kinases.

Pancreatic cancer remains one of the most difficult malignancies to treat. Minimal improvements in patient outcomes and persistently abysmal patient survival rates underscore the great need for new treatment strategies. Currently, there is intense interest in therapeutic strategies that target tyrosine protein kinases. Here, we employed kinome arrays and bioinformatic pipelines capable of identifying differentially active protein tyrosine kinases in different patient-derived pancreatic ductal adenocarcinoma (PDAC) cell lines and wild-type pancreatic tissue to investigate the unique kinomic networks of PDAC samples and posit novel target kinases for pancreatic cancer therapy. Consistent with previously described reports, the resultant peptide-based kinome array profiles identified increased protein tyrosine kinase activity in pancreatic cancer for the following kinases: epidermal growth factor receptor (EGFR), fms related receptor tyrosine kinase 4/vascular endothelial growth factor receptor 3 (FLT4/VEGFR-3), insulin receptor (INSR), ephrin receptor A2 (EPHA2), platelet derived growth factor receptor alpha (PDGFRA), SRC proto-oncogene kinase (SRC), and tyrosine kinase non receptor 2 (TNK2). Furthermore, this study identified increased activity for protein tyrosine kinases with limited prior evidence of differential activity in pancreatic cancer. These protein tyrosine kinases include B lymphoid kinase (BLK), Fyn-related kinase (FRK), Lck/Yes-related novel kinase (LYN), FYN proto-oncogene kinase (FYN), lymphocyte cell-specific kinase (LCK), tec protein kinase (TEC), hemopoietic cell kinase (HCK), ABL proto-oncogene 2 kinase (ABL2), discoidin domain receptor 1 kinase (DDR1), and ephrin receptor A8 kinase (EPHA8). Together, these results support the utility of peptide array kinomic analyses in the generation of potential candidate kinases for future pancreatic cancer therapeutic development.

Emerging Kinase Therapeutic Targets in Pancreatic Ductal Adenocarcinoma and Pancreatic Cancer Desmoplasia.

Kinase drug discovery represents an active area of therapeutic research, with previous pharmaceutical success improving patient outcomes across a wide variety of human diseases. In pancreatic ductal adenocarcinoma (PDAC), innovative pharmaceutical strategies such as kinase targeting have been unable to appreciably increase patient survival. This may be due, in part, to unchecked desmoplastic reactions to pancreatic tumors. Desmoplastic stroma enhances tumor development and progression while simultaneously restricting drug delivery to the tumor cells it protects. Emerging evidence indicates that many of the pathologic fibrotic processes directly or indirectly supporting desmoplasia may be driven by targetable protein tyrosine kinases such as Fyn-related kinase (FRK); B lymphoid kinase (BLK); hemopoietic cell kinase (HCK); ABL proto-oncogene 2 kinase (ABL2); discoidin domain receptor 1 kinase (DDR1); Lck/Yes-related novel kinase (LYN); ephrin receptor A8 kinase (EPHA8); FYN proto-oncogene kinase (FYN); lymphocyte cell-specific kinase (LCK); tec protein kinase (TEC). Herein, we review literature related to these kinases and posit signaling networks, mechanisms, and biochemical relationships by which this group may contribute to PDAC tumor growth and desmoplasia.

Chimeric Antigen Receptor T-Cell Therapy: Reach to Solid Tumor Experience.

Chimeric antigen receptor (CAR) modified T-cell therapy, a unique platform technology highlighting precision medicine through utilization of molecular biology and cell-based therapeutics has shown unprecedented rates in patients with hematological malignancies such as acute lymphocyte leukemia, non-Hodgkin's lymphoma and multiple myeloma (MM). With the approval of CD19-targeted CAR T-cells by the Food and Drug Administration in acute lymphoblastic leukemia (ALL) and NHL, this technology is positioned for aggressive expansion to combination therapeutic opportunities and proof of principle towards utility in other malignant disorders. However, despite the impressive results seen with hematological malignancies, CAR T-cells have shown limited efficacy in solid tumors with several unsuccessful preclinical studies. Regardless, these attempts have provided us with a better understanding of the imminent challenges specific to solid tumors even if they have not so far led to expanded clinical treatment opportunities outside ALL/NHL/MM. This review summarizes our current understanding of CAR T-cell mechanism of action, while presenting the major limitations of CAR T-cell derived treatments in solid tumors. We further discuss recent findings and present new potential strategies to overcome the challenges facing solid tumor targeting by CAR T-cell platforms.

