Analysis of conversion factors in robotic-assisted rectal cancer surgery.

BACKGROUND: Robotic surgical management of rectal cancer has a series of advantages which might facilitate the surgical approach to the pelvic cavity and reduce conversion rates. The aim of the present study is to identify independent factors for conversion during robotic rectal cancer surgery. METHODS: A total of 67 patients underwent preoperative CT scan in order to obtain a three-dimensional image of the pelvis, the tumour and prostate. We measured maximum and minimum ilio-iliac, sacral promontory-pubis, coccyx-pubis diameters and maximum lateral axis. Further variables under consideration were age, BMI and use of neoadjuvant therapy. We recorded short-term follow-up outcomes of the resected tumour. RESULTS: The present study included 67 patients (39 males) with an average age of 65.11 ± 10.30 years and a BMI of 27.70 ± 3.97 kg/m(2). Operative procedures included nine abdominoperineal resections and 58 low anterior resections. There were 15 (22.38 %) conversions. Mean operating time was 192.2 ± 42.73 min. Minimum ilio-iliac, maximum ilio-iliac, promontory-pubic and coccyx-pubis diameter as well as maximum lateral axis were 100.38 ± 7.65, 107.10 ± 10.01, 109.97 ± 9.20, 105.61 ± 9.27 and 129.01 ± 9.94 mm, respectively. Mean tumour volume was 37.06 ± 44.08 cc; mean prostate volume was 42.07 ± 17.49 cc. The univariate analysis of the variables showed a correlation between conversion and BMI and minimum ilio-iliac and coccyx-pubis diameters (p = 0.004, 0.047, 0.046). In the multivariate analysis, the only independent predictive factor for conversion was the BMI (p = 0.004).No correlation was found between conversion and sex, age, tumour volume or the rest of pelvic diameters. CONCLUSION: BMI is an independent factor for conversion in robotic-assisted rectal cancer surgery.

Sjögren's syndrome at the crossroad of polyautoimmunity.

The coexistence of autoimmune diseases (i.e., polyautoimmunity) in Sjögren's syndrome (SS) was investigated in a cross-sectional study involving 410 patients. Logistic regression analysis and the Rogers and Tanimoto index were used to evaluate risk factors and clustering, respectively. There were 134 (32.6%) patients with polyautoimmunity. The most frequent and closer coexistent diseases were autoimmune thyroid disease (21.5%), rheumatoid arthritis (8.3%), systemic lupus erythematosus (7.6%), and inflammatory bowel disease (0.7%) which together constituted a cluster group. There were 35 (8.5%) patients with multiple autoimmune syndrome. Besides disease duration, a history of habitual smoking and spontaneous abortion were found to be risk factors for the developing of polyautoimmunity. This study discloses a high prevalence of polyautoimmunity in SS, its associated risk factors and the grouping pattern of such a condition. These results may serve to define plausible approaches to study the common mechanisms of autoimmune diseases.

Shared HLA Class II in Six Autoimmune Diseases in Latin America: A Meta-Analysis.

The prevalence and genetic susceptibility of autoimmune diseases (ADs) may vary depending on latitudinal gradient and ethnicity. The aims of this study were to identify common human leukocyte antigen (HLA) class II alleles that contribute to susceptibility to six ADs in Latin Americans through a meta-analysis and to review additional clinical, immunological, and genetic characteristics of those ADs sharing HLA alleles. DRB1(∗)03:01 (OR: 4.04; 95%CI: 1.41-11.53) was found to be a risk factor for systemic lupus erythematosus (SLE), Sjögren's syndrome (SS), and type 1 diabetes mellitus (T1D). DRB1(∗)04:05 (OR: 4.64; 95%CI: 2.14-10.05) influences autoimmune hepatitis (AIH), rheumatoid arthritis (RA), and T1D; DRB1(∗)04:01 (OR: 3.86; 95%CI: 2.32-6.42) is a susceptibility factor for RA and T1D. Opposite associations were found between multiple sclerosis (MS) and T1D. DQB1(∗)06:02 and DRB1(∗)15 alleles were risk factors for MS but protective factors for T1D. Likewise, DQB1(∗)06:03 allele was a risk factor for AIH but a protective one for T1D. Several common autoantibodies and clinical associations as well as additional shared genes have been reported in these ADs, which are reviewed herein. These results indicate that in Latin Americans ADs share major loci and immune characteristics.

Spondyloarthropathies in autoimmune diseases and vice versa.

Polyautoimmunity is one of the major clinical characteristics of autoimmune diseases (ADs). The aim of this study was to investigate the prevalence of ADs in spondyloarthropathies (SpAs) and vice versa. This was a two-phase cross-sectional study. First, we examined the presence of ADs in a cohort of patients with SpAs (N = 148). Second, we searched for the presence of SpAs in a well-defined group of patients with ADs (N = 1077) including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and Sjögren's syndrome (SS). Among patients with SpAs, ankylosing spondylitis was observed in the majority of them (55.6%). There were two patients presenting with SS in the SpA group (1.4%) and 5 patients with autoimmune thyroiditis (3.5%). The global prevalence of ADs in SpAs was 4.86%. In the ADs group, there were 5 patients with SpAs (0.46%). Our results suggest a lack of association between SpAs and ADs. Accordingly, SpAs might correspond more to autoinflammatory diseases rather than to ADs.

Introducing polyautoimmunity: secondary autoimmune diseases no longer exist.

Similar pathophysiological mechanisms within autoimmune diseases have stimulated searches for common genetic roots. Polyautoimmunity is defined as the presence of more than one autoimmune disease in a single patient. When three or more autoimmune diseases coexist, this condition is called multiple autoimmune syndrome (MAS). We analyzed the presence of polyautoimmunity in 1,083 patients belonging to four autoimmune disease cohorts. Polyautoimmunity was observed in 373 patients (34.4%). Autoimmune thyroid disease (AITD) and Sjögren's syndrome (SS) were the most frequent diseases encountered. Factors significantly associated with polyautoimmunity were female gender and familial autoimmunity. Through a systematic literature review, an updated search was done for all MAS cases (January 2006-September 2011). There were 142 articles retrieved corresponding to 226 cases. Next, we performed a clustering analysis in which AITD followed by systemic lupus erythematosus and SS were the most hierarchical diseases encountered. Our results indicate that coexistence of autoimmune diseases is not uncommon and follows a grouping pattern. Polyautoimmunity is the term proposed for this association of disorders, which encompasses the concept of a common origin for these diseases.

How does age at onset influence the outcome of autoimmune diseases?

The age at onset refers to the time period at which an individual experiences the first symptoms of a disease. In autoimmune diseases (ADs), these symptoms can be subtle but are very relevant for diagnosis. They can appear during childhood, adulthood or late in life and may vary depending on the age at onset. Variables like mortality and morbidity and the role of genes will be reviewed with a focus on the major autoimmune disorders, namely, systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), multiple sclerosis (MS), type 1 diabetes mellitus (T1D), Sjögren's syndrome, and autoimmune thyroiditis (AITD). Early age at onset is a worst prognostic factor for some ADs (i.e., SLE and T1D), while for others it does not have a significant influence on the course of disease (i.e., SS) or no unanimous consensus exists (i.e., RA and MS).