BACKGROUND: Depression among older adults is an important public health issue, and air and noise pollution have been found to contribute to exacerbation of depressive symptoms. This study examined the association of exposure to air and noise pollutants with clinically-newly-diagnosed depressive disorder. The mediating role of individual pro-inflammatory markers was explored. METHODS: We linked National Health Insurance claim data with 2998 healthy community-dwellers aged 55 and above who participated in the Healthy Aging Longitudinal Study between 2009 and 2013. Newly diagnosed depressive disorder was identified using diagnostic codes from the medical claim data. Pollutants were estimated using nationwide land use regression, including PM_2.5 and PM₁₀, carbon monoxide, ozone, nitrogen dioxide, sulfur dioxide, and road traffic noise. Cox proportional hazard models were employed to examine the association between pollutants and newly developed depressive disorders. The mediating effect of serum pro-inflammatory biomarkers on the relationship was examined. RESULTS: Among the 2998 participants, 209 had newly diagnosed depressive disorders. In adjusted Cox proportional hazard models, one interquartile range increase in PM_2.5 (8.53 µg/m³) was associated with a 17.5% increased hazard of developing depressive disorders. Other air pollutants and road traffic noise were not linearly associated with depressive disorder incidence. Levels of serum tumor necrosis factor receptor 1 mediated the relationship between PM_2.5 and survival time to newly onset depressive disorder. CONCLUSION PM_2.5 is related to an increased risk of newly developed depressive disorder among middle-aged and older adults, and the association is partially mediated by the pro-inflammatory marker TNF-R1.
Humans ; Particulate Matter/analysis* ; Male ; Female ; Middle Aged ; Longitudinal Studies ; Aged ; Incidence ; Air Pollutants/analysis* ; Environmental Exposure/adverse effects* ; Taiwan/epidemiology* ; Receptors, Tumor Necrosis Factor, Type I/blood* ; Proportional Hazards Models ; Biomarkers/blood* ; Depression/epidemiology* ; Aged, 80 and over ; Depressive Disorder/chemically induced* ; Risk Factors ; Air Pollution/adverse effects*

OBJECTIVE: To analyze the risk factors for ventilator-associated pneumonia (VAP) and its prognosis in patients with severe craniocerebral injury. METHODS: A prospective observational study was conducted. Patients with severe craniocerebral injury admitted to the Second Affiliated Hospital of Xingtai Medical College from January 2020 to December 2022 were enrolled as the study subjects. Patients were divided into VAP group and non-VAP group based on the occurrence of VAP. VAP patients were further stratified into low-risk group [sequential organ failure assessment (SOFA) score 0-5], moderate-risk group (SOFA score 6-8), and high-risk group (SOFA score ≥ 9). General data, serological indicators [interleukin-6 (IL-6), interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and signal transducer and activator of transcription 3 (STAT3)], and 28-day prognosis (with mortality as the endpoint event) were compared. Multivariate Logistic regression was used to identify risk factors for VAP and 28-day mortality. Linear regression was applied to analyze the correlations between risk factors and outcomes. RESULTS: A total of 140 patients with severe craniocerebral injury were enrolled, including 49 in the VAP group and 91 in the non-VAP group. The primary cause of injury was traffic accidents, followed by falls and heavy object impacts. Among VAP patients, 38 survived and 11 died within 28 days; 112 were classified as low-risk, 25 as moderate-risk, and 12 as high-risk. Significant differences were observed in age, body mass index (BMI), smoking history, hypertension, diabetes, hyperlipidemia, length of hospital stay, duration of mechanical ventilation, serum albumin levels, and frequency of sputum suction among different subgroups. Serologically, IL-1β, TNF-α, IL-6, and STAT3 mRNA expression levels in the VAP group were significantly higher than those in the non-VAP group. Deceased VAP patients exhibited higher IL-1β, TNF-α, IL-6, and STAT3 mRNA levels compared to survivors. These biomarkers progressively increased from low-risk to high-risk subgroups. Multivariate Logistic regression identified age [odds ratio (OR) were 0.328 and 0.318], BMI (OR were 0.340 and 0.268), hypertension (OR were 0.275 and 0.245), diabetes (OR were 0.319 and 0.307), hyperlipidemia (OR were 0.228 and 0.235), smoking history (OR were 0.255 and 0.240), length of hospital stay (OR were 0.306 and 0.230), duration of mechanical ventilation (OR were 0.247 and 0.219), frequency of sputum suction (OR were 0.325 and 0.228), IL-1β (OR were 0.231 and 0.259), TNF-α (OR were 0.308 and 0.235), IL-6 (OR were 0.298 and 0.277), and STAT3 (OR were 0.259 and 0.265) as independent risk factors for both VAP occurrence and 28-day mortality (all P < 0.05). Correlation analysis revealed that serum albumin levels were negatively correlated with VAP occurrence and mortality (all P < 0.01), while other factors showed positive correlations (all P < 0.01). CONCLUSIONS Age, BMI, length of hospital stay, duration of mechanical ventilation, frequency of sputum suction, hypertension, diabetes, hyperlipidemia, smoking history, IL-1β, TNF-α, and IL-6/STAT3 signaling pathway activation are significantly associated with VAP development and poor prognosis in patients with severe craniocerebral injury, providing a scientific basis for targeted clinical interventions.
