Background: s/Aims: Pancreatic texture is difficult to predict without palpation. Soft pancreatic texture is associated with increased post-operative complications, including postoperative pancreatic fistula (POPF), cardiac, and respiratory complications. We aimed to develop a calculator predicting pancreatic texture using patient factors and to illustrate complications from soft pancreatic texture following pancreaticoduodenectomy. Methods: Data was collected from the 2016 to 2021 American College of Surgeons National Surgical Quality Improvement database including 17,706 pancreaticoduodenectomy cases. Patients were categorized into two cohorts based on pancreatic texture (9,686 hard, 8,020 soft). Multivariable modeling assessed the impact of patient factors on complications, mortality, and pancreatic texture. These preoperative factors were integrated into a risk calculator (preoperative soft pancreas risk score [PSPRS]) that predicts pancreatic texture. Results: Patients with a soft pancreas had higher rates of postoperative complications compared to those with a hard pancreas (56.5% vs 42.2%; p < 0.001), particularly a threefold increase in POPF rate, and at least a twofold increase in rates of acute kidney injury, deep organ space infection, septic shock, and prolonged length of stay. Female sex (odds ratio [OR]: 1.14, confidence interval [CI]: 1.06–1.22, p < 0.001) and higher body mass index (OR: 1.12, CI: 1.09–1.16, p < 0.001) were independently associated with a soft pancreas. PSPRS ≥6 correctly identified >40% of patients preoperatively as having a hard pancreas (68.9% specificity). Conclusions A soft pancreas was independently associated with serious postoperative complications. Our results were integrated into a risk calculator predicting pancreatic texture from preoperative patient factors, potentially enhancing preoperative counseling and surgical decision-making.

Background: s/Aims: Pancreatic texture is difficult to predict without palpation. Soft pancreatic texture is associated with increased post-operative complications, including postoperative pancreatic fistula (POPF), cardiac, and respiratory complications. We aimed to develop a calculator predicting pancreatic texture using patient factors and to illustrate complications from soft pancreatic texture following pancreaticoduodenectomy. Methods: Data was collected from the 2016 to 2021 American College of Surgeons National Surgical Quality Improvement database including 17,706 pancreaticoduodenectomy cases. Patients were categorized into two cohorts based on pancreatic texture (9,686 hard, 8,020 soft). Multivariable modeling assessed the impact of patient factors on complications, mortality, and pancreatic texture. These preoperative factors were integrated into a risk calculator (preoperative soft pancreas risk score [PSPRS]) that predicts pancreatic texture. Results: Patients with a soft pancreas had higher rates of postoperative complications compared to those with a hard pancreas (56.5% vs 42.2%; p < 0.001), particularly a threefold increase in POPF rate, and at least a twofold increase in rates of acute kidney injury, deep organ space infection, septic shock, and prolonged length of stay. Female sex (odds ratio [OR]: 1.14, confidence interval [CI]: 1.06–1.22, p < 0.001) and higher body mass index (OR: 1.12, CI: 1.09–1.16, p < 0.001) were independently associated with a soft pancreas. PSPRS ≥6 correctly identified >40% of patients preoperatively as having a hard pancreas (68.9% specificity). Conclusions A soft pancreas was independently associated with serious postoperative complications. Our results were integrated into a risk calculator predicting pancreatic texture from preoperative patient factors, potentially enhancing preoperative counseling and surgical decision-making.

