Systematic analysis between inflammation-related index and sex hormones in American adults: cross-sectional research based NHANES 2013-2016

Association between ethylene oxide exposure and serum sex hormone levels measured in a reference sample of the US general population

Ethylene oxide (EO) is a crucial organic compound commonly utilized in industrial and medical products. Food and Drug Administration (FDA)-approved EO sterilization sterilizes about 50% of sterile medical devices in the U.S. Animal and human studies have suggested that EO exposure may result in severe health problem. However, studies evaluating the relationship between EO exposure and sex hormones in human populations are still lacking. Therefore, further investigation into EO's effects on humans is essential. This cross-sectional study within the U.S. National Health and Nutrition Examination Survey (NHANES),2013-2016 examined the relationship between EO-hemoglobin adducts (HbEO) and sex hormones. HbEO was found to be inversely associated with estradiol (E2) and positively associated with the ratio of total testosterone (TT) to E2 and sex hormone-binding globulin (SHBG) levels in adult males. Such associations HbEO and E2 and SHBG were non-linear in male adults. However, no significant associations were found between HbEO and sex steroids across various age groups of females and all male age groups except for adults. Thus, our study provides evidence that EO may potentially serve as an endocrine disruptor in the environment, affecting the levels of sex hormones in adult males.

Association between systemic immune inflammation index and serum testosterone and free testosterone in middle-aged and elderly men

BACKGROUND

Chronic inflammation is a pervasive feature of aging and may be associated with testosterone in middle-aged and older men. Systemic immune-inflammation index (SII) is a novel inflammatory biomarker. We aimed to assess the association between SII and serum testosterone and free testosterone (FT) in middle-aged and older men.

METHODS

Our study included males ≥ 40 years old in the 2011-2016 and 2021-2023 National Health and Nutrition Examination Survey. Multivariable regression analysis was used to explore the associations between SII and serum testosterone and FT in middle-aged and older men. Subgroup analysis was performed according to age.

RESULTS

About 5354 participants were included, of which 2450 contained FT data. Multivariable linear regression found that SII exhibited an inverse association with serum testosterone (β -0.05, 95% CI -0.07 to -0.03, P < 0.001) and FT (β -0.03, 95% CI -0.05 to -0.01, P = 0.032) in middle-aged and elderly men. After SII was grouped as quartiles, serum testosterone was significantly lower in SII quartile 4 than in SII quartile 1 (β -0.05, 95% CI -0.08 to -0.02, P < 0.001). However, FT was not significantly lower in SII quartile 4 than in SII quartile 1 (β -0.03, 95% CI -0.07 to 0.01, P = 0.135). In subgroup analysis, the serum testosterone results were consistent with the overall results. However, only in the ≥60 years group, SII exhibited an inverse association with FT (β -0.06, 95% CI -0.1 to -0.02, P = 0.002) and was significantly lower in SII quartile 4 than in SII quartile 1 (β -0.06, 95% CI -0.12 to -0.01, P = 0.049).

CONCLUSIONS

Our study revealed an inverse association between SII and serum testosterone and FT in middle-aged and elderly men, particularly among men ≥ 60 years.

Association Between the Nutritional Inflammatory Index and Obstructive Sleep Apnea Risk: Insights from the NHANES 2015-2020 and Mendelian Randomization Analyses

Background/Objectives: Current approaches to monitoring obstructive sleep apnea (OSA) risk primarily focus on structural or functional abnormalities, often neglecting systemic metabolic and physiological factors. Resource-intensive methods, such as polysomnography (PSG), limit their routine applicability. This study aimed to evaluate composite nutritional-inflammatory indices derived from routine blood markers to identify feasible indices for OSA management and explore their association with OSA risk. Methods: Data from 9622 adults in the NHANES (2015-2020) and GWAS datasets were analyzed using logistic regression, restricted cubic splines, machine learning, and Mendelian randomization (MR). These techniques were employed to identify nutritional-inflammatory indices associated with OSA risk. Random forest modeling identified body mass index (BMI) and albumin (ALB) as key components of the advanced lung cancer inflammation index (ALI). Causal relationships between ALI components and OSA were validated using MR. Results: ALI was significantly associated with OSA, with individuals in the highest ALI tertile exhibiting a 59% higher likelihood of OSA (OR = 1.59, 95% CI: 1.38-1.84; p < 0.001). BMI and ALB were identified as key contributors to ALI and confirmed as causal risk factors for OSA (BMI: OR = 1.91, 95% CI: 1.80-2.02; ALB: OR = 1.11, 95% CI: 1.04-1.19). Age, gender, and the neutrophil-to-lymphocyte ratio (NLR) were also significant predictors. Conclusions: This study identifies ALI as a potential composite index for assessing OSA risk. Integrating statistical modeling, machine learning, and causal inference techniques highlights the utility of nutritional-inflammatory indices in improving OSA monitoring and management in clinical practice.