Catheter Directed Lysis and Thrombectomy Are Equally Effective for Extensive Deep Vein Thrombosis.

BACKGROUND: There is currently little consensus on the role of thrombectomy compared with catheter-directed lysis (CDL) for acute, extensive, proximal deep vein thrombosis (DVT). We sought to determine whether any differences in outcomes exist between thrombectomy and CDL in terms of postoperative venous patency, pulmonary emboli (PE), and bleeding/hematoma. METHODS: In an institutional review board-approved retrospective cohort study, patients from a single academic medical center with confirmed lower extremity DVT were divided into thrombectomy and CDL cohorts. Demographic information, comorbidities and laboratory data, postoperative patency, postoperative bleeding, postoperative PE, popliteal hematoma, and recurrence of DVT were collected. Type I error level was set at 0.05. RESULTS: Eighty-seven patients were identified, 51.7% received CDL, and 48.3% underwent thrombectomy. Patient comorbidities and hypercoagulable states were not significantly different among the groups. The two techniques did not have significantly different postoperative patency (P = 0.472), bleeding (P = 0.598), PE (P = 0.868), popliteal hematoma (P = 0.331), or recurrence of DVT (P = 0.835). CONCLUSIONS: In selecting optimum treatment for acute, extensive, proximal DVT, our retrospective cohort study found no significant differences among treatment groups in safety, efficacy, recurrence, and progression to PE. We conclude that modality of treatment should be decided based on hospital resources, surgeon experience, and comfort with each technique, patient's physiologic status, and associated costs.

Natural killer cells: a review of biology, therapeutic potential and challenges in treatment of solid tumors.

Natural killer (NK) cells lead immune surveillance against cancer and early elimination of small tumors. Owing to their ability to engage tumor targets without the need of specific antigen, the therapeutic potential of NK cells has been extensively explored in hematological malignancies. In solid tumors, however, their role in the clinical arena remains poorly exploited despite a broad accumulation of preclinical data. In this article, we review our current knowledge of NK cells' biology, and highlight the challenges facing NK cell antitumor strategies in solid tumors. We further summarize the abundant preclinical attempts at overcoming these challenges, present past and ongoing clinical trial data and finally discuss the potential impact of novel insights on the development of NK cell-based therapies.

Bifidobacterium spp: the promising Trojan Horse in the era of precision oncology.

Selective delivery of therapeutic agents into solid tumors has been a major challenge impeding the achievement of long-term disease remission and cure. The need to develop alternative drug delivery routes to achieve higher drug concentration in tumor tissue, reduce unwanted off-target side effects and thus achieve greater therapeutic efficacy, has resulted in an explosive body of research. Bifidobacterium spp. are anaerobic, nonpathogenic, Gram-positive bacteria, commensal to the human gut that are a possible anticancer drug-delivery vehicle. In this review, we describe Bifidobacterium's microbiology, current clinical applications, overview of the preclinical work investigating Bifidobacterium's potential to deliver anticancer therapy, and review the different strategies used up to date. Finally, we discuss both current challenges and future prospects.

Pancreatic cancer actionable genes in precision medicine and personalized surgery.

Pancreatic ductal adenocarcinoma (PDAC) is a deadly cancer with an overall 5-year survival rate less than 5% due to the poor early diagnosis and lack of effective therapeutic options. The most effective therapy remains surgery, however post-operative survival could be enhanced with effective adjuvant therapy. The massive information gained from Omics techniques on PDAC at the beginning of the 21st century is a remarkable accomplishment. However, the information gained from the omics data, including next generation sequencing data, has yet to successfully affect care of patients suffering with PDAC. Therefore, we propose the development of an actionable genomic platform that matches a patient's PDAC clinically actionable genes with potential targeted adjuvant therapies. Using this platform, PDX1 has been identified as a potential actionable gene for PDAC, therefore, RNAi therapy, gene therapy and small inhibitory drugs, all targeting PDX1, serve as potential targeted adjuvant therapies. Preclinical studies support the hypothesis that identification of PDAC actionable genes could permit translation of a patient's genomic information into precision targeted adjuvant therapy for PDAC.

Smart exosomes enhance PDAC targeted therapy.