Background: s/Aims: Pancreatic texture is difficult to predict without palpation. Soft pancreatic texture is associated with increased post-operative complications, including postoperative pancreatic fistula (POPF), cardiac, and respiratory complications. We aimed to develop a calculator predicting pancreatic texture using patient factors and to illustrate complications from soft pancreatic texture following pancreaticoduodenectomy. Methods: Data was collected from the 2016 to 2021 American College of Surgeons National Surgical Quality Improvement database including 17,706 pancreaticoduodenectomy cases. Patients were categorized into two cohorts based on pancreatic texture (9,686 hard, 8,020 soft). Multivariable modeling assessed the impact of patient factors on complications, mortality, and pancreatic texture. These preoperative factors were integrated into a risk calculator (preoperative soft pancreas risk score [PSPRS]) that predicts pancreatic texture. Results: Patients with a soft pancreas had higher rates of postoperative complications compared to those with a hard pancreas (56.5% vs 42.2%; p < 0.001), particularly a threefold increase in POPF rate, and at least a twofold increase in rates of acute kidney injury, deep organ space infection, septic shock, and prolonged length of stay. Female sex (odds ratio [OR]: 1.14, confidence interval [CI]: 1.06–1.22, p < 0.001) and higher body mass index (OR: 1.12, CI: 1.09–1.16, p < 0.001) were independently associated with a soft pancreas. PSPRS ≥6 correctly identified >40% of patients preoperatively as having a hard pancreas (68.9% specificity). Conclusions A soft pancreas was independently associated with serious postoperative complications. Our results were integrated into a risk calculator predicting pancreatic texture from preoperative patient factors, potentially enhancing preoperative counseling and surgical decision-making.

Methods: Model 1 (M1) was an intact C2C6 model with a 0.5 mm endplate. In model 2 (M2), a cage was implanted after removal of the C4–C5 and C5–C6 discs with preservation of the osseous endplate. In model 3 (M3), 1 mm of the osseous endplate was removed at the upper endplate. Model 4 (M4) resembles M3, except that 3 mm of the osseous endplate was removed. Results: The range of motion (ROM) at C2C6 in the M2–M4 models was reduced by at least 9º compared to the M1 model. The von Mises stress results in the C2C3 and C3C4 interbody discs were significantly smaller in the M1 model and slightly increased in the M2–M3 and M3–M4 models. Migration and subsidence decreased from the M2–M3 model, whereas further endplate removal increased the migration and subsidence as shown in the transition from M3 to M4. Conclusions The M3 model had the least subsidence and migration. The ROM was higher in the M3 model than the M2 and M4 models. Endplate preparation created small stress differences in the healthy intervertebral discs above the ACDF site. A 1 mm embedding depth created the best balance of mechanical strength and contact area, resulting in the most favorable stability of the construct.

BACKGROUND AND OBJECTIVES: The diagnosis of ischemic (ICM) and non-ischemic cardiomyopathy (NICM) is conventionally determined by the presence or absence of coronary artery disease (CAD) in the setting of a reduced left systolic function. However the presence of CAD may not always indicate that the actual left ventricular (LV) dysfunction mechanism is ischemia, as other non-ischemic etiologies can be responsible. We investigated patterns of myocardial fibrosis using delayed hyperenhancement (DHE) on cardiac magnetic resonance (CMR) in ICM and NICM. SUBJECTS AND METHODS: Patients with systolic heart failure who underwent a CMR were prospectively analyzed. The heart failure diagnosis was based on the modified Framingham criteria and LVEF <35%. LV dysfunction was classified as ICM or NICM based on coronary anatomy. RESULTS: A total of 101 subjects were analyzed; 34 were classified as ICM and 67 as NICM. The DHE pattern was concordant with the conventional diagnosis in 27 (79.4%) of the patients with ICM and 62 (92.5%) of the patients with NCIM. A discordant NICM DHE pattern was present in 8.8% of patients with ICM, and an ICM pattern was detected 6.0% of the patients with NICM. Furthermore, 11.8% of the patients with ICM and 1.5% of those with NICM demonstrated a mixed pattern. CONCLUSION: A subset of patients conventionally diagnosed with ICM or NICM based on coronary anatomy demonstrated a discordant or mixed DHE pattern. CMR-DHE imaging can be helpful to determine the etiology of heart failure in patients with persistent LV systolic dysfunction.
Cardiac Imaging Techniques ; Cardiomyopathies* ; Coronary Artery Disease ; Diagnosis ; Fibrosis ; Heart Failure ; Heart Failure, Systolic ; Humans ; Ischemia ; Magnetic Resonance Imaging* ; Prospective Studies