Association of ethylene oxide exposure with sex hormones in the general US population: a cross-sectional study

Background

Ethylene oxide (EO) is an environmental chemical widely used in industry and has been related to various conditions such as dyslipidemia and metabolic syndrome. However, it is not clear what effect EO has on sex hormones. This paper aims to investigate the connection between EO exposure and sex hormones.

Methods

EO exposure was assessed by measuring blood levels of hemoglobin adducts of EO (HbEO). Based on the National Health and Nutrition Examination Survey (NHANES) 2013-2016 dataset, we assessed linear and nonlinear associations between HbEO and sex hormone levels using weighted multivariate linear regression analyses and weighted generalized additive modeling approaches. We further calculated the threshold effect using a two-piecewise linear regression model. In addition, we performed subgroup analyses.

Results

In men, HbEO levels showed a U-shaped relationship with total testosterone (TT) and sex hormone binding globulin (SHBG), with inflection points ln(HbEO) (natural logarithmic transformed value of HbEO) of 4.12 and 3.78 pmol/g Hb, respectively. HbEO levels in women showed an inverted U-shaped relationship with TT, with an inflection point ln(HbEO) of 4.54 pmol/g Hb. However, to the right of the inflection point, the relationship between HbEO and TT was not statistically significant (β = -0.09, 95%CI -0.21, 0.03). Female HbEO levels were negatively correlated with estradiol (β = -0.11, 95%CI -0.19, -0.03). In addition, we found a positive correlation between HbEO and SHBG in women with a body mass index (BMI) <25 (β = 0.12, 95%CI 0.04, 0.20, P for interaction = 0.007).

Conclusions

EO exposure leads to altered sex hormone levels in the general US population, and further research is required in the future to validate our findings.

Association of Sleep Duration With Serum Estradiol Concentrations Among American Men and Women: Evidence From NHANES 2013-2016

Objective: To evaluate the association between sleep duration with serum estradiol concentrations and its variation by sex and age in American adults. Methods: Data were analyzed for 5406 men and women (≥ 20 years old) who participated in the cycles of the National Health and Nutrition Examination Survey 2013-2016, a cross-sectional study. Total estradiol (pg/mL) was measured and categorized (low, normal, and high) based on the NHANES protocol. Sleep duration was classified as ≤ 6, 6-9, and ≥ 9 h. Weighted multivariable adjusted and multinomial logistic regression models were conducted to assess these associations. Results: Our multivariable multinomial logistic regression analysis revealed no significant associations between sleep duration and serum estradiol concentrations among both American men and women. Specifically, comparisons of sleep durations (≤ 6 and ≥ 9 h) to the reference group (6-9 h) across various age categories showed odds ratios for low and high estradiol concentrations that remained statistically nonsignificant in fully adjusted models. These findings suggest that, unlike previous studies linking sleep duration with variations in other hormones, estradiol concentrations do not appear to be significantly affected by differences in sleep duration in either sex across all age groups studied. Conclusion: The lack of significant associations between sleep duration and serum estradiol concentrations indicates that sleep duration may not influence estradiol levels in the general population of American men and women. These results underscore the importance of continued research into how sleep influences hormonal balance. However, it is important to note that the NHANES data we used are from a cross-sectional study, which cannot establish a causal relationship between sleep duration and serum estradiol. Future studies should investigate additional factors, such as genetic predispositions, lifestyle habits, and environmental influences, that may modulate the relationship between sleep and hormone levels.

Correlation of systemic immune inflammation and serum uric acid with gout: based on NHANES

OBJECTIVES

This study aimed to explore the relationship of systemic immune inflammation index (SII) and uric acid with gout using NHANES 2017-2018 data.

METHOD

Data were collected from the 2017-2018 circle of the NHANES database. SII was calculated based on the counts of lymphocytes (LC), neutrophils (NC), and platelets (PC). Data on gout patients were collected from questionnaires. Logistic regression analysis and subgroup analysis were used to explore the relationship between SII and gout.

RESULTS

A total of 4517 participants were included in the study, with 273 individuals in the gout group and 4244 in the non-gout group. Logistic regression analysis showed that SII and serum uric acid were higher in the gout group than those in the non-gout group. SII ≥ 511.8 and uric acid ≥ 7.0 mg/dL may be positively associated with gout. Further subgroup analysis revealed that the level of SII was positively associated with gout in the female group and the group with eGFR of 60-89.9 mL/min/1.73 m2. Serum uric acid was positively associated with gout in the age, hypertension, hyperglycemia, and male groups and the group with eGFR ≥ 60 mL/min/1.73 m2.

