A retrospective cohort study on dental implant survival in patients with grafted alveolar clefts.

OBJECTIVES: The aim of this study was to assess the survival rate of dental implants inserted in an alveolar cleft area where one or more bone graft procedures were performed and to identify possible factors that affect the survival rate. MATERIALS AND METHODS: The available data from 78 implants placed in 64 patients with grafted alveolar clefts were retrospectively analysed. Statistical analyses were performed using Kaplan-Meier survival analysis, log-rank tests and univariable Cox proportional hazard models. RESULTS: The median follow-up period from insertion to the last follow-up appointment was 46 months (IQR: 29-79.3). In five patients, a single implant failed. This resulted in a cumulative survival rate of 95.0% at median follow-up. The factors investigated in this study did not have a significant effect on implant survival. CONCLUSIONS: Dental implants placed in patients with alveolar clefts are a reliable treatment option for dental rehabilitation.

High Systemic Immune Inflammation Index Is Associated With Low Skeletal Muscle Quantity in Resectable Pancreatic Ductal Adenocarcinoma.

Background and Aims: Failing immune surveillance in pancreatic ductal adenocarcinoma (PDAC) is related to poor prognosis. PDAC is also characterized by its substantial alterations to patients' body composition. Therefore, we investigated associations between the host systemic immune inflammation response and body composition in patients with resected PDAC. Methods: Patients who underwent a pancreatectomy for PDAC between 2004 and 2016 in two tertiary referral centers were included. Skeletal muscle mass quantity and muscle attenuation, as well as subcutaneous and visceral adipose tissue at the time of diagnosis, were determined by CT imaging measured transversely at the third lumbar vertebra level. Baseline clinicopathological characteristics, laboratory values including the systemic immune inflammation index (SIII), postoperative, and survival outcomes were collected. Results: A total of 415 patients were included, and low skeletal muscle mass quantity was found in 273 (65.7%) patients. Of the body composition indices, only low skeletal muscle mass quantity was independently associated with a high (≥900) SIII (OR 7.37, 95% CI 2.31-23.5, p=0.001). The SIII was independently associated with disease-free survival (HR 1.86, 95% CI 1.12-3.04), and cancer-specific survival (HR 2.21, 95% CI 1.33-3.67). None of the body composition indices were associated with survival outcomes. Conclusion: This study showed a strong association between preoperative low skeletal muscle mass quantity and elevated host systemic immune inflammation in patients with resected PDAC. Understanding how systemic inflammation may contribute to changes in body composition or whether reversing these changes may affect the host systemic immune inflammation response could expose new therapeutic possibilities for improving patients' survival outcomes.

Estimated skeletal muscle mass and density values measured on computed tomography examinations in over 1000 living kidney donors.

BACKGROUND/OBJECTIVES: Currently, there are no widely accepted cut-off points to categorize patients as sarcopenic (low skeletal muscle mass) or myosteatotic based on computed tomography (CT) measurements. Moreover, little is known about skeletal muscle mass in healthy subjects, particularly in a Western-European population. SUBJECTS/METHODS: Skeletal muscle mass (skeletal muscle index, cm2/m2) and density (Hounsfield units, HU) at the level of the third lumbar vertebra were measured on contrast-enhanced CT images in live kidney donors with an age range of 18-86 years, who may be considered as healthy subjects, from 2010 to 2015. Differences between sex, body mass index (BMI), age groups, and American Society of Anesthesiologists (ASA) classification were assessed. Mann-Whitney U and Kruskal-Wallis tests were used to compare groups. RESULTS: Of the 1073 included patients, 499 (46.5%) were male and the median age and BMI were 51 years and 25.4 kg/m2, respectively. Male gender, increased age, and increased BMI were significantly associated with both skeletal muscle mass and density. Nomograms including these parameters were developed to calculate the estimated skeletal muscle mass and density of a healthy subject and the lower bound of the 90% prediction interval (p5) values were provided. CONCLUSIONS: Skeletal muscle density and mass were significantly associated with sex, age, and BMI in a large cohort of healthy Western-European subjects. The newly developed nomograms may be used to calculate the estimated healthy skeletal muscle mass for individuals in patient populations.