Exosomes continue to attract interest as a promising nanocarrier drug delivery technology. They are naturally derived nanoscale extracellular vesicles with innate properties well suited to shuttle proteins, lipids, and nucleic acids between cells. Nonetheless, their clinical utility is currently limited by several major challenges, such as their inability to target tumor cells and a high proportion of clearance by the mononuclear phagocyte system (MPS) of the liver and spleen. To overcome these limitations, we developed "Smart Exosomes" that co-display RGD and CD47p110-130 through CD9 engineering (ExoSmart). The resultant ExoSmart demonstrates enhanced binding capacity to αvß3 on pancreatic ductal adenocarcinoma (PDAC) cells, resulting in amplified cellular uptake in in vitro and in vivo models and increased chemotherapeutic efficacies. Simultaneously, ExoSmart significantly reduced liver and spleen clearance of exosomes by inhibiting macrophage phagocytosis via CD47p110-130 interaction with signal regulatory proteins (SIRPα) on macrophages. These studies demonstrate that an engineered exosome drug delivery system increases PDAC therapeutic efficacy by enhancing active PDAC targeting and prolonging circulation times, and their findings hold tremendous translational potential for cancer therapy while providing a concrete foundation for future work utilizing novel peptide-engineered exosome strategies.

Phase I trial of "bi-shRNAi(furin)/GMCSF DNA/autologous tumor cell" vaccine (FANG) in advanced cancer.

We performed a phase I trial of FANG vaccine, an autologous tumor-based product incorporating a plasmid encoding granulocyte-macrophage colony-stimulating factor (GMCSF) and a novel bifunctional short hairpin RNAi (bi-shRNAi) targeting furin convertase, thereby downregulating endogenous immunosuppressive transforming growth factors (TGF) ß1 and ß2. Patients with advanced cancer received up to 12 monthly intradermal injections of FANG vaccine (1 × 10(7) or 2.5 × 10(7) cells/ml injection). GMCSF, TGFß1, TGFß2, and furin proteins were quantified by enzyme-linked immunosorbent assay (ELISA). Safety and response were monitored. Vaccine manufacturing was successful in 42 of 46 patients of whom 27 received ≥1 vaccine. There were no treatment-related serious adverse events. Most common grade 1, 2 adverse events included local induration (n = 14) and local erythema (n = 11) at injection site. Post-transfection mean product expression GMCSF increased from 7.3 to 1,108 pg/10(6) cells/ml. Mean TGFß1 and ß2 effective target knockdown was 93.5 and 92.5% from baseline, respectively. Positive enzyme-linked immunospot (ELISPOT) response at month 4 was demonstrated in 9 of 18 patients serially assessed and correlated with survival duration from time of treatment (P = 0.025). Neither dose-adverse event nor dose-response relationship was noted. In conclusion, FANG vaccine was safe and elicited an immune response correlating with prolonged survival. Phase II assessment is justified.

Serum response factor expression is enriched in pancreatic ß cells and regulates insulin gene expression.

Serum response factor (SRF) is an essential regulator of myogenic and neurogenic genes and the ubiquitously expressed immediate-early genes. The purpose of this study is to determine SRF expression pattern in murine pancreas and examine the role of SRF in pancreatic gene expression. Immunohistochemical analysis of wild-type pancreas and LacZ staining of pancreas from SRF LacZ knock-in animals showed that SRF expression is restricted to ß cells. SRF bound to the rat insulin promoter II (RIP II) serum response element, an element conserved in both rat I and murine I and II insulin promoters. SRF activated RIP II, and SRF binding to RIP II and the exon 5-encoded 64-aa subdomain of SRF was required for this activation. Transient or stable knockdown of SRF leads to down-regulation of insulin gene expression, suggesting that SRF is required for insulin gene expression. Further, SRF physically interacted with the pancreas and duodenum homeobox-1 (Pdx-1) and synergistically activated RIP II. Elevated glucose concentration down-regulated SRF binding to RIP II SRE, and this down-regulation was associated with decreased RIP II activity and increased SRF phosphorylation on serine 103. Together, our results demonstrate that SRF is a glucose concentration-sensitive regulator of insulin gene expression.

A Machine Learning Model for Prediction of Amputation in Diabetics.

