Skin and mucosa care in systemic sclerosis - patients' and family caregivers' experiences and expectations of a specific education programme: a qualitative study

BACKGROUND Skin and mucosal manifestations such as skin thickening, pruritus, reduced microvascular circulation, digital lesions, appearance-related changes, and dryness of the eyes and mucosa are common in systemic sclerosis (SSc). A specific skin and mucosa care education programme for patients and their family caregivers should increase their self-efficacy and improve coping strategies. AIMS The aims of this qualitative study were to explore the participants' experiences of both everyday life with skin and mucosal manifestations and the programme itself, while identifying unmet needs for programme development. METHODS Narrative interviews were conducted with eight SSc patients and two family caregivers of individuals with SSc. Using qualitative content analysis techniques, the transcribed interviews were systematically summarized and categories inductively developed. RESULTS The findings illustrated participants' experiences of skin and mucosal symptoms and revealed them to be experts in finding the right therapy mix alone (before diagnosis) and also in collaboration with health professionals (after diagnosis). Participants emphasized that the programme gave them useful education on skin and mucosa care. They described how they had to cope alone with the lack of information on pathophysiology, people's reactions, and the impact on their family and working lives. Nevertheless, participants said that they maintained a positive attitude by not dwelling on future disabilities. CONCLUSIONS Patients and family caregivers benefited from the individualized and SSc-specific education on skin and mucosa care. Future improvements to the programme should focus on imparting understandable information on SSc pathophysiology, dealing with disfigurement and seeking reliable disease information, as well as facilitating peer support.

A genome-wide association study to detect QTL for commercially important traits in Swiss Large White boars

The improvement of meat quality and production traits has high priority in the pork industry. Many of these traits show a low to moderate heritability and are difficult and expensive to measure. Their improvement by targeted breeding programs is challenging and requires knowledge of the genetic and molecular background. For this study we genotyped 192 artificial insemination boars of a commercial line derived from the Swiss Large White breed using the PorcineSNP60 BeadChip with 62,163 evenly spaced SNPs across the pig genome. We obtained 26 estimated breeding values (EBVs) for various traits including exterior, meat quality, reproduction, and production. The subsequent genome-wide association analysis allowed us to identify four QTL with suggestive significance for three of these traits (p-values ranging from 4.99×10⁻⁶ to 2.73×10⁻⁵). Single QTL for the EBVs pH one hour post mortem (pH1) and carcass length were on pig chromosome (SSC) 14 and SSC 2, respectively. Two QTL for the EBV rear view hind legs were on SSC 10 and SSC 16.

Questionnaire-based study to assess the association between management practices and mastitis within tie-stall and free-stall dairy housing systems in Switzerland.

BACKGROUND Prophylactic measures are key components of dairy herd mastitis control programs, but some are only relevant in specific housing systems. To assess the association between management practices and mastitis incidence, data collected in 2011 by a survey among 979 randomly selected Swiss dairy farms, and information from the regular test day recordings from 680 of these farms was analyzed. RESULTS The median incidence of farmer-reported clinical mastitis (ICM) was 11.6 (mean 14.7) cases per 100 cows per year. The median annual proportion of milk samples with a composite somatic cell count (PSCC) above 200,000 cells/ml was 16.1 (mean 17.3) %. A multivariable negative binomial regression model was fitted for each of the mastitis indicators for farms with tie-stall and free-stall housing systems separately to study the effect of other (than housing system) management practices on the ICM and PSCC events (above 200,000 cells/ml). The results differed substantially by housing system and outcome. In tie-stall systems, clinical mastitis incidence was mainly affected by region (mountainous production zone; incidence rate ratio (IRR) = 0.73), the dairy herd replacement system (1.27) and farmers age (0.81). The proportion of high SCC was mainly associated with dry cow udder controls (IRR = 0.67), clean bedding material at calving (IRR = 1.72), using total merit values to select bulls (IRR = 1.57) and body condition scoring (IRR = 0.74). In free-stall systems, the IRR for clinical mastitis was mainly associated with stall climate/temperature (IRR = 1.65), comfort mats as resting surface (IRR = 0.75) and when no feed analysis was carried out (IRR = 1.18). The proportion of high SSC was only associated with hand and arm cleaning after calving (IRR = 0.81) and beef producing value to select bulls (IRR = 0.66). CONCLUSIONS There were substantial differences in identified risk factors in the four models. Some of the factors were in agreement with the reported literature while others were not. This highlights the multifactorial nature of the disease and the differences in the risks for both mastitis manifestations. Attempting to understand these multifactorial associations for mastitis within larger management groups continues to play an important role in mastitis control programs.

