Hematological Parameters and Comorbidities in COVID-19: Insights into Clinical Profiles and Outcome Predictors.

BACKGROUND: The global pandemic, known as the coronavirus disease 2019 (COVID-19) and caused by the severe acute respiratory syndrome, coronavirus 2 (SARS-CoV-2), poses a significant threat, particularly to individuals with comorbidities such as hypertension, chronic obstructive pulmonary disease (COPD), diabetes, HIV, cardiovascular disease (CVD), and cancer. METHODS: This descriptive retrospective study investigates the impact of comorbidities on COVID-19-positive patients. The study includes individuals that were tested positive for SARS-CoV-2 via polymerase chain reaction at the Security Forces Hospital, Makkah, KSA, between February, 2022, and June, 2022. A total of 208 patients (107 males, 101 females) were examined, and the laboratory results revealed normal parameters. RESULTS: An analysis indicates that 86.5% of the patients were discharged, 2.9% remained hospitalized, and 10.6% succumbed to the disease, indicating a 10.6% mortality rate among comorbid COVID-19-positive patients. Notably, the study identifies specific comorbidities (chronic kidney disease, diabetes mellitus, hypertension) and changes in laboratory parameters (red blood cells, hemoglobin, C-reactive protein, white blood cells, ferritin, D-dimer, ALT, troponin, LDH, neutrophils) associated with ICU admission during hospitalization. CONCLUSIONS: This study underscores the critical impact of comorbidities, such as chronic kidney disease, diabetes, and hypertension, on the clinical outcomes of COVID-19-positive patients. The identification of specific laboratory parameters linked with ICU admission provides valuable insights for risk stratification and tailored management strategies.

JMJD6 Autoantibodies as a Potential Biomarker for Inflammation-Related Diseases.

Inflammation is closely associated with cerebrovascular diseases, cardiovascular diseases, diabetes, and cancers, and it is accompanied by the development of autoantibodies in the early stage of inflammation-related diseases. Hence, it is meaningful to discover novel antibody biomarkers targeting inflammation-related diseases. In this study, Jumonji C-domain-containing 6 (JMJD6) was identified by the serological identification of antigens through recombinant cDNA expression cloning. In particular, JMJD6 is an antigen recognized in serum IgG from patients with unstable angina pectoris (a cardiovascular disease). Then, the serum antibody levels were examined using an amplified luminescent proximity homogeneous assay-linked immunosorbent assay and a purified recombinant JMJD6 protein as an antigen. We observed elevated levels of serum anti-JMJD6 antibodies (s-JMJD6-Abs) in patients with inflammation-related diseases such as ischemic stroke, acute myocardial infarction (AMI), diabetes mellitus (DM), and cancers (including esophageal cancer, EC; gastric cancer; lung cancer; and mammary cancer), compared with the levels in healthy donors. The s-JMJD6-Ab levels were closely associated with some inflammation indicators, such as C-reactive protein and intima-media thickness (an atherosclerosis index). A better postoperative survival status of patients with EC was observed in the JMJD6-Ab-positive group than in the negative group. An immunohistochemical analysis showed that JMJD6 was highly expressed in the inflamed mucosa of esophageal tissues, esophageal carcinoma tissues, and atherosclerotic plaques. Hence, JMJD6 autoantibodies may reflect inflammation, thereby serving as a potential biomarker for diagnosing specific inflammation-related diseases, including stroke, AMI, DM, and cancers, and for prediction of the prognosis in patients with EC.

Association between blood urea nitrogen levels and diabetic retinopathy in diabetic adults in the United States (NHANES 2005-2018).

