Estimating Country-Specific Incidence Rates of Rare Cancers: Comparative Performance Analysis of Modeling Approaches Using European Cancer Registry Data.

Estimating incidence of rare cancers is challenging for exceptionally rare entities and in small populations. In a previous study, investigators in the Information Network on Rare Cancers (RARECARENet) provided Bayesian estimates of expected numbers of rare cancers and 95% credible intervals for 27 European countries, using data collected by population-based cancer registries. In that study, slightly different results were found by implementing a Poisson model in integrated nested Laplace approximation/WinBUGS platforms. In this study, we assessed the performance of a Poisson modeling approach for estimating rare cancer incidence rates, oscillating around an overall European average and using small-count data in different scenarios/computational platforms. First, we compared the performance of frequentist, empirical Bayes, and Bayesian approaches for providing 95% confidence/credible intervals for the expected rates in each country. Second, we carried out an empirical study using 190 rare cancers to assess different lower/upper bounds of a uniform prior distribution for the standard deviation of the random effects. For obtaining a reliable measure of variability for country-specific incidence rates, our results suggest the suitability of using 1 as the lower bound for that prior distribution and selecting the random-effects model through an averaged indicator derived from 2 Bayesian model selection criteria: the deviance information criterion and the Watanabe-Akaike information criterion.

Development of an Algorithm for an Automatic Determination of the Soil Field Capacity Using of a Portable Weighing Lysimeter.

The challenge today is to optimize agriculture water consumption and minimize leaching of pollutants in agro-ecosystems in order to ensure a sustainable agriculture. The use of different technologies and the adoption of different irrigation strategies can facilitate efficient fertigation management. In this respect, the determination of soil field capacity point is of utmost importance. The use of a portable weighing lysimeter allows an accurate quantification of crop water consumption and water leaching, as well as the detection of soil field capacity point. In this work, a novel algorithm is developed to obtain the soil field capacity point, in order to give autonomy and objectivity to efficient irrigation management using a portable weighing lysimeter. The development was tested in field grown horticultural crops and proved to be useful for optimizing irrigation management.

Analysis of the Functionality of the Feed Chain in Olive Pitting, Slicing and Stuffing Machines by IoT, Computer Vision and Neural Network Diagnosis.

Olive pitting, slicing and stuffing machines (DRR in Spanish) are characterized by the fact that their optimal functioning is based on appropriate adjustments. Traditional systems are not completely reliable because their minimum error rate is 1-2%, which can result in fruit loss, since the pitting process is not infallible, and food safety issues can arise. Such minimum errors are impossible to remove through mechanical adjustments. In order to achieve this objective, an innovative solution must be provided in order to remove errors at operating speed rates over 2500 olives/min. This work analyzes the appropriate placement of olives in the pockets of the feed chain by using the following items: (1) An IoT System to control the DRR machine and the data analysis. (2) A computer vision system with an external shot camera and a LED lighting system, which takes a picture of every pocket passing in front of the camera. (3) A chip with a neural network for classification that, once trained, classifies between four possible pocket cases: empty, normal, incorrectly de-stoned olives at any angles (also known as a "boat"), and an anomalous case (foreign elements such as leafs, small branches or stones, two olives or small parts of olives in the same pocket). The main objective of this paper is to illustrate how with the use of a system based on IoT and a physical chip (NeuroMem CM1K, General Vision Inc.) with neural networks for sorting purposes, it is possible to optimize the functionality of this type of machine by remotely analyzing the data obtained. The use of classifying hardware allows it to work at the nominal operating speed for these machines. This would be limited if other classifying techniques based on software were used.

Ethanol-induced symptoms in patients receiving gemcitabine diluted from a concentrate for solution for infusion containing ethanol.

Purpose Ethanol as an excipient is used to enhance the solubility of gemcitabine, but, sometimes, the dose of ethanol a patient may be given is much higher than the dose considered to be toxic. We aimed to assess ethanol-related symptoms and signs in patients receiving two formulations of gemcitabine, with and without ethanol. Methods A randomized double blind cross-over study was conducted. All patients being treated with gemcitabine received two consecutive doses of the drug, one diluted from a concentrate for solution for infusion (CSI) containing ethanol and the other from a lyophilized powder, without ethanol, which was used as control group. After each administration, patients were surveyed in order to assess the appearance of any alcohol consumption symptoms (dizziness, difficulty speaking, unsteady walking, impaired balance, mood swings and slower reactions). Widmark formula and the amount of alcohol measured on the breath (breathalyzer) were used to estimate blood alcohol concentration. Results Twenty-four patients received both formulations and were included in the analysis. Mean administered ethanol dose when prepared from CSI was 15.81 ± 2.25 g (mean ± SD). When using CSI gemcitabine, estimated blood ethanol concentration was 0.033 g/dl according to Widmark formula and 0.02 g/dl according to breathalyzer results. Although overall incidence of symptoms was higher in the study group, the difference was not statistically significant (33% vs. 25%; p = 0.53). Conclusions These findings prove there is no difference in the onset of ethanol related symptoms when using CSI instead of lyophilized powder on the reconstitution of gemcitabine.