CONCLUSIONS

There are positive correlations of SII and serum uric acid with gout. Our study suggests that SII could be a novel, valuable, and feasible inflammatory marker for gout. Key Points • Gout is a joint disease associated with hyperuricemia. The mechanism of the disease involves multiple complex factors, including metabolic disorders and inflammation. • Systemic immune inflammation index (Sll), as an evaluation index of systemic inflammatory responses, can reflect the body's inflammatory changes when the immune system is continuously activated with chronic inflammation of joints and other tissues. • We used the NHANES database to explore the relationship of SII and uric acid with gout, providing a basis for the diagnosis of gout and prognostic assessment of gout patients.

Association of geriatric nutritional risk index with total testosterone in elderly adults in the US: evidence from NHANES 2011-2016

Background and objectives

There is growing evidence that deficiencies in specific nutrients can impact testosterone levels in older men. However, research examining the predictive value of overall nutritional status on testosterone levels remains limited. The Geriatric Nutritional Risk Index (GNRI) is an effective tool for assessing the nutritional status of the elderly. Therefore, this study aimed to investigate the potential correlation between the GNRI and serum total testosterone (TT).

Methods

A representative sample of U.S. males aged 60 years and older who participated in the National Health and Nutrition Examination Survey (NHANES) cycles from 2011 to 2016 was utilized for this cross-sectional study. The research included a total of 829 older adults. Tandem mass spectrometry and liquid chromatography were employed to quantify TT. To examine the association between GNRI and TT, restricted cubic splines (RCS) and weighted multivariate regression analyses were conducted. Subgroup analysis was performed to identify the variables influencing the positive association between GNRI and TT. Additionally, a sensitivity analysis was carried out to compare the weighted and unweighted data.

Results

After adjusting for all other factors, a positive association was found between GNRI and TT. The beta coefficient was 5.59, with a 95% confidence interval of 2.16 to 9.01, and a p-value of 0.003. Compared to the lowest quartile of GNRI (Q1), the second quartile (Q2), third quartile (Q3), and fourth quartile (Q4) significantly increased the level of TT. The beta coefficients for Q2, Q3, and Q4 were 70.15 (p = 0.022), 104.40 (p < 0.001), and 84.83 (p < 0.001), respectively. In subgroup analyses, statistically significant associations were observed among participants who did not have diabetes, had hypertension, and had a BMI of 24.9 or less. According to the sensitivity analysis, unweighted data also found GNRI to be associated with TT (beta = 3.09, P = 0.031).

Conclusion

A positive correlation was identified between the GNRI and TT in the elderly male population of the United States. Further prospective studies with larger sample sizes are needed to confirm the causal relationship between GNRI and TT.

The association between sex hormones and prevalence of OA in US adults

Background

Age and gender are commonly recognized as risk factors for osteoarthritis (OA), implying a potential association between sex hormones and OA pathogenesis. However, the precise role of sex hormones in OA remains elusive. Meanwhile, testosterone to estradiol (TT/E2) ratio is a new biomarker of sex hormone milieu. In this study, we aimed to investigate the relationship between sex hormones, specifically TT/E2 ratio, and the prevalence of OA among adults in the United States.

Methods

This study is a cross-sectional study, and the data sourced from the National Health and Nutrition Examination Survey (NHANES) 2013-2016 cycles. This study primarily focuses on individuals aged 50 and above, employing multivariable logistic regression to examine the association between sex hormones and OA.

Results

We included 2,615 participants (972 females). No significant association was observed between testosterone or estradiol levels and OA prevalence when analyzed separately. However, the TT/E2 ratio exhibited a robust inverse association with OA, particularly in females (adjusted OR = 0.61, 95% CI: 0.41-0.91, p = 0.02). A nonlinear relationship was observed in females, with a threshold effect indicating reduced OA risk when the TT/E2 ratio exceeded 0.3.

Conclusion

The TT/E2 ratio was inversely associated with OA risk, with a stronger and more consistent effect observed in females. These findings suggest the TT/E2 ratio as a potential biomarker for OA risk stratification, particularly in postmenopausal females. Future longitudinal studies are warranted to clarify the causal role of the TT/E2 ratio in OA.

The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and prevalence of urinary stones in US adults: a cross-sectional NHANES study

BACKGROUND

This study examines the association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and urinary stones in American adults.