Objective: To investigate the association between blood urea nitrogen (BUN) levels and diabetic retinopathy (DR) in adults with diabetes mellitus (DM). Methods: Seven cycles of cross-sectional population information acquired from NHANES(national health and nutrition examination surveys) 2005-2018 were collected, from which a sample of diabetic adults was screened and separated into two groups based on whether or not they had DR, followed by weighted multivariate regression analysis. This study collected a complete set of demographic, biological, and sociological risk factor indicators for DR. Demographic risk factors comprised age, gender, and ethnicity, while biological risk factors included blood count, blood pressure, BMI, waist circumference, and glycated hemoglobin. Sociological risk factors included education level, deprivation index, smoking status, and alcohol consumption. Results: The multiple regression model revealed a significant connection between BUN levels and DR [odds ratio =1.04, 95% confidence interval (1.03-1.05), p-value <0.0001],accounting for numerous variables. After equating BUN levels into four groups, multiple regression modeling showed the highest quartile (BUN>20 mg/dl) was 2.22 times more likely to develop DR than the lowest quartile [odds ratio =2.22, 95% confidence interval (1.69-2.93), p- value <0.0001]. Subgroup analyses revealed that gender, race, diabetes subtype, and duration of diabetes had a regulating effect on the relationship between BUN and DR. Conclusion: BUN levels were related with an increased prevalence of DR, particularly in individuals with BUN >20 mg/dl. These findings highlight the significance of BUN level in assessing the risk of DR.

Association of neutrophil-lymphocyte ratio with all-cause and cardiovascular mortality in US adults with diabetes and prediabetes: a prospective cohort study.

BACKGROUND: The neutrophil-lymphocyte ratio (NLR) is a novel hematological parameter to assess systemic inflammation. Prior investigations have indicated that an increased NLR may serve as a potential marker for pathological states such as cancer and atherosclerosis. However, there exists a dearth of research investigating the correlation between NLR levels and mortality in individuals with diabetes and prediabetes. Consequently, this study aims to examine the connection between NLR and all-cause as well as cardiovascular mortality in the population of the United States (US) with hyperglycemia status. METHODS: Data were collected from a total of 20,270 eligible individuals enrolled for analysis, spanning ten cycles of the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. The subjects were categorized into three groups based on tertiles of NLR levels. The association of NLR with both all-cause and cardiovascular mortality was evaluated using Kaplan-Meier curves and Cox proportional hazards regression models. Restricted cubic splines were used to visualize the nonlinear relationship between NLR levels and all-cause and cardiovascular mortality in subjects with diabetes after accounting for all relevant factors. RESULTS: Over a median follow-up period of 8.6 years, a total of 1909 subjects with diabetes died, with 671 deaths attributed to cardiovascular disease (CVD). And over a period of 8.46 years, 1974 subjects with prediabetes died, with 616 cases due to CVD. The multivariable-adjusted hazard ratios (HRs) comparing high to low tertile of NLR in diabetes subjects were found to be 1.37 (95% CI, 1.19-1.58) for all-cause mortality and 1.63 (95% CI, 1.29-2.05) for CVD mortality. And the correlation between high to low NLR tertile and heightened susceptibility to mortality from any cause (HR, 1.21; 95% CI, 1.03-1.43) and CVD mortality (HR, 1.49; 95% CI, 1.08-2.04) remained statistically significant (both p-values for trend < 0.05) in prediabetes subjects. The 10-year cumulative survival probability was determined to be 70.34%, 84.65% for all-cause events, and 86.21%, 94.54% for cardiovascular events in top NLR tertile of diabetes and prediabetes individuals, respectively. Furthermore, each incremental unit in the absolute value of NLR was associated with a 16%, 12% increase in all-cause mortality and a 25%, 24% increase in cardiovascular mortality among diabetes and prediabetes individuals, respectively. CONCLUSIONS: The findings of this prospective cohort study conducted in the US indicate a positive association of elevated NLR levels with heightened risks of overall and cardiovascular mortality among adults with diabetes and prediabetes. However, potential confounding factors for NLR and the challenge of monitoring NLR's fluctuations over time should be further focused.

Effect of glycotoxicity and lipotoxicity on carbohydrate antigen 19 - 9 in the patients with diabetes.