Comparison of menstrual disorders in hospital nursing staff according to shift work pattern.

AIM AND OBJECTIVE: To assess the association between work in a rotating shift schedule and menstruation characteristics among nurse staff in a prospective study. BACKGROUND: Rotating shifts have been linked to alterations in the reproductive cycle. In the case of menstrual alterations, the conclusions are not clear. DESIGN: Prospective epidemiological study with follow-up over four months. METHOD: All the female nurse staff (<40 years) in a hospital were interviewed, collecting sociodemographic and employment information. They were given a menstrual diary to keep a record of their shifts and characteristics of their menstruation (duration, amount of blood, dysmenorrhoea). They had two types of shifts: (1) Rotating shift schedule (two mornings, two afternoons, one night and two days off) including morning shifts (8:00-15:00), afternoon/evening shifts (15:00-22:00) and night shifts (22:00-8:00), and (2) Day shift schedule including morning shifts (8:00-15:00) and/or afternoon/evening shifts (15:00-22:00). The crude and adjusted odds ratios with 95% confidence interval were calculated using logistic generalised estimating equations (GEE) taking into account the correlations of multiple cycles per worker. RESULTS: One hundred and thirteen workers on the rotating shift and 75 on the day shift participated, and information from 730 menstrual cycles were obtained. There were no differences in prolonged duration, dysmenorrhoea, prolonged duration dysmenorrhoea and excessive bleeding among nurses on rotating shift compared to those on the day shift. For prolonged duration of menstruation, workers with more than five years on the rotating shift showed a slightly lower (nonsignificant) risk compared with those with <5 years. CONCLUSIONS: Nurse staff on the rotating shift did not show increased risk of having menstrual disorders comparing with day staff. RELEVANCE TO CLINICAL PRACTICE: Shifts with short rotation cycles and a progressive sequence do not appear to cause menstrual disorders in nurse staff who work rotating shifts.

Informal employment and health status in Central America.

BACKGROUND: Informal employment is assumed to be an important but seldom studied social determinant of health, affecting a large number of workers around the world. Although informal employment arrangements constitute a permanent, structural pillar of many labor markets in low- and middle-income countries, studies about its relationship with health status are still scarce. In Central America more than 60% of non-agricultural workers have informal employment. Therefore, we aimed to assess differences in self-perceived and mental health status of Central Americans with different patterns of informal and formal employment. METHODS: Employment profiles were created by combining employment relations (employees, self-employed, employers), social security coverage (yes/no) and type of contract--only for employees--(written, oral, none), in a cross-sectional study of 8,823 non-agricultural workers based on the I Central American Survey of Working Conditions and Health of 2011. Using logistic regression models, adjusted odds ratios (aOR) by country, age and occupation, of poor self-perceived and mental health were calculated by sex. Different models were first fitted separately for the three dimensions of employment conditions, then for employment profiles as independent variables. RESULTS: Poor self-perceived health was reported by 34% of women and 27% of men, and 30% of women and 26% of men reported poor mental health. Lack of social security coverage was associated with poor self-perceived health (women, aOR: 1.38, 95% CI: 1.13-1.67; men, aOR: 1.36, 95% CI: 1.13-1.63). Almost all employment profiles with no social security coverage were significantly associated with poor self-perceived and poor mental health in both sexes. CONCLUSIONS: Our results show that informal employment is a significant factor in social health inequalities among Central American workers, which could be diminished by policies aimed at increasing social security coverage.

Labour market trajectories and early retirement due to permanent disability: a study based on 14 972 new cases in Spain.