Laparoscopic computer-navigated ablation of liver metastases

Objective In order to benefit from the obvious advantages of minimally invasive liver surgery there is a need to develop high precision tools for intraoperative anatomical orientation, navigation and safety control. In a pilot study we adapted a newly developed system for computer-assisted liver surgery (CALS) in terms of accuracy and technical feasibility to the specific requirements of laparoscopy. Here, we present practical aspects related to laparoscopic computer assisted liver surgery (LCALS). Methods Our video relates to a patient presenting with 3 colorectal liver metastases in Seg. II, III and IVa who was selected in an appropriate oncological setting for LCALS using the CAScination system combined with 3D MEVIS reconstruction. After minimal laparoscopic mobilization of the liver, a 4- landmark registration method was applied to enable navigation. Placement of microwave needles was performed using the targeting module of the navigation system and correct needle positioning was confirmed by intraoperative sonography. Ablation of each lesion was carried out by application of microwave energy at 100 Watts for 1 minute. Results To acquire an accurate (less 0.5 cm) registration, 4 registration cycles were necessary. In total, seven minutes were required to accomplish precise registration. Successful ablation with complete response in all treated areas was assessed by intraoperative sonography and confirmed by postoperative CT scan. Conclusions This teaching video demonstrates the theoretical and practical key points of LCALS with a special emphasis on preoperative planning, intraoperative registration and accuracy testing by laparoscopic methodology. In contrast to mere ultrasound-guided ablation of liver lesions, LCALS offers a more dimensional targeting and higher safety control. This is currently also in routine use to treat vanishing lesions and other difficult to target focal lesions within the liver.

ROBREG: Stata module providing robust regression estimators

robreg provides a number of robust estimators for linear regression models. Among them are the high breakdown-point and high efficiency MM-estimator, the Huber and bisquare M-estimator, and the S-estimator, each supporting classic or robust standard errors. Furthermore, basic versions of the LMS/LQS (least median of squares) and LTS (least trimmed squares) estimators are provided. Note that the moremata package, also available from SSC, is required.

Evolution of the spermadhesin gene family

Spermadhesins belong to a novel family of secretory proteins of the male genital tract. They are major proteins of the seminal plasma and have been found peripherally associated to the sperm surface. So far, they have only been detected in ungulates, specifically in pig, cattle, and horse, respectively. Spermadhesins form a subgroup of the superfamily of proteins with a CUB-domain that has been found in a variety of developmentally regulated proteins. The structure and function of the spermadhesins have been investigated in the pig. They are multifunctional proteins showing a range of ligand-binding abilities, e.g. to carbohydrates, phospholipids, and protease inhibitors, suggesting that they may be involved in different steps of fertilization. We report here the genomic organization of the porcine spermadhesin gene cluster as well as a detailed comparative analysis with respect to other mammalian species. The porcine spermadhesin genes are located on SSC 14q28-q29 in a region syntenic to HSA 10q26. The pig contains five closely linked spermadhesin genes, whereas only two spermadhesin genes are present in the cattle genome. Inactive copies of spermadhesin genes are still detectable in the human, chimp, and dog genome while the corresponding region was lost from the rodent genomes of mouse and rat. Within the pig, the five spermadhesin genes contain both highly diverged and highly conserved regions. Interestingly, the pattern of divergence does not correlate with the position of the exons. Evolutionary analyses suggest that the pattern of diversity is shaped by ancestral variation, recombination, and new mutations.

Home parenteral nutrition is beneficial in systemic sclerosis patients with gastrointestinal dysfunction

OBJECTIVES To assess 12-month changes in nutritional status and quality of life (QoL) in systemic sclerosis (SSc) patients requiring home parenteral nutrition (HPN). METHOD We conducted a retrospective, single-centre database analysis of SSc patients regarding a 12-month period of HPN at an interdisciplinary University Unit/team for nutrition and rheumatic diseases. Nutritional status was analysed by nutritional risk screening (NRS) and body mass index (BMI). QoL was evaluated using Short-Form Health Survey (SF-36) questionnaires. RESULTS Between 2008 and 2013, daily nocturnal HPN was initiated in five consecutive SSc patients (four females and one male, mean age 62.2 years) suffering severe malnutrition due to gastrointestinal tract (GIT) involvement. After 12 months of HPN, the mean NRS score decreased from 4.4 (range 4-5) to 1.4 (range 1-2), the mean BMI increased from 19.1 (range 17.4-20.3) to 21.0 kg/m(2) (range 18.3-23.4). QoL improved in all patients, reflected by the summary of physical components with 33.92 points before vs. 67.72 points after 12 months of HPN, and the summary of mental components with 49.66 points before vs. 89.27 points after 12 months of HPN. Two patients suffered one catheter-related infection each with subsequent surgical removal and reinsertion. CONCLUSIONS HPN is a feasible method for improving anthropometric parameters and QoL in SSc patients severely affected by GIT dysfunction. We recommend HPN in malnourished, catabolic SSc patients unable to otherwise maintain or improve their nutritional status.