OBJECTIVES: In comparison to the subjects without diabetes, a greater concentration of serum carbohydrate antigen 19 - 9 (CA 19 - 9) was observed in the subjects with diabetes. Nevertheless, since the occurrence of abnormal CA 19 - 9 is not widespread among the whole diabetic population, this phenomenon has not attracted enough attention. The prevalence of abnormal CA 19 - 9 in hospitalized patients with diabetes was the focus of our research. METHOD: A total of 385 subjects with diabetes and 200 controls were enrolled and all had been tested the CA19-9 levels. Cases of cancers were excluded through examination and followup for 1 year. RESULTS: We found that the rate of patients with abnormal CA19-9 level was 8.3%. The rate of patients with abnormal CA19-9 level was 14.0% in the HbA1c ≥ 9% group, and 3.0% in the HbA1c < 9% group, 2.5% in the control group. There was no significant difference in the HbA1c < 9% group and the control group. A significant correlation between serum CA19-9 and both HbA1c and total cholesterol was observed, yet no difference in CRP level was observed between subjects with normal CA19-9 level and subjects with abnormal CA19-9 level. However, a significant difference in fasting C-peptide levels was observed between the two groups, p = 0.039. CONCLUSION: The percentage of patients with diabetes exhibiting elevated CA19-9 level is 14% in the HbA1c ≥ 9% diabetic patients, much higher than expected. The underlying mechanism may be related to islet injury caused by glycotoxicity and lipotoxicity. STRENGTHS AND LIMITATIONS OF THE STUDY: We studied the rate of hospitalized diabetic patients with elevated CA 19 - 9 which were characterized with poorly controlled blood glucose. We found that the elevation of CA 19 - 9 was unexpectedly high in diabetic inpatients without development to cancer. The limitation of this study is that the underlying mechanism is not sufficiently studied.

An explainable stacking-based approach for accelerating the prediction of antidiabetic peptides.

Diabetes is a chronic disease that is characterized by high blood sugar levels and can have several harmful outcomes. Hyperglycemia, which is defined by persistently elevated blood sugar, is one of the primary concerns. People can improve their overall well-being and get optimal health outcomes by prioritizing diabetes control. Although the use of experimental approaches in diabetes treatment is cost-effective, it necessitates the development of many strategies for evaluating the efficacy of therapies. Researchers can quickly create new strategies for managing diabetes and get vital insights by enabling virtual screening with computational tools and procedures. In this study, we suggest a predictor named STADIP (STacking-based predictor for AntiDiabetic Peptides), a new method to predict antidiabetic peptides (ADPs) utilizing a stacked-based ensemble approach. It uses 12 different feature encodings and seven machine-learning techniques to construct 84 baseline models. The impacts of various baseline models on ADP prediction were then thoroughly examined. A two-step feature selection method, eXtreme Gradient Boosting with Sequential Forward Selection (XGB-SFS), was employed to determine the optimal number, out of 84 PFs to enhance predictive performance. Subsequently, utilizing the meta-predictor approach, 45 selected PFs were integrated into an XGB classifier to formulate the final hybrid model. The proposed method demonstrated superior predictive capabilities compared to constituent baseline models, as evidenced by evaluations on both cross-validation and independent tests. During extensive independent testing, STADIP achieved promising performance with accuracy and mathew's correlation coefficient of 0.954 and 0.877, respectively. It is anticipated that it will be useful tool in helping the scientific community to identify new antidiabetic proteins.

Effect of non-surgical periodontal therapy on hemoglobin A1c in periodontitis patients without diabetes mellitus: A systematic review and meta-analysis.

OBJECTIVES: This systematic review was aimed to evaluate the effect of non-surgical periodontal therapy (NSPT) on hemoglobin A1c (HbA1c) in periodontitis patients without diabetes mellitus (DM). DATA/SOURCES: The present systematic review and meta-analysis were performed through searching the following electronic databases: EMBASE, MEDLINE, Web of Science, Cochrane Library and Open GREY. Interventional studies of periodontitis patients without DM were investigated. HbA1c changes in these patients before and after NSPT were analyzed. Subgroup analysis and sensitivity analysis were employed to identify sources of heterogeneity. STUDY SELECTION: Three reviewers independently selected the eligible studies by screening the titles and abstract. Then, a full-text analysis was performed. The reasons for excluding studies were recorded. Any disagreements were settled by discussion with a fourth reviewer. All the four reviewers extracted and crosschecked the data, and disagreements were resolved by discussion. There are 21 case-series studies (self-controlled studies) and 1 non-randomized interventional studies (NRIs) were included. RESULTS: For periodontitis patients without DM, a total of 469 individuals from 22 studies were enrolled. The pooled analysis demonstrated that it was significantly changed in HbA1c levels at 3-month follow-up (0.16 with 95 % CI 0.04, 0.27; P = 0.008), and 6-month follow-up (0.17 % with 95 % CI 0.08, 0.27; P < 0.001) compared with baseline. Smoking, gender, experience of periodontal therapy and HbA1c value at baseline could be the sources of heterogeneity. CONCLUSIONS: NSPT is potentially beneficial for the management of HbA1c in periodontitis patients with high risks of DM. However, high-quality randomized controlled trials are still necessary to confirm these conclusions. CLINICAL SIGNIFICANCE: The systemic review evaluated the effect of NSPT on HbA1c in periodontitis patients without DM. The analysis may be beneficial to the management and control of the high risks of DM in periodontitis patients.