BACKGROUND: To analyse the impact of labour market trajectory indicators on early retirement, measured by age at onset of permanent disability (PD). METHODS: Four labour market trajectory indicators were reconstructed in 14 972 new cases of PD recognized between 2004 and 2010: (1) number of employment contracts, (2) number of unemployment periods, (3) number of periods without social security affiliation and (4) percentage of time spent in inactivity. The outcome was measured as the age at onset of PD. Median differences and 95% confidence intervals (95%CI) were compared using a median regression. Analyses were stratified by sex and adjusted for occupational category and total time elapsed between the beginning of working life and the age at onset of PD: separately for each labour market indicator, and adjusted for each other. RESULTS: In men, the age at the onset of PD for workers with 15 or more employment contracts decreased by 4.8 years; and for workers with five or more periods without affiliation it decreased by 4.6 years. In women, the corresponding decreases were 5.8 years for 15 or more contracts and 7.2 years for five or more unaffiliated periods. The results for four indicators slightly changed when they were mutually adjusted. CONCLUSIONS: Poor employment conditions, such as having a high number of periods without affiliation, a high number of contracts (in men) and a higher percentage of inactive time (in women) are associated with early retirement due to PD.

From the boom to the crisis: changes in employment conditions of immigrants in Spain and their effects on mental health.

BACKGROUND: Migrant workers have been one of the groups most affected by the economic crisis. This study evaluates the influence of changes in employment conditions on the incidence of poor mental health of immigrant workers in Spain, after a period of 3 years, in context of economic crisis. METHODS: Follow-up survey was conducted at two time points, 2008 and 2011, with a reference population of 318 workers from Colombia, Ecuador, Morocco and Romania residing in Spain. Individuals from this population who reported good mental health in the 2008 survey (n = 214) were interviewed again in 2011 to evaluate their mental health status and the effects of their different employment situations since 2008 by calculating crude and adjusted odds ratios (aORs) for sociodemographic and employment characteristics. FINDINGS: There was an increased risk of poor mental health in workers who lost their jobs (aOR = 3.62, 95%CI: 1.64-7.96), whose number of working hours increased (aOR = 2.35, 95%CI: 1.02-5.44), whose monthly income decreased (aOR = 2.75, 95%CI: 1.08-7.00) or who remained within the low-income bracket. This was also the case for people whose legal status (permission for working and residing in Spain) was temporary or permanent compared with those with Spanish nationality (aOR = 3.32, 95%CI: 1.15-9.58) or illegal (aOR = 17.34, 95%CI: 1.96-153.23). In contrast, a decreased risk was observed among those who attained their registration under Spanish Social Security system (aOR = 0.10, 95%CI: 0.02-0.48). CONCLUSION: There was an increase in poor mental health among immigrant workers who experienced deterioration in their employment conditions, probably influenced by the economic crisis.

Myotonometry in machinery operators and its relationship with postural ergonomic risk.

OBJECTIVES: To analyze the association between occupational ergonomic risk, personal characteristics, and working conditions with the biomechanical properties of stiffness and muscular tone in the paravertebral muscles of electric pallet jack and forklift operators in the industrial sector. METHODS: A total of 75 industrial sector machine operators were evaluated in 2021. Personal characteristics and working conditions were assessed through a questionnaire. Ergonomic risk was assessed using the Rapid Entire Body Assessment (REBA) method, and biomechanical properties of stiffness and muscular tone were obtained using the Myoton Pro device. Stiffness in paravertebral muscles was compared based on the operated machine and observed ergonomic risk. A multilevel linear regression model was employed to quantify the relationship, with mean differences and 95% CI calculated. RESULTS: Very high ergonomic risk was found in 75% of the electric pallet truck drivers. In this group with the highest ergonomic risk, an association between biomechanical properties and older workers was observed. Additionally, among electric pallet truck drivers, stiffness (mean difference 335.9 N/m, 95% CI: 46.4 (3.4 to 110.0), P < 0.05) and paravertebral muscle tone (mean difference 17.5 Hz, 95% CI: 1.4 (0.1 to 3.4), P < 0.05) showed statistically significant differences in the very high ergonomic risk category compared to the high-risk category. No significant differences were observed in any of the analyzed variables among forklift drivers. CONCLUSIONS: Workers operating electric pallet trucks with very high ergonomic risk according to the REBA method and aged over 40 yr are associated with increased muscle stiffness and tone.

Dynamic Non-Covalent Exchange Intrinsic Self-Healing at 20 °C Mechanism of Polyurethane Induced by Interactions among Polycarbonate Soft Segments.