Humans ; Risk Factors ; Pneumonia, Ventilator-Associated ; Prognosis ; Prospective Studies ; Craniocerebral Trauma/complications* ; Interleukin-6/blood* ; Male ; Female ; STAT3 Transcription Factor/blood* ; Interleukin-1beta/blood* ; Tumor Necrosis Factor-alpha/blood* ; Middle Aged ; Adult ; Logistic Models

Objective: To investigate the potential independent risk factors of body mass rebound following laparoscopic sleeve gastrectomy (LSG) and construct a nomogram prediction model based on these factors. Methods: In this retrospective observational study, patients with obesity who had undergone LSG at the Department of Gastrointestinal Surgery of the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University between January 2015 and July 2017 were retrospectively enrolled. These patients were divided according to their status of postoperative body mass rebound. The inclusion criteria were patients aged between 16 and 65 years who had undergone LSG bariatric surgery with surgical indications according to the 2014 Chinese Guidelines for the Surgical Management of Obesity and Type 2 Diabetes Mellitus. The exclusion criteria were patients who had undergone other bariatric surgeries, who were taking weight-loss drugs or drugs that affected their body weight, who had severe gastroesophageal reflux and hiatal hernia, who were pregnant, who had incomplete clinical data, and who were lost to follow-up or were followed up for <3 years. In total, 241 patients with obesity (69 males and 172 females) who had undergone LSG surgery were enrolled. The mean age and body mass index (BMI) were (29.9±5.8) years and (40.8±4.8) kg/m², respectively. The patients were followed up till July 2022, with a focus on their body weight. Postoperative body mass rebound was defined as a percentage increase of ≥10% from the nadir body mass, which was the lowest body mass during the 3-year follow-up period. The body weight rebound following LSG and its influencing factors were observed, based on which a nomogram model was constructed and evaluated. The relationships between the patients' basic data, clinical indicators, preoperative hematological indicators, postoperative indicators, and body weight rebound following LSG were analyzed via univariate analysis. Independent risk factors were further screened by multivariate logistic regression analysis. Factors with a statistically significant difference were included into the nomogram prediction model. Moreover, the model was internally (modeling set) and externally (validation set, 80 baseline data-matched patients with obesity from our center) validated using receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) via R software. ROC curve analysis was used to analyze the predictive and cutoff values of the measurement data for body mass rebound. Results: Overall, 90 patients (37.3%) exhibited postoperative body weight rebound, with the lowest BMI of (29.5±2.6) kg/m² and time to reach the lowest BMI of (15.4±2.3) months; 151 patients (62.7%) did not exhibit body weight rebound, with the lowest BMI of (29.8±2.3) kg/m² and time to reach the lowest BMI of (14.7±2.1) months. The results of univariate analysis showed that BMI, depression, anxiety, C-reactive protein (CRP) levels, systemic immune inflammatory index (SII), prognostic nutritional index (PNI), and albumin/fibrinogen ratio (AFR) were associated with body weight rebound following LSG with statistically significant differences (all P<0.05). The results of multivariate regression analyses suggested that depression [odds ration (OR) = 1.31, 95% confidence interval (CI): 1.08-1.62, P=0.010], preoperative CRP levels of ≥8 mg/L (OR = 1.34, 95% CI: 1.09-1.69, P=0.007), SII (OR = 0.58, 95% CI: 0.41-0.86, P=0.013), PNI (OR = 2.06, 95% CI: 1.03-4.21, P=0.007), and AFR (OR: 0.49, 95% CI: 0.33-0.69, P=0.011) were five independent risk factors for body mass rebound. A nomogram prediction model was constructed based on the multivariate analysis results. The scores of PNI, SII, AFR, CRP, and depression were 92.5, 100, 72.5, 25, and 27.5, respectively. The total score was calculated by adding the individual scores of each risk factor, which was used to calculate the probability of body mass rebound following LSG. The evaluation results of the nomogram model showed a C-index of 0.713 and 0.762, sensitivity of 0.656 and 0.594, and specificity of 0.715 and 0.909 in the modeling and validation sets, respectively. The calibration curve analysis and DCA indicated that the nomogram model has a good predictive value for body mass rebound after LSG. Conclusion: Preoperative depression, CRP of ≥8 mg/L, SII, PNI, and AFR were independent risk factors for body mass rebound following LSG. Hence, the nomogram prediction model based on these factors can effectively predict body mass rebound in patients undergoing LSG.