Obesity modifies the association between diabetes and iron biomarkers and red cell indices in reproductive-aged women in the United States.

Obesity and diabetes are associated with impaired iron metabolism. We aimed to examine the independent relationship between diabetes and iron after controlling for body weight (or obesity) in women aged 20-49 years. The National Health and Nutrition Examination Survey data from 2015 to 2018 were used in this investigation. Body composition data, HbAc1, iron biomarkers (serum ferritin (SF), soluble transferrin receptor (sTfR), and body iron index (BII)), mean corpuscular volume (MCV), mean hemoglobin concentration (MCH), red cell distribution width (RDW), and hemoglobin were used. Linear regression models were used to examine how and to what extent body mass index (BMI) modified the relationship between diabetes and iron status biomarkers. A total of 1834 women aged 20-49 were included in the analysis with a mean (SD) age of 32 .2 ± 6.1 years and BMI of 29.5 ± 6.9 kg/m2. The mean SF (p = 0.014) and BII (p < 0.001) were lower, while sTfR (p < 0.001) was higher in women with diabetes than those with no diabetes. Mean estimates for MCV and MCH were lower, while RDW (p = 0.001) was higher in diabetes patients (all p < 0.001). Women with diabetes were more likely to have iron deficiency, anemia, and iron deficiency anemia than those without diabetes (18.1% vs 8.6%, p < 0.001), (24.4% vs 8.4%, p < 0.001), and (14.8% vs 5.2%, p < 0.001), respectively. Among women with obesity, those with diabetes had lower predicted ferritin (ß = -0.19, p = 0.016), BII (ß = -0.99, p = 0.016), and hemoglobin (ß = -0.27, p = 0.042) than those without diabetes. The study shows that diabetes is linked to lower iron stores; this is exacerbated in those with obesity.

Postoperative Length of Stay in Patients With Stress Hyperglycemia Compared to Patients With Diabetic Hyperglycemia: A Retrospective Cohort Study.

BACKGROUND: Postoperative hospital length of stay (LOS) is longer in patients with diabetes than in patients without diabetes. Stress hyperglycemia (SH) in patients without a history of diabetes has been associated with adverse postoperative outcomes. The effect of SH on postoperative LOS is uncertain. The aim of this study is to compare postoperative LOS in patients with SH to patients with diabetic hyperglycemia (DH) following noncardiac surgery. METHODS: We carried out a retrospective cohort study of inpatients with at least two glucose measurements ≥180 mg/dL. Two groups were compared. Patients with SH had no preoperative history of diabetes. Patients were considered to have DH if they had an established preoperative diagnosis of diabetes mellitus or a preoperative hemoglobin A1c (HbA1c) ≥6.5%. The primary outcome measure was hospital LOS. RESULTS: We included 270 patients with postoperative hyperglycemia-82 in the SH group and 188 in the DH group. In a linear regression analysis, hospital LOS was longer in the SH group than in the DH group (10.4 vs 7.3 days; P = .03). Within the SH group, we found no association between LOS and prompt treatment of hyperglycemia within 12 hours (P = .43), insulin dose per day (P = .89), or overall mean glucose (P = .13). CONCLUSIONS: Postoperative LOS was even longer in patients with SH than in patients with DH, representing a potential target for quality improvement efforts. We did not, however, find evidence that improved treatment of SH was associated with reduction in LOS.

Serum cystatin C for risk stratification of prediabetes and diabetes populations.