METHODS

We conducted a cross-sectional study utilizing the 2007-2018 National Health and Nutrition Examination Survey (NHANES) data set. The prevalence of urinary stones was determined based on patient-reported experiences of renal colic. We converted NHHR to natural logarithm (ln-NHHR) to align it better with our statistical analyses. Our analysis methods included weighted multivariate logistic regression, generalized additive model (GAM), and application of smoothed curves to better elucidate the association between ln-NHHR and the prevalence of urinary stones. In addition, we conducted subgroup analyses and employed multiple imputation for sensitivity analyses.

RESULTS

This study involved a total of 30,903 participants, with a 9.97% prevalence of urinary stones and reported colic experience. Elevated ln-NHHR levels were linked with a higher likelihood of urinary stones (OR = 1.20, 95% CI 1.07-1.35). Smooth curve fitting revealed an inverted U-shaped relationship, pinpointing a significant increase in urinary stone risk at ln-NHHR levels below 1.43 (OR = 1.40, 95% CI 1.19-1.64, p < 0.001). Notably, this correlation was stronger among Non-Hispanic Whites and those married or living with a partner. Multiple imputation analyses strengthened the confidence in our results.

CONCLUSIONS

Our findings suggest a reverse U-shaped association between urinary stone occurrence and NHHR level, with a positive association at ln-NHHR < 1.43. This correlation was more pronounced in the Non-Hispanic White population and among those married or living with a partner.

Association of different inflammatory indices with risk of early natural menopause: a cross-sectional analysis of the NHANES 2013-2018

Background

Early natural menopause, characterized by the cessation of ovarian function before the age of 45, has been a subject of prior research indicating that inflammation may predict the onset of menopause. However, the specific relationship between peripheral blood inflammatory parameters and early natural menopause remains ambiguous.

Methods

This observational study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2013-2018. The age at menopause was ascertained through the Reproductive Health Questionnaire (RHQ), with early natural menopause defined as menopause occurring before the age of 45 years. Complete blood counts were derived from laboratory test data, and seven indices of inflammation were calculated, including lymphocyte count (LC), neutrophil count (NC), systemic immune inflammation index (SII), product of platelet and neutrophil count (PPN), platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR). A multivariate weighted logistic regression analysis was employed to estimate the association between these inflammatory indices and early natural menopause.

Results

A total of 2,034 participants were included in the analysis, of whom 460 reported experiencing menopause before the age of 45. Both Log2-NC and Log2-PPN were found to be positively correlated with early menopause, with odds ratios (OR) of 1.56 (95% CI: 1.16, 2.09; p = 0.005) and 1.36 (95% CI: 1.07, 1.72; p = 0.015), respectively. The results from models 1 and 2 were consistent with those from model 3. In the trend test, participants in the fourth quartile (Q4) of log2-LC exhibited a positive correlation with early menopause compared to those in the lowest quartile (Q1), with an OR of 1.41 (95% CI: 1.03, 1.93; p = 0.033). Similarly, the fourth quartile (Q4) of log2-NC and log2-PPN demonstrated a positive correlation with early menopause, with odds ratios (OR) of 1.76 (95% CI: 1.27-2.45; p < 0.001) and 1.66 (95% CI: 1.21-2.29; p = 0.002), respectively. In Model 3, log2-SII, log2-PLR, log2-NLR, and log2-LMR were not significantly associated with early menopause.

Conclusion

Our findings indicate that elevated levels of Log2-LC, Log2-NC, and Log2-PPN are positively correlated with an increased risk of early menopause among women in the United States.

Association between relative fat mass and kidney stones in American adults

Our study aimed to investigate the association between RFM and kidney stones, focusing specifically on the mediating role of high-density lipoprotein cholesterol (HDL-C). We performed a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) covering the years 2007 to 2018. Our analytical approach included multivariate logistic regression modeling, subgroup analysis, generalized additive modeling (GAM), smoothed curve fitting, and receiver operating characteristic (ROC) curve, as well as mediation analysis to assess the association between RFM and kidney stones. Finally, we categorized RFM into normal and elevated groups to conduct a sensitivity analysis. This study involved 29,712 participants, with a kidney stone prevalence of 9.88%. We discovered a positive association between RFM and kidney stones (OR = 1.41 per SD increment, 95% CI: 1.24, 1.60). Subgroup analysis revealed a consistent positive association across all subgroups, with a notably higher likelihood of developing kidney stones in young adulthood (P for interaction < 0.05). The smooth curve fitting shows that RFM is nonlinearly and positively correlated with the prevalence of kidney stones. Additionally, HDL-C was found to be negatively associated with kidney stones. Importantly, HDL-C demonstrated a significant mediating effect, with a mediation ratio of 13.52%. ROC analysis indicated that RFM (AUC = 0.616) provided better diagnostic accuracy than traditional measures such as BMI (AUC = 0.565) and WC (AUC = 0.599). Furthermore, the sensitivity analysis further supports the robustness of our findings. RFM is nonlinearly and positively correlated with the prevalence of kidney stones, with HDL cholesterol playing a significant mediating role in this relationship. However, further studies are needed to confirm these associations and explore potential mechanisms.