Two polyurethanes (PUs) were similarly synthesized by reacting a cycloaliphatic isocyanate with 1,4-butanediol and two polyols of different nature (polyester, polycarbonate diol) with molecular weights of 1000 Da. Only the PU synthesized with polycarbonate diol polyol (YCD) showed intrinsic self-healing at 20 °C. For assessing the mechanism of intrinsic self-healing of YCD, a structural characterization by molecular weights determination, infrared and X-ray photoelectronic spectroscopies, differential scanning calorimetry, X-ray diffraction, thermal gravimetric analysis, and dynamic mechanical thermal analysis was carried out. The experimental evidence concluded that the self-healing at 20 °C of YCD was due to dynamic non-covalent exchange interactions among the polycarbonate soft segments. Therefore, the chemical nature of the polyol played a key role in developing PUs with intrinsic self-healing at 20 °C.

Predicting the change in breast cancer deaths in Spain by 2019: a Bayesian approach.

BACKGROUND: Breast cancer mortality rates have been decreasing in Spain since 1992. Recent changes in demography, breast cancer therapy, and early detection of breast cancer may change this trend. METHODS: Using breast cancer mortality data from years 1990 to 2009, we sought to predict the changes in the burden of breast cancer mortality during the years 2005-2019 through a Bayesian age-period-cohort model. The net change in the number of breast cancer deaths between the periods of 2015-2019 and 2005-2009 was separated into changes in population demographics and changes in the risk of death from breast cancer. RESULTS: During the period 1990-2009, breast cancer mortality rates decreased (age-standardized rates per 100,000 women-years 50.6 in 1990-1994 vs. 41.1 in 2005-2009), whereas the number of breast cancer deaths increased (28,149 in 1990-1994; 29,926 in 2005-2009). There was a decrease in the number of cases among women 45-64 years of age (10,942 in 1990-1994; 8,647 in 2005-2009). Changes in population demographics contribute to a total increase of 12.5-12.8% comparing periods 2005-2009 versus 2015-2019, whereas changes in the risk of death from breast cancer contribute to a reduction of 12.9-13.7%. We predict a net decline of 0.1-1.2% in the absolute number of breast cancer deaths comparing these time periods. CONCLUSIONS: The decrease in the risk of death from breast cancer may exceed the projected increase in deaths from growing population size and aging in Spain. These changes may also explain the decrease in the absolute number of breast cancer deaths in Spain since 2005.

Heterogeneity and event dependence in the analysis of sickness absence.

BACKGROUND: Sickness absence (SA) is an important social, economic and public health issue. Identifying and understanding the determinants, whether biological, regulatory or, health services-related, of variability in SA duration is essential for better management of SA. The conditional frailty model (CFM) is useful when repeated SA events occur within the same individual, as it allows simultaneous analysis of event dependence and heterogeneity due to unknown, unmeasured, or unmeasurable factors. However, its use may encounter computational limitations when applied to very large data sets, as may frequently occur in the analysis of SA duration. METHODS: To overcome the computational issue, we propose a Poisson-based conditional frailty model (CFPM) for repeated SA events that accounts for both event dependence and heterogeneity. To demonstrate the usefulness of the model proposed in the SA duration context, we used data from all non-work-related SA episodes that occurred in Catalonia (Spain) in 2007, initiated by either a diagnosis of neoplasm or mental and behavioral disorders. RESULTS: As expected, the CFPM results were very similar to those of the CFM for both diagnosis groups. The CPU time for the CFPM was substantially shorter than the CFM. CONCLUSIONS: The CFPM is an suitable alternative to the CFM in survival analysis with recurrent events, especially with large databases.

Psychological and culturally-influenced risk factors for the incidence and persistence of low back pain and associated disability in Spanish workers: findings from the CUPID study.

OBJECTIVE: To assess the importance of psychological and culturally-influenced factors as predictors of low back pain (LBP) incidence and persistence in Spanish workers. METHODS: As part of the international Cultural and Psychosocial Influences in Disability (CUPID) study, 1105 Spanish nurses and office workers answered questions at baseline about LBP in the past month and past year, associated disability, occupational lifting, smoking habits, health beliefs, mental health, and distress from common somatic symptoms. At 12-month follow-up, they were asked about LBP and associated disability in the past month. Associations with LBP incidence and persistence were assessed by log binomial regression, and characterised by prevalence rate ratios (PRRs) with associated 95% CIs. RESULTS: 971 participants (87.9%) completed follow-up. Among 579 with no LBP at baseline, 22.8% reported LBP at follow-up. After adjustment for sex, age and occupation, new LBP was predicted by poor mental health (PRR 1.5, 95% CI 1.0 to 2.2), somatising tendency (PRR 1.8, 95% CI 1.2 to 2.7) and presence of LBP for >1 month in the year before baseline (PRR 4.7, 95% CI 3.1 to 6.9). Among 392 subjects who had LBP at baseline, 59.4% reported persistence at follow-up, which was associated with presence of symptoms for >1 month in the 12 months before baseline (PRR 1.4, 95% CI 1.2 to 1.7) and more weakly with somatising tendency, and with adverse beliefs about LBP work-relatedness and prognosis. CONCLUSIONS: In Spain, as in northern European countries, psychological and culturally-influenced factors have an important role in LBP development and persistence.