BACKGROUND: The association between serum cystatin C level and vascular outcomes has not been fully elucidated in diabetes and is unclear in prediabetes. We aim to evaluate whether cystatin C level predicts future risk for mortality and vascular outcomes in prediabetes and diabetes. METHODS: A total of 85,371 participants with prediabetes and diabetes, and available baseline cystatin C in the UK biobank were included with a 14-year follow-up. Cox hazards models were used to calculate the associations between cystatin C level, mortality (all-cause, cause-specfic mortality) and vascular outcomes (myocardial infarction [MI], stroke, end-stage renal disease [ESRD] and diabetic retinopathy [DR]). The 1136 diabetes subjects in Guangzhou Diabetic Eye Study (GDES) were included for examing the impact of cystatin C on in vivo retinal degeneration and microvascular changes by using SS-OCT and OCTA. RESULTS: The highest cystatin C quartile had increased risks of all-cause (hazard ratio [HR], 2.02; 95% confidence interval [CI] 1.86-2.19), cardiovascular (HR, 2.29; 95% CI 1.97-2.67), cancer (HR, 1.86; 95% CI 1.65-2.10) and other-cause mortality (HR, 2.24; 95% CI 1.90-2.64), MI (HR, 1.40; 95% CI 1.26-1.55), stroke (HR, 1.88; 95% CI, 1.57-2.26), ESRD (HR, 7.33; 95% CI, 5.02-10.71), DR (HR, 1.17; 95% CI 1.03-1.32) than those in the lowest quartile. Adding cystatin C to the conventional model improved C-statistic for all-cause (0.699-0.724), cardiovascular (0.762-0.789), cancer (0.661-0.674) and other-cause mortality (0.675-0.715), MI (0.748-0.750), stroke (0.712-0.718), and ESRD (0.808-0.827). The GDES analysis identified a strong association between increased cystatin C levels and diminished retinal neural layers, as well as microvascular rarefaction in both macular and optic disc regions (all P < 0.05). CONCLUSIONS: Serum cystatin C refines the risk stratification for mortality and vascular outcomes among patients with prediabetes or diabetes.

Association between serum ALT levels and incidence of new-onset diabetes in general population of Japanese: a longitudinal observational study (ISSA-CKD).

OBJECTIVE: We aimed to clarify the relationship between serum alanine transaminase (ALT) levels and incidence of new-onset diabetes in a Japanese general population. SETTING: Population-based retrospective cohort study using annual health check-up data for residents of Iki City, Nagasaki Prefecture, Japan. PARTICIPANTS: A total of 5330 Japanese individuals (≥30 years old) without diabetes at baseline were analysed. PRIMARY AND SECONDARY OUTCOME MEASURES: Serum ALT levels were determined using an enzymatic method and were classified into gender-specific quartile groups as follows: group 1 (3-16 U/L in men and 3-13 U/L in women), group 2 (17-21 U/L in men and 14-16 U/L in women), group 3 (22-29 U/L in men and 17-22 U/L in women) and group 4 (30-428 U/L in men and 23-268 U/L in women). The study outcome was the incidence of diabetes (fasting glucose ≥7.0 mmol/L, non-fasting glucose ≥11.1 mmol/L, glycated haemoglobin ≥6.5% or use of glucose-lowering therapies). RESULTS: After an average follow-up period of 5.0 years, 279 individuals developed diabetes. The incidence rate of diabetes increased with elevation of serum ALT levels (0.7% per 100 person-years in group 1, 0.9% in group 2, 0.9% in group 3 and 1.7% in group 4) (p<0.001 for trend). This association was significant after adjustment for other risk factors including age, sex, obesity, hypertension, dyslipidaemia, smoking, current daily alcohol intake and regular exercise (p<0.001 for trend). Comparable associations were observed between men and women (p=0.459 for interaction). CONCLUSION: Serum ALT levels were associated with future development of diabetes in the general Japanese population.

Serum uric acid is associated with chronic kidney disease in elderly Chinese patients with diabetes.