BACKGROUND: Diabetic foot ulcer (DFU) and the resulting lower extremity amputation are associated with a poor survival prognosis. The objective of this study is to generate a model for predicting the probability of major amputation in hospitalized patients with DFU. METHODS: The National Inpatient Sample (NIS) database from 2008 to 2014 was used to select patients with DFU, who were then further divided by major amputation status. International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) and Agency for Healthcare Research and Quality (AHRQ) comorbidity codes were used to compare patient characteristics. For the descriptive statistics, the Student t test, the χ2 test, and the Spearman correlation were utilized. The five most predictive variables were identified. A decision tree model (CTREE) based on conditional inference framework algorithm and a random forest model were used to develop the algorithm. RESULTS: A total of 326 853 inpatients with DFU were identified, and 5.9% underwent major amputation. The top five contributory variables (all with P < .001) were gangrene (odds ratio [OR] = 11.8, 95% confidence interval [CI] = 11.5-12.2), peripheral vascular disease (OR = 2.9, 95% CI = 2.8-3.0), weight loss (OR = 2.6, 95% CI = 2.5-2.8), systemic infection (OR = 2.5, 95% CI = 2.4-2.53), and osteomyelitis (OR = 1.7, 95% CI = 1.6-1.73). The model performance of the training data was 77.7% (76.1% sensitivity and 79.3% specificity) and of the testing data was 77.8% (76.2% sensitivity and 79.4% specificity). The model was further validated with boosting and random forest models which demonstrated similar performance and area under the curve (AUC) (0.84, 95% CI = 0.83-0.85). CONCLUSION: Utilizing machine learning methods, we have developed a clinical algorithm that predicts the risk of major lower extremity amputation for inpatients with diabetes with 77.8% accuracy.

Association between somatostatin receptor 5 gene polymorphisms and pancreatic cancer risk and survival.

BACKGROUND: Somatostatin (SST) inhibited cell proliferation and negatively regulated the release of growth hormones by means of specific receptors (SSTR). Genetic variation in SSTR had been associated with risk of human cancers but had never been investigated in pancreatic cancer. METHODS: In this retrospective study the SSTR5 gene in paired tumor and blood samples from 33 pancreatic adenocarcinoma patients using the Sanger method were sequenced. Three single nucleotide polymorphisms (SNPs) in samples from 863 patients with pancreatic ductal adenocarcinoma and 876 healthy controls using the TaqMan method were analyzed. The associations between gene polymorphisms and pancreatic cancer risk and survival were analyzed by multivariate logistic regression and Cox proportional hazard models, respectively. RESULTS: No somatic mutations were identified, but 3 nonsynonymous SSTR5 SNPs (P109S, L48M, and P335L) in pancreatic tumors were identified. The SSTR5 P109S variant allele was associated with a 1.62-fold increased risk of pancreatic cancer (95% confidence interval [CI]: 1.08-2.43, P = 0.019). Furthermore, the SSTR5 L48M AC variant and smoking had a joint effect on pancreatic cancer risk (p(interaction) = 0.035). The odds ratios (95% confidence intervals) were 0.58 (0.34-0.97), 1.49 (1.18-1.89), and 2.27 (1.35-3.83) for the variant genotype alone, smoking alone, and both factors, respectively, compared with no factors. Finally, SSTR5 P335L CC and P109S CC combined were associated with lower overall survival durations in patients with resectable disease. CONCLUSIONS: These data suggest that SSTR5 genetic variants play a role in pancreatic cancer development and progression.

Obesity does not increase complications following pancreatic surgery.

BACKGROUND: Recent evidence suggests that the quantity of intra-abdominal fat may be a more important predictor of postoperative complications than body mass index (BMI). We hypothesized that increased intra-abdominal fat would be associated with longer operations, increased blood loss, more complications, and prolonged length of stay after pancreatic resection. METHODS: Retrospective cohort study. Intra-abdominal fat was quantified using CT imaging, and patients were divided into three groups (low, moderate, high). Unconditional multiple logistic regression was used to evaluate the relationship between obesity measures and complications. RESULTS: Between 2002 and 2010, 255 patients underwent pancreaticoduodenectomy or distal pancreatectomy, and 201 had preoperative CT imaging available for review. Operative time was significantly prolonged in patients with high quantities of intra-abdominal fat compared with those with low fat quantity (median 438 versus 354 min, P < 0.05), while BMI was not associated with changes in duration of surgery. Neither obesity defined by BMI (OR 0.90, 95% CI 0.36-2.21) nor visceral fat (OR 1.20, 95% CI 0.46-3.16) significantly predicted risk of complications. Median length of stay was similar in patients who were obese by BMI (7 versus 7.5 d) or amount of intra-abdominal fat (7 d). CONCLUSIONS: Intra-abdominal fat was a better predictor than BMI for determining length of procedure. However, in contrast to previous studies evaluating abdominal surgery, neither BMI nor intra-abdominal fat significantly predicted risk of complication or length of hospital stay. Further research is needed to determine the best measure to assist in risk prediction of obese patients undergoing pancreatic surgery.