International variation in absence from work attributed to musculoskeletal illness: findings from the CUPID study.

OBJECTIVES: To quantify the variation in rates of absence due to musculoskeletal pain across 47 occupational groups (mostly nurses and office workers) from 18 countries, and to explore personal and group-level risk factors that might explain observed differences. METHODS: A standardised questionnaire was used to obtain information about musculoskeletal pain, sickness absence and possible risk factors in a cross-sectional survey of 12 416 workers (92-1017 per occupational group). Additionally, group-level data on socioeconomic variables, such as sick pay and unemployment rates, were assembled by members of the study team in each country. Associations of sickness absence with risk factors were examined by Poisson regression. RESULTS: Overall, there were more than 30-fold differences between occupational groups in the 12-month prevalence of prolonged musculoskeletal sickness absence, and even among office workers carrying out similar occupational tasks, the variation was more than tenfold. Personal risk factors included older age, lower educational level, tendency to somatise, physical loading at work and prolonged absence for non-musculoskeletal illness. However, these explained little of the variation between occupational groups. After adjustment for individual characteristics, prolonged musculoskeletal sickness absence was more frequent in groups with greater time pressure at work, lower job control and more adverse beliefs about the work-relatedness of musculoskeletal disorders. CONCLUSIONS: Musculoskeletal sickness absence might be reduced by eliminating excessive time pressures in work, maximising employees' responsibility and control and providing flexibility of duties for those with disabling symptoms. Care should be taken not to overstate work as a cause of musculoskeletal injury.

Understanding the Interactions between Soft Segments in Polyurethanes: Structural Synergies in Blends of Polyester and Polycarbonate Diol Polyols.

There are no previous studies on the interactions between polyols of different nature as a model for understanding the interactions between soft segments in PUs. In this study, different blends of two polyols of different natures (polyester-PE, and polycarbonate diol-CD) and similar molecular weights were prepared and their structural, thermal, surface, viscoelastic, and self-adhesion properties were assessed. Different experimental techniques were used: infrared spectroscopy (ATR-IR), differential scanning calorimetry (DSC), X-ray diffraction, thermal gravimetric analysis (TGA), and plate-plate rheology. PE showed a larger number of structural repeating units and a higher number of polar groups than CD, but the carbonate-carbonate interactions in CD were stronger than the ester-ester interactions in PE. The blending of CD and PE imparted synergic structural properties, particularly in the blends containing less than 50 wt.% PE, they were associated with the disrupt of the carbonate-carbonate interactions in CD and the formation of new ester-carbonate and hydroxyl-carbonate interactions. CD + PE blends with less than 50 wt.% PE exhibited higher glass transition temperatures, a new diffraction peak at 2θ = 24°, one additional thermal degradation at 426-436 °C, and a less-steep decline of the storage moduli. Furthermore, the different interactions between the polyol chains in the blends were also evidenced on their surface properties, and all CD + PE blends showed self-adhesion properties which seemed related to the existence of ester-carbonate and carbonate-carbonate interactions.

Innovative Device and Procedure for In Situ Quantification of the Self-Healing Ability and Kinetics of Self-Healing of Polymeric Materials.

A new device and procedure for the in situ quantification of the extent of the self-healing and the kinetics of self-healing of polymeric materials were proposed. The device consisted of flowing an inert gas below the sample placed in a hermetically closed chamber. When the sample was perforated/damaged, the gas passed through the hole made in the polymeric material and the gas flow rate declined as the self-healing was produced. Once the gas flow rate stopped, the self-healing was completed. The proposed method was simple, quick, and reproducible, and several in situ self-healing experiments at different temperatures could be performed in the same sample. As a proof of concept, the new device and method have been used for measuring the self-healing ability of different polyurethanes.

Inference on the Genetic Architecture of Breast Cancer Risk.