BACKGROUND: The relationship between hyperuricemia and chronic kidney disease (CKD) has been investigated extensively. However, studies on elderly individuals are still limited. Moreover, there is no consensus on whether hyperuricemia or elevated serum uric acid (SUA) within the normal range is correlated with the new onset of CKD and whether there are differences between males and females. METHODS: We included 39039 elderly diabetic patients without CKD at baseline from a community-based cohort in Wuhan, China. The outcome event was the new onset of CKD (defined as an estimated glomerular filtration rate < 60 mL/min/1.73 m2). Multivariate Cox models were used to assess the adjusted hazard ratio (HR). RESULTS: During the 2-year follow-up period, 3162 (8.10%) patients with diabetes developed new-onset CKD. The optimal cutoff value of SUA for incident CKD was 347.4 µmol/L. The adjusted HRs of hyperuricemia for new-onset CKD were 1.925 (1.724-2.150) and 1.676 (1.520-1.848) for males and females, respectively. The risk of developing CKD increased across the Q4 group up to 2.242 times for their counterparts in the lowest SUA quartile, independent of age, sex, diabetes duration, obesity, hypertension, systolic blood pressure, diastolic blood pressure, smoking, drinking, dyslipidemia, triglyceride, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and fasting plasma glucose. CONCLUSIONS: Hyperuricemia is an independent predictor of incident CKD. Elevated SUA was linearly correlated with CKD in elderly patients with diabetes, showing a relatively higher intensity among males compared with that among females. The optimal cutoff value of SUA for the risk of new-onset CKD in elderly patients with diabetes was 347.4 µmol/L.

Tradução, adaptação cultural e validação do Instrumento de Autoavaliação em Diabetes / Translation, cultural adaptation and validation of the diabetes self-report tool / Traducción, adaptación cultural y validación de la herramienta de autoevaluación de la diabetes

Objetivo: realizar tradução, adaptação cultural e validação do Instrumento de Autoavaliação em Diabetes para aplicação no contexto brasileiro. Métodos: estudo metodológico realizado com 132 profissionais, entre os anos de 2016 e 2018, em seis etapas: 1 - Tradução inicial; 2 - Síntese da tradução; 3 - Retrotradução (back translation); 4 - Avaliação pelo comitê de juízes; 5 - Adequação cultural (pré teste); e 6 - Reprodutibilidade. Houve participação de profissionais de equipes multiprofissionais envolvidas no tratamento do diabetes por meio da plataforma e-surv. Resultados: entre os participantes, predominaram o sexo feminino (73,5%), profissionais com especialização (pós-graduação Lato Sensu) (51,5%) e com experiência na assistência a pessoas com diabetes (84,4%). O Índice de Validade de Conteúdo (IVC) foi satisfatório (0,850). O instrumento apresentou boa consistência interna (Alfa de Cronbach = 0,878). A análise de confiabilidade do instrumento, realizada pelo cálculo do coeficiente de correlação intraclasse (CCI), indicou concordância adequada em todas as medidas, 0,878 (IC 95%: 0,864 - 0,891), com Kappa Ponderado médio de 0,714 e índices acima de 0,60 em 85% os itens, mostrando boa concordância teste e reteste. Conclusão: a versão traduzida e culturalmente adaptada do Instrumento d e Autoavaliação em Diabetes apresentou boa confiabilidade, aceitabilidade e estabilidade temporal satisfatórias conforme os parâmetros internacionais, podendo ser utilizada, pelos profissionais da saúde, para autoavaliação em diabetes.(AU)

Objective: to carry out translation, cultural adaptation, and validation of the Diabetes Self-Report Instrument for application in the Brazilian context. Methods: methodological study carried out with 132 professionals, between 2016 and 2018, in six steps: 1 - Initial translation; 2 - Synthesis of the translation; 3 - Back translation; 4 - Evaluation by the judging committee; 5 - Cultural adequacy (pre-test); and 6 - Reability. There was participation of professionals from multidisciplinary teams involved in the treatment of diabetes through the e-surv platform. Results: among the participants, there was a predominance of females (73.5%), professionals with specialization (Lato sensu postgraduate degree) (51.5%) and with experience in caring for people with diabetes (84.4%). The Content Validity Index (CVI) was satisfactory (0.850). The instrument showed good internal consistency (Cronbach's alpha=0.878). The instrument's reliability analysis, carried out by calculating the intraclass correlation coefficient (ICC), indicated adequate agreement in all measurements, 0.878 (95% CI: 0.864 - 0.891), with mean weighted Kappa of 0.714 and indices above 0. 60 out of 85% of the items, showing good test-retest agreement. Conclusion: the translated and culturally adapted version of the Diabetes Self-report Instrument showed good reliability, acceptability, and satisfactory temporal stability according to international parameters, and can be used by healthcare professionals for self-report of diabetes.(AU)

Objetivo: realizar la traducción, adaptación cultural y validación de la Herramienta de Autoevaluación de Diabetes para aplicación en el contexto brasileño. Métodos: estudio metodológico realizado con 132 profesionales, entre 2016 y 2018, en seis etapas: 1 ­ Traducción inicial; 2 ­ Síntesis de la traducción; 3 ­ Traducción inversa; 4 ­ Evaluación por el comité de jueces; 5 ­ Adecuación cultural (pre-test); y 6 ­ Reproducibilidad. Se contó con la participación de profesionales de equipos multidisciplinarios...(AU)

Is hemoglobin A1c valuable for predicting concurrent endometrial cancer in diabetic women with endometrial intraepithelial neoplasia?