Sex-specific association of peripheral blood cell indices and inflammatory markers with depressive symptoms in early adolescence

BACKGROUND

Previous studies have reported the correlation of dysregulated blood cell indices and peripheral inflammatory markers with depression in adults but limited studies have examined this correlation in early adolescents.

METHODS

This study used data from the Chinese Early Adolescents Cohort Study, which was conducted in Anhui, China. Students' depression symptoms were repeatedly measured using the Chinese version of the Center for Epidemiological Studies Depression Scale for Children. Students' blood samples were collected in September 2019 and September 2021. The peripheral blood cell counts and inflammatory marker levels were determined using routine blood tests. Multivariable regression models were used to explore the associations between blood cell indices and adolescent depressive symptoms in both the whole sample and the sex-stratified samples.

RESULTS

The white blood cell (WBC) count, neutrophil count (NC), platelet (PLT) count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, and systemic immune inflammation index (SII) were positively correlated with the severity of depressive symptoms during follow-up. The mean corpuscular volume (MCV), mean hemoglobin (HGB) volume (MCH), and mean corpuscular HGB concentration (MCHC) exhibited negative temporal correlations with depressive symptoms. Additionally, several sex-specific blood cell markers were correlated with depression. Male adolescents with increased red blood cell (RBC) and female adolescents with decreased HGB levels and upregulated WBC, NC, NLR, and SII levels exhibited severe depressive symptoms at follow-up.

CONCLUSIONS

These findings suggested the potential usefulness of peripheral blood cell indices in the assessment of depression in early adolescents.

Analysis of the influencing factors of abdominal Henoch-Schonlein purpura in children with gastrointestinal bleeding and the clinical value of PLR

OBJECTIVE

To identify the influencing factors of gastrointestinal bleeding in children with abdominal-type Henoch-Schonlein purpura (HSP) and to assess the diagnostic value of PLR (platelet-to-lymphocyte ratio).

METHODS

We retrospectively analyzed the medical records of 112 children with abdominal HSP admitted to Northwest Women's and Children's Hospital from April 2021 to May 2023. Among them, 62 cases with gastrointestinal bleeding constituted the bleeding group, while the other 50 cases without gastrointestinal bleeding comprised the non-bleeding group. We compared PLR and related routine blood indicators between the two groups. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for gastrointestinal bleeding. HSP children with gastrointestinal bleeding were further categorized based on treatment efficacy, and the predictive value of PLR for treatment efficacy was analyzed.

RESULTS

The observation group exhibited significantly higher levels of WBC, NEU, PLT, MPV, C-reactive protein, and PLR, along with lower lymphocyte levels compared to the control group (all P < 0.05). Univariate analysis revealed associations between symptom onset, abdominal pain, vomiting, levels of WBC, NEU, LYM, PLT, PLR, C-reactive protein and gastrointestinal bleeding (all P < 0.05). Multivariate logistic analysis identified onset with abdominal pain, high WBC values, and elevated PLR ratios as risk factors for gastrointestinal bleeding. The ROC curve demonstrated an AUC of 0.914 for PLR in predicting gastrointestinal bleeding. Additionally, PLR was significantly lower in the good efficacy group compared to the poor efficacy group. The AUC of PLR in predicting treatment efficacy was 0.804, indicating high predictive value.

CONCLUSION

Elevated PLR may serve as a potential risk factor for gastrointestinal bleeding in children with abdominal-type allergic purpura. Monitoring changes in PLR could aid in diagnosis and improvements in treatment for this condition.

Correlation between omega-3 intake and the incidence of diabetic retinopathy based on NHANES from 2005 to 2008

AIMS

To identify correlations between omega-3 intake and incidence of diabetic retinopathy (DR).

METHODS

This was a cross-sectional study using data from participants over age 40 in the National Health and Nutrition Examination Survey (NHANES) 2005-2008. Metrics included participants' intake of omega-3 fatty acids, specifically three types of representative polyunsaturated fatty acids, DR prevalence, and demographic characteristics. Multiple logistic regression models were used to assess the relationship between omega-3 intake and DR.