BACKGROUND: What are the major determinants of women's breast cancer risk? Rare mutations such as those in the BRCA1/2 genes, polygenic scores of common alleles identified by genome-wide association studies, or nongenetic factors? METHODS: The population-based Nordic Twin Study of Cancer, with 3,933 breast cancer cases among 21,054 monozygotic (MZ) and 30,939 dizygotic (DZ) female twin pairs, provides three key clues to this question: (i) the average lifetime risk, approximately 8%, does not differ by twin zygosity; (ii) the mean time interval between diagnoses when both twins develop disease (i.e., disease concordance) also does not differ by zygosity; but, (iii) conditioning on one twin having developed disease, the incidence rate in the co-twin is approximately 1% per year if the pair is MZ and 0.5% per year if DZ. RESULTS: Assuming that nongenetic risk factors are shared similarly between twins regardless of zygosity, we can draw two conclusions from (i) to (iii). CONCLUSIONS: First, (i) and (iii) imply that the chief determinant of risk is in the germline DNA, because the conditional incidence rate is several-fold higher than the average risk (8% lifetime) in MZ twins but only half as much in DZ twins. Second, the seeming inconsistency between the two-fold conditional incidence rate (iii) and the equality of the mean inter-twin disease intervals in disease concordance (ii) can be resolved if the risk factors in the germline DNA are rare variants, not common variants. IMPACT: This paper details simple deductive reasoning for these conclusions and draws a critical inference regarding breast cancer etiology. See related In the Spotlight, p. 1477.

Comparison of 2D and 3D convolutional neural networks in hyperspectral image analysis of fruits applied to orange bruise detection.

Recent advances in hyperspectral imaging (HSI) have demonstrated its ability to detect defects in fruit that may not be visible in RGB images. HSIs can be considered 3D images containing two spatial dimensions and one spectral dimension. Therefore, the first question that arises is how to process this type of information, either using 2D or 3D models. In this study, HSI in the 550-900 nm spectral range was used to detect bruising in oranges. Sixty samples of Thompson oranges were subjected to a mechanical bruising process, and HSIs were taken at different time intervals: before bruising, and 8 and 16 h after bruising. The samples were then classified using two convolutional neural network (CNN) models, a shallow 7-layer network (CNN-7) and a deep 18-layer network (CNN-18). In addition, two different input processing approaches are used: using 2D information from each band, and using the full 3D data from each HSI. The 3D models were the most accurate, with 94% correct classification for 3D-CNN-18, compared to 90% for 3D-CNN-7, and less than 83% for the 2D models. Our study suggests that 3D HSI may be a more effective technique for detecting fruit bruising, allowing the development of a fast, accurate, and nondestructive method for fruit sorting. PRACTICAL APPLICATION: Orange bruises can reduce the market value of food, which is why the food processing industry needs to carry out quality inspections. An effective way to perform this inspection is by using hyperspectral images that can be processed with 2D or 3D models, either with deep or shallow neural networks. The results of the comparison performed in this work can be useful for the development of more accurate and efficient bruise detection methods for fruit inspection.

Quality of Life and Related Factors in Patients Undergoing Renal Replacement Therapy at the Hospital General Universitario de Ciudad Real: Cross Sectional Descriptive Observational Study.

Background: The aim of the present study was to determine the relationship between the quality of life of patients on renal replacement therapy and the Symptomatology they presented. Methods: Cross-sectional descriptive observational study: quality of life was assessed by means of the KDQOL-SF questionnaire, Symptomatology by the Palliative Care Outcome Scale-Symptoms Renal questionnaire, and sociodemographic and clinical data of patients in the Hemodialysis Unit (HD) of the Hospital General Universitario de Ciudad Real (HGUCR) by means of personal interviews and clinical history data. Results: A total of 105 patients participated in the study, 63 (60.57%) men and 42 (40.38%) female. The mean age was 62.5 dt (14.84) years. Of these, 43 (41%) were on peritoneal dialysis and 62 (59%) were on hemodialysis. The mean quality of life score was 44.89 dt (9.73). People on hemodialysis treatment presented a better quality of life than those on PD treatment: 49.66 dt (9.73) vs. 38.13 dt (9.12) t = 7.302, p < 0.001. A higher score on the symptom impairment scale (post-renal) correlated with worse scores on the total quality of life score: r = -0.807, p < 0.001. It was observed that those who improved the distress symptom scored better on the total quality of life questionnaire: 50.22 dt (8.44) vs. 46.42 dt (9.05), p < 0.001. Conclusions: The presence and management of the large number of symptoms that appear as side effects, such as distress or depression, could determine changes in some components of quality of life.