AIM: The purpose of this study was to determine the predictive value of preoperative hemoglobin A1c (HgA1c) level for endometrial cancer in diabetic women with endometrial intraepithelial neoplasia (EIN). MATERIALS AND METHODS: Six hundred patients with EIN were retrospectively studied in a tertiary referral center in Turkey between January 2014 and December 2021. One hundred and thirteen diabetic patients with EIN who met the inclusion criteria were enrolled in the study and divided into three groups according to the final pathological results: Group 1 with benign findings (n = 29), Group 2 with EIN (n = 34) and Group 3 with endometrial cancer (n = 50). Demographic, clinical and biochemical characteristics were compared among the three groups. Receiver operating characteristic analysis (ROC) was used to evaluate the predictive value of HgA1c for concurrent endometrial cancer in EIN. RESULTS: Mean preoperative HgA1c levels were different among three groups (5.41 ± 0.64, 6.01 ± 0.72, 6.65 ± 1.15, p < 0.001, respectively). The highest value of HgA1c level was found in cancer group and difference within pairs was statistically significant (p < 0.001). Age and duration of menopause were also different among groups (p < 0.005). After adjustment of HgA1c level for age and duration of menopause differences were maintained (p < 0.001), the cutoff value was detected as ≥6.05% for HgA1c and sensitivity, specificity was 60%, 70%, respectively (p < 0.001). CONCLUSIONS: HgA1c could be used in prediction of endometrial cancer. The optimal cutoff value determined in our study could be considered in predicting endometrial cancer in diabetic women with EIN.

Prognostic Value of Serum Interleukin-6, NF-κB plus MCP-1 Assay in Patients with Diabetic Nephropathy.

Objective: To assess the prognostic value of serum interleukin-6 (IL-6), nuclear factor-κB (NF-κB), and monocyte chemoattractant protein 1(MCP-1) assay in patients with diabetic nephropathy. Methods: From May 2019 to March 2020, 104 patients with diabetic nephropathy treated in our institution assessed for eligibility were recruited and assigned at a ratio of 1 : 1 to either the observation group ([urinary albumin excretion rate (UAER)] of 30 mg-300 mg/24 h) or the research group ([UAER] >300 mg/24 h). IL-6, MCP-1, renal function indices, and NF-κB levels were determined, and their correlation with DN was analyzed. Logistic regression was used to analyze the influencing factors of end-stage renal disease in patients with diabetic nephropathy. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC) was calculated to analyze the predictive value of combined detection of IL-6, MCP-1, and NF-κB in the prognosis of patients with diabetic nephropathy. Results: The eligible patients with UAER of 30 mg-300 mg/24 h were associated with significantly higher levels of IL-6, MCP-1, NF-κB, blood urea nitrogen (BUN), and serum creatinine (Scr) versus those with UAER >300 mg/24 h (P < 0.05). During the follow-up, a total of 38 patients progressed to end-stage renal diseases. Eligible patients with end-stage renal diseases showed significantly higher serum IL-6, MCP-1, and NF-κB levels versus those without end-stage renal diseases (P < 0.05). Serum IL-6, MCP-1, and NF-κB are independent risk factors for the occurrence of end-stage renal disease in patients with diabetic nephropathy. The AUCs of IL-6, MCP-1, and NF-κB for predicting the prognosis of patients with diabetic nephropathy were 0.562, 0.634, and 0.647, respectively, and the AUC of the three combined detection for predicting the prognosis of patients with diabetic nephropathy was 0.889. Conclusion: Serum IL-6, NF-κB, and MCP-1 levels are closely related to renal injury and poor prognosis in patients with diabetic nephropathy, and the combined assay is valuable for assessing patients' condition and prognosis.