RESULTS

Of the 1243 participants included in this study, omega-3 intake was lower in patients with DR relative to those without DR. Of the three polyunsaturated fatty acids within the omega-3 fatty acid family that we focused on, participants without DR consumed more docosapentaenoic acid (DPA) and docosahexaenoic acid (DHA) than those with DR. In contrast, there was no significant difference in the intake of eicosapentaenoic acid (EPA). Higher omega-3 intake was associated with a decreased risk of DR. In a crude model, the odds ratio (OR) was 0.548 (95% CI 0.315, 0.951; p = 0.033). In the fully adjusted model of omega-3 (model II), the adjusted OR was 0.525 (95% CI 0.306, 0.901; p = 0.021). DPA and DHA were also associated with a decreased risk of DR. In the full adjustment model (model II) of DPA and DHA, the adjusted ORs were 0.0002 (95% CI 0.000, 0.166; p = 0.014) and 0.293 (95% CI 0.105, 0.819; p = 0.020). Subgroup analysis showed that the protective effect of omega-3 against DR was more significant in younger patients (p value = 0.015).

CONCLUSIONS

In this cross-sectional study of the U.S. general population, we found that increased intake of omega-3 and its components, specifically DPA and DHA were negatively associated with DR incidence. This suggests that omega-3 may be a potential protective factor for DR and may help to prevent or delay the onset and progression of DR.

Positive association between serum bilirubin within the physiological range and serum testosterone levels

BACKGROUNDS

Research has demonstrated that elevated serum total bilirubin (STB) levels have a beneficial impact on various diseases, particularly metabolic syndrome. This study aims to investigate the association between STB levels and serum testosterone (STT) in order to determine if bilirubin plays a protective role in relation to testosterone deficiency (TD) risk.

METHODS

In this study, a total of 6,526 eligible male participants aged 20 years or older were analyzed, all of whom took part in the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2016. To investigate the relationship between STB and STT levels, we employed weighted multivariate regression models along with restricted cubic splines (RCS). Additionally, a subgroup analysis was conducted to explore the heterogeneity of this relationship across different subpopulations.

RESULTS

Among the participants, 1,832 individuals (28.07%) were identified as having testosterone deficiency (TD), defined as an STT level below 300 ng/dL. A significant positive correlation between STB and STT levels was observed in both crude and adjusted models (all P < 0.0001). The association between STB and STT levels was found to be statistically significant up to a threshold of 17.1 µmol/L, after which it became statistically insignificant(P for non-linearity = 0.0035). Weighted logistic regression analysis indicated that a 1 µmol/L increase in STB was associated with a 4% decrease in the likelihood of TD (odds ratio = 0.96, P < 0.0001). Subgroup analysis showed that the inverse relationship was limited to individuals aged 60 and over, non-smokers/drinkers, and obese individuals.

CONCLUSION

STB within the physiological range(17.1 µmol/L) was positively associated with STT in adult males. The potential protective role of bilirubin regarding testosterone levels merits further exploration.

Association between blood cell ratios and coronary heart disease: A 10-year nationwide study (NHANES 2009-2018)

Blood cell ratios are a standard clinical index for the assessment of inflammation. Although a large number of epidemiological investigations have shown that inflammation is a potential risk factor for the development of coronary heart disease (CHD), there is not sufficient and direct evidence to confirm the relationship between blood cell ratios and CHD. Therefore, this study aimed to elucidate the effect of blood cell ratios on the incidence of coronary heart disease. This 10-year national study included data from 24,924 participants. The independent variable was blood cell ratios, and the dependent variable was coronary heart diseases (yes or no). The relationship between blood cell ratios and coronary heart disease was verified using baseline characteristic analysis, multivariate logistic regression analysis, smoothed fitted curves, and subgroup analysis. This study found that in multiple logistic regression analysis showed significant positive correlation between monocyte counts × meutrophil counts/lymphocyte counts (SIRI) (OR = 1.495; 95% CI = 1.154-1.938), monocyte-lymphocyte ratio (MLR) (OR = 3.081; 95% CI = 1.476-6.433) and the incidence of CHD; lymphocyte-monocyte ratio (LMR) (OR = 0.928;95% CI = 0.873-0.987), monocyte-lymphocyte ratio (PLR) (OR = 0.997;95% CI = 0.994-1.000) showed negative correlation with CHD. The smoothed curve fitting shows a nonlinear relationship between SIRI, LMR, PLR, and CHD, with an inverted U-shaped curve between SIRI and CHD, an L-shaped angle between LMR and CHD, and a U-shaped curve between PLR and CHD, respectively. Their inflection points are 1.462, 3.75, and 185.714, respectively. SIRI has an inverted U-shaped curve with coronary heart disease, suggesting that low levels of SIRI increase the risk of CHD; LMR with an L-shaped curve with CHD, and PLR with a U-shaped curve with CHD, suggesting that the risk of CHD can be prevented when LMR and PLR are reduced to a certain level. This has positive implications for the prevention and treatment of CHD.