Incidence and predictors of cutaneous manifestations during the early course of systemic sclerosis: a 10-year longitudinal study from the EUSTAR database.

OBJECTIVES To longitudinally map the onset and identify risk factors for skin sclerosis and digital ulcers (DUs) in patients with systemic sclerosis (SSc) from an early time point after the onset of Raynaud's phenomenon (RP) in the European Scleroderma Trials and Research (EUSTAR) cohort. METHODS 695 patients with SSc with a baseline visit within 1 year after RP onset were followed in the prospective multinational EUSTAR database. During the 10-year observation period, cumulative probabilities of cutaneous lesions were assessed with the Kaplan-Meier method. Cox proportional hazards regression analysis was used to evaluate risk factors. RESULTS The median modified Rodnan skin score (mRSS) peaked 1 year after RP onset, and was 15 points. The 1-year probability to develop an mRSS ≥2 in at least one area of the arms and legs was 69% and 25%, respectively. Twenty-five per cent of patients developed diffuse cutaneous involvement in the first year after RP onset. This probability increased to 36% during the subsequent 2 years. Only 6% of patients developed diffuse cutaneous SSc thereafter. The probability to develop DUs increased to a maximum of 70% at the end of the 10-year observation. The main factors associated with diffuse cutaneous SSc were the presence of anti-RNA polymerase III autoantibodies, followed by antitopoisomerase autoantibodies and male sex. The main factor associated with incident DUs was the presence of antitopoisomerase autoantibodies. CONCLUSION Early after RP onset, cutaneous manifestations exhibit rapid kinetics in SSc. This should be accounted for in clinical trials aiming to prevent skin worsening.

PSHARE: Stata module to compute and graph percentile shares

-pshare- computes and graphs percentile shares from individual level data. Percentile shares are often used in inequality research to study the distribution of income or wealth. They are defined as differences between Lorenz ordinates of the outcome variable. Technically, the observations are sorted in increasing order of the outcome variable and the specified percentiles are computed from the running sum of the outcomes. Percentile shares are then computed as differences between percentiles, divided by total outcome. pshare requires moremata to be installed on the system; see ssc describe moremata.

TABLETUTORIAL: Stata module to provide tutorial on automated table generation and reporting

-tabletutorial- illustrates how Stata can be used to export statistical results and generate customized reports. Part 1 explains how results from Stata routines can be accessed and how they can be exported using the -file- comand or a wrapper such as, e.g., -mat2txt-. Part 2 shows how model estimation results can be archived using -estwrite- and how models can be tabulated and exported to LaTeX, MS Excel, or MS Word using -estout-. Part 3 illustrates how to set up automatic reports in LaTeX or MS Word. The tutorial is based on a talk given at CEPS/INSTEAD in Luxembourg in October 2008. After install, type -help tabletutorial- to start the tutorial (in Stata 8, type -whelp tabletutorial-). The -mat2txt-, -estwrite-, and -estout- packages, also available from SSC, are required to run the examples.

DIGDIS: Stata module to analyze the distribution of digits

digdis tabulates the distribution of digits of the specified variables, performs goodness-of-fit tests against a reference distribution and, optionally, graphs the distributions. The default is to tabulate the first (nonzero) digit and to test against Benford's law. The moremata package and the mgof package, also available from SSC, are required.

MGOF: Stata module to perform goodness-of-fit tests for multinomial data

mgof computes goodness-of-fit tests for the distribution of a discrete (categorical, multinomial) variable. The default is to perform classical large sample chi-squared approximation tests based on Pearson's X2 statistic and the log likelihood ratio (G2) statistic or a statistic from the Cressie-Read family. Alternatively, mgof computes exact tests using Monte Carlo methods or exhaustive enumeration. A Kolmogorov-Smirnov test for discrete data is also provided. The moremata package, also available from SSC, is required.

KDENS: Stata module for univariate kernel density estimation

kdens produces univariate kernel density estimates and graphs the result. kdens supplements official Stata's kdensity. Important additions are: adaptive (i.e. variable bandwidth) kernel density estimation, several automatic bandwidth selectors including the Sheather-Jones plug-in estimator, pointwise variability bands and confidence intervals, boundary correction for variables with bounded domain, fast binned approximation estimation. Note that the moremata package, also available from SSC, is required.