The Impact of Sex and Gender on Stroke.

Women face a disproportionate burden of stroke mortality and disability. Biologic sex and sociocultural gender both contribute to differences in stroke risk factors, assessment, treatment, and outcomes. There are substantial differences in the strength of association of stroke risk factors, as well as female-specific risk factors. Moreover, there are differences in presentation, response to treatment, and stroke outcomes in women. This review outlines current knowledge of impact of sex and gender on stroke, as well as delineates research gaps and areas for future inquiry.

Serum levels of novel anti-inflammatory cytokine Interleukin-38 in diabetes patients infected with latent tuberculosis (DM-LTB-3).

IL-38 is a recently discovered, novel anti-inflammatory cytokine, which belongs to the IL-1ß family. The role played by this cytokine in diabetes-tuberculosis nexus is not known. Serum levels of IL-38, TNF-α, IL-6, and IL-1ß in Normal Glucose Tolerance (NGT) and chronic Diabetes (DM) subjects, both with and without latent tuberculosis (LTB) (n = 256) were quantified by ELISA. While, serum levels of IL-38 were significantly reduced, the levels of TNF-α, IL-6, and IL-1ß were not altered, in LTB infected diabetes patients. While no significant secretion of IL-38 was detected in the quantiferon supernatant, secretion of TNF-α, IL-6, and IL-1ß was significantly reduced in LTB infected diabetes patients. The decreased systemic levels of IL-38 and reduced in vitro secretion of other pro-inflammatory cytokines might represent a crucial pathway associated with diabetes-tuberculosis nexus.

sTWEAK is a leukoaraiosis biomarker associated with neurovascular angiopathy.

OBJECTIVE: Leukoaraiosis (LA) refers to white matter lesions of undetermined etiology associated with the appearance and worsening of vascular pathologies. The aim is to confirm an increased frequency and intensity of LA in symptomatic patients with neurovascular pathology compared with asymptomatic subjects, and its association with circulating serum levels of soluble tumor necrosis factor-like weak inducer of apoptosis (sTWEAK). METHODS: An observational study was conducted in which two groups of patients were compared. Group I (N = 242) comprised of asymptomatic subjects with arterial hypertension and/or diabetes or with a history of transient ischemic attacks, and Group II (N = 382) comprised patients with lacunar stroke or deep hemispheric intracerebral hemorrhage (ICH) of hypertensive origin. Serum levels of sTWEAK were analyzed and correlated with prevalence and intensity of LA according to the Fazekas scale. RESULTS: The prevalence of LA was higher in symptomatic (85.1%) versus asymptomatic patients (62.0%). Logistic regression model showed a significant relation of LA with neurovascular pathologies (OR: 2.69, IC 95%: 1.10-6.59, p = 0.003). When stratified according to the Fazekas scale, LA of grade II (OR: 3.53, IC 95%: 1.10-6.59, p = 0.003) and specially grade III (OR: 4.66, 95% CI: 1.09-19.84, p = 0.037) showed correlation with neurovascular pathologies. Increased sTWEAK levels were found in the symptomatic group in all LA grades (p < 0.0001), and associated with 5.06 times more risk of presenting clinical symptoms (OR: 5.06, 95% CI: 2.66-9.75, p < 0.0001). INTERPRETATION: LA showed a higher prevalence in patients with symptomatic lacunar stroke or deep hemispheric ICH. There is an association between sTWEAK levels and LA degree.

Effects of non-essential protein on D-glucose to control diabetes: DFT approach.

Diabetes is a disease found in every 1 out of 4 people in the world. The glucose molecule is one of the sources of energy in the body and the lack of the digestion of glucose causes diabetes type 1 and type 2. Arginine and cysteine are nonessential amino acids that contain sulfur and help maintain the metabolisms of humans. We explored the glucose-arginine (Glc-arg) and glucose-cysteine (Glc-cys) molecules by finding their structural properties, electronic properties, chemical reactivity, mechanical strength, and transport properties because these non-essential amino acid molecules inhibit glucose-stimulated insulin secretion. Density functional theory (DFT) has been implemented to study all the properties of Glc-arg and Glc-cys using SIESTA software. Glucose-arginine (Glc-arg) inhibits a large percentage of glucose secretion and shows high chemical reactivity.