Association between systemic immunity-inflammation index and sex hormones in children and adolescents aged 6-19

Objectives

This study aimed to evaluate the relationship between systemic immune-inflammation index (SII) and sex hormones in children and adolescents aged 6-19 years.

Methods

Data were obtained from the National Health and Nutrition Examination Survey (NHANES) conducted between 2013 and 2016. Inclusion criteria comprised subjects aged 6-19 years with complete data on both SII and sex hormones. We employed weighted multiple regression analysis and subgroup analytical methods to independently estimate the relationship between SII and sex hormones.

Results

In this study, a total of 3767 participants were included, with an average age of 12.32 ± 3.95 years. Males constituted 50.54%, and females 49.46%. Among males, a statistically significant negative correlation emerged between SII and sex hormone-binding globulin (SHBG). Similarly, in the female population, SII exhibited a statistically significant negative correlation with total testosterone (TT), SHBG, and the Ratio of TT to estradiol, while maintaining a positive correlation with free androgen index (FAI). Subgroup analysis underscored variances in the association between sex hormones and SII within cohorts distinguished by pubertal status or different body mass index (BMI). In addition, the relationship between SII and estradiol exhibited nonlinearity. Employing a two-segment linear regression model, we identified an inverted U-shaped association between SII and estradiol, with an inflection point of 748.09 (1000cell/ml).

Conclusion

Our findings suggest that SII may be an independent risk factor for changes in sex hormones in both male and female children and adolescents. More prospective and experimental studies should be conducted to validate our results and elucidate the underlying molecular pathways.

Creating machine learning models that interpretably link systemic inflammatory index, sex steroid hormones, and dietary antioxidants to identify gout using the SHAP (SHapley Additive exPlanations) method

Background

The relationship between systemic inflammatory index (SII), sex steroid hormones, dietary antioxidants (DA), and gout has not been determined. We aim to develop a reliable and interpretable machine learning (ML) model that links SII, sex steroid hormones, and DA to gout identification.

Methods

The dataset we used to study the relationship between SII, sex steroid hormones, DA, and gout was from the National Health and Nutrition Examination Survey (NHANES). Six ML models were developed to identify gout by SII, sex steroid hormones, and DA. The seven performance discriminative features of each model were summarized, and the eXtreme Gradient Boosting (XGBoost) model with the best overall performance was selected to identify gout. We used the SHapley Additive exPlanation (SHAP) method to explain the XGBoost model and its decision-making process.

Results

An initial survey of 20,146 participants resulted in 8,550 being included in the study. Selecting the best performing XGBoost model associated with SII, sex steroid hormones, and DA to identify gout (male: AUC: 0.795, 95% CI: 0.746- 0.843, accuracy: 98.7%; female: AUC: 0.822, 95% CI: 0.754- 0.883, accuracy: 99.2%). In the male group, The SHAP values showed that the lower feature values of lutein + zeaxanthin (LZ), vitamin C (VitC), lycopene, zinc, total testosterone (TT), vitamin E (VitE), and vitamin A (VitA), the greater the positive effect on the model output. In the female group, SHAP values showed that lower feature values of E2, zinc, lycopene, LZ, TT, and selenium had a greater positive effect on model output.

Conclusion

The interpretable XGBoost model demonstrated accuracy, efficiency, and robustness in identifying associations between SII, sex steroid hormones, DA, and gout in participants. Decreased TT in males and decreased E2 in females may be associated with gout, and increased DA intake and decreased SII may reduce the potential risk of gout.

Inflammatory markers are associated with infertility prevalence: a cross-sectional analysis of the NHANES 2013-2020

BACKGROUND

Inflammation exerts a critical role in the pathogenesis of infertility. The relationship between inflammatory parameters from peripheral blood and infertility remains unclear. Aim of this study was to investigate the association between inflammatory markers and infertility among women of reproductive age in the United States.

METHODS

Women aged 20-45 were included from the National Health and Nutrition Examination Survey (NHANES) 2013-2020 for the present cross-sectional study. Data of reproductive status was collected from the Reproductive Health Questionnaire. Six inflammatory markers, systemic immune inflammation index (SII), lymphocyte count (LC), product of platelet and neutrophil count (PPN), platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR) and lymphocyte-monocyte ratio (LMR) were calculated from complete blood counts in mobile examination center. Survey-weighted multivariable logistic regression was employed to assess the association between inflammatory markers and infertility in four different models, then restricted cubic spline (RCS) plot was used to explore non-linearity association between inflammatory markers and infertility. Subgroup analyses were performed to further clarify effects of other covariates on association between inflammatory markers and infertility.

RESULTS

A total of 3,105 women aged 20-45 was included in the final analysis, with 431 (13.88%) self-reported infertility. A negative association was found between log2-SII, log2-PLR and infertility, with an OR of 0.95 (95% CI: 0.78,1.15; p = 0.60), 0.80 (95% CI:0.60,1.05; p = 0.10), respectively. The results were similar in model 1, model 2, and model 3. Compared with the lowest quartile (Q1), the third quartile (Q3) of log2-SII was negatively correlation with infertility, with an OR (95% CI) of 0.56 (95% CI: 0.37,0.85; p = 0.01) in model 3. Similarly, the third quartile (Q3) of log2-PLR was negatively correlation with infertility, with an OR (95% CI) of 0.61 (95% CI: 0.43,0.88; p = 0.01) in model 3. No significant association was observed between log2-LC, log2-PPN, log2-NLR, log2-LMR and infertility in model 3. A similar U-shaped relationship between log2-SII and infertility was found (p for non-linear < 0.05). The results of subgroup analyses revealed that associations between the third quartile (Q3) of log2-SII, log2-PLR and infertility were nearly consistent.

CONCLUSION

The findings showed that SII and PLR were negatively associated with infertility. Further studies are needed to explore their association better and the underlying mechanisms.

Increased Systemic Immune-Inflammation Index Was Associated with Type 2 Diabetic Peripheral Neuropathy: A Cross-Sectional Study in the Chinese Population

Background

Systemic immune-inflammation index (SII), a novel inflammatory marker, has been demonstrated to be associated with type 2 diabetes mellitus (T2DM) and its vascular complications, however, the relation between SII and diabetic peripheral neuropathy (DPN) has been never reported. We aimed to explore whether SII is associated with DPN in Chinese population.

Methods

A cross-sectional study was conducted among 1460 hospitalized patients with T2DM. SII was calculated as the platelet count × neutrophil count/lymphocyte count, and its possible association with DPN was investigated by correlation and multivariate logistic regression analysis, and subgroup analyses.

Results

Patients with higher SII quartiles had higher vibration perception threshold and prevalence of DPN (all P<0.01), and SII was independently positively associated with the prevalence of DPN (P<0.01). Multivariate logistic regression analysis showed that the risk of prevalence of DPN increased progressively across SII quartiles (P for trend <0.01), and participants in the highest quartile of SII was at a significantly increased risk of prevalent DPN compared to those in the lowest quartile after adjustment for potential confounding factors (odds rate: 1.211, 95% confidence intervals 1.045-1.404, P<0.05). Stratified analysis revealed positive associations of SII quartiles with risk of prevalent DPN only in men, people less than 65 years old, with body mass index <24 kg/m2, duration of diabetes >5 years, hypertension, dyslipidaemia, poor glycaemic control, and estimated glomerular filtration rate <90 mL/min/1.73 m2 (P for trend <0.01 or P for trend <0.05). The receiver operating characteristic curve analysis revealed that the optimal cut-off point of SII for predicting DPN was 617.67 in patients with T2DM, with a sensitivity of 45.3% and a specificity of 73%.

Conclusion

The present study showed that higher SII is independently associated with increased risk of DPN, and SII might serve as a new risk biomarker for DPN in Chinese population.

Comprehensive analysis of the association between inflammation indexes and complications in patients undergoing pancreaticoduodenectomy

Background

During clinical practice, routine blood tests are commonly performed following pancreaticoduodenectomy (PD). However, the relationship between blood cell counts, inflammation-related indices, and postoperative complications remains unclear.

Method

We conducted a retrospective study, including patients who underwent PD from October 2018 to July 2023 at the First Hospital of Chongqing Medical University, and compared baseline characteristics and clinical outcomes among different groups. Neutrophil count (NC), platelet count (PLT), lymphocyte count (LC), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and the product of platelet count and neutrophil count (PPN) were derived from postoperative blood test results. We investigated the association between these indicators and outcomes using multivariable logistic regression and restricted cubic spline analysis. The predictive performance of these indicators was assessed by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and decision curve analysis (DCA).

Result

A total of 232 patients were included in this study. Multivariate logistic regression and restricted cubic spline analysis showed that all indicators, except for PLT, were associated with clinical postoperative pancreatic fistula (POPF). SII, NLR, and NC were linked to surgical site infection (SSI), while SII, NLR, and PLR were correlated with CD3 complication. PLT levels were related to postoperative hemorrhage. SII (AUC: 0.729), NLR (AUC: 0.713), and NC (AUC: 0.706) effectively predicted clinical POPF.

Conclusion

In patients undergoing PD, postoperative inflammation-related indices and blood cell counts are associated with various complications. NLR and PLT can serve as primary indicators post-surgery for monitoring complications.