Adolescent ; Adult ; Aged ; Anti-Obesity Agents ; C-Reactive Protein ; Diabetes Mellitus, Type 2 ; Factor Analysis, Statistical ; Female ; Fibrinogen ; Gastrectomy/methods* ; Humans ; Laparoscopy/methods* ; Male ; Middle Aged ; Nomograms ; Obesity ; Retrospective Studies ; Risk Factors ; Weight Loss ; Young Adult

OBJECTIVE: To analyze the clinical characteristics of patients with rheumatoid arthritis (RA) complicated with venous thrombosis of lower extremities, and to improve the awareness of this condition. METHODS: The clinical and laboratory data of 502 RA patients hospitalized in Department of Rheumatology and Immunology Peking University Third Hospital from November 1, 2013 to December 31, 2020 were collected, retrospective analysis was made on the RA patients who were diagnosed with lower limb vein thrombosis on discharge but hadn't on admission, the patients in this group were defined as thrombosis group, and the other patients without lower limb vein thrombosis were taken as control group. Single factor analysis was conducted between the two groups. Then multivariate Logistic regression analysis was used to analyze the independent risk factors of RA complicated with lower limb venous thrombosis with statistical significance in univariate analysis. RESULTS: There were 34 patients (6.77%) in the thrombosis group and 468 patients (93.23%) in the control group. The age of thrombosis group was 34-86 years (median age was 71 years); 23 were female and 11 were male; there were 20 cases with unilateral lower limb vein thrombosis and 14 cases with bilateral lower limb vein thrombosis; pulmonary embolism in 3 cases (low risk).In the thrombosis group 17 (50.0%) patients were bedridden for more than one week or needed crutches/wheelchairs before admission. 29 cases(85.3%)had large joint involvement of lower extremities, including 22 cases of knee joint involvement, 1 case of hip joint involvement, 2 cases of ankle joint involvement, and 4 cases with both knee and hip joint involvement. In the thrombosis group, the high, middle and low disease activity scores 28(DAS28) were 23 (67.6%), 9 (26.5%) and 2 (5.9%), respectively. There were 21 patients in the thrombosis group had completed thrombosis related examinations, only 4 patients were positive for anti-cardiolipin antibody or anti-β2 glycoprotein 1 antibody or lupus anticoagulant, the rests were all negative. In the thrombosis group, age and platelet (PLT) level were significantly higher than those in the control group [71 (60, 77) years vs. 60 (51, 68) years, Z=-3.873, P < 0.01, (328.53× 10⁹±119.06 × 10⁹) /L vs.(278.68 × 10⁹±104.50 × 10⁹)/L, t=2.660, P < 0.01, respectively]. The proportion of D-Dimer increased in the thrombosis group as well as the positivity rheumatoid factor (RF) was much higher than those in the control group (94.1% vs.66.4%, χ²=11.192, P < 0.01; 85.3% vs.67.1%, χ²=4.852, P < 0.05, respectively). Multivariate Logistic regression analysis showed that age (OR=1.063, 95%CI: 1.026-1.101, P=0.001), D-Dimer increased (OR=4.968, 95%CI: 1.136-21.730, P=0.033) and PLT level (OR=1.004, 95%CI: 1.001-1.007, P=0.022) were the independent risk factors for RA complica-ted with lower extremity venous thrombosis. CONCLUSION RA patients have potential risk of thrombosis of lower extremities. For the older age, D-Dimer and PLT elevated, especially those who were bedridden, RF positive and had high disease activity, should be alert to the risk.
Humans ; Male ; Female ; Aged ; Adult ; Middle Aged ; Aged, 80 and over ; Retrospective Studies ; Rheumatoid Factor ; Venous Thrombosis/complications* ; Arthritis, Rheumatoid/complications* ; Lower Extremity ; Risk Factors ; Thrombosis

OBJECTIVE: To study the risk factors of stroke after of elderly patients with hip fracture after operation. METHODS: From March 2012 to June 2017, 500 elderly patients with hip fracture who underwent hip replacement were selected, including 286 males and 214 females, aged from 60 to 76 years old with an average of (68.49±11.85) years. They were divided into stroke group with 30 cases and control group with 470 cases according to the occurrence of acute stroke within two weeks after operation. The general data and serum contents of cytokines IL-1, IL-6, IL-10 and TNF-α were compared between the two groups. The overall survival of the two groups were followed up. RESULTS: There was no significant difference in sex, age, anesthesia method, operation time, intraoperative blood loss, preoperative IL-1, IL-6, IL-10 and TNF-α contenta between stroke group and control group(P>0.05). The prevalence of hypertension, diabetes mellitus, atrial fibrillation, intraoperative hypotension, IL-1, IL-6, IL-10 and TNF-α contenta 1 day and 3 days after operation of stroke group were significantly higher than control group(P<0.05);up to the date of follow-up, the cumulative survival rate of stroke patients were significantly lower than those of the control group(P<0.05). Logistic regression analysis showed that intraoperative hypotension, elevated contents of serum IL-1 and TNF-α at 1 and 3 days after operation were risk factors for acute stroke. CONCLUSION Postoperative stroke in elderly patients with hip fracture affects the prognosis of the disease. The increase of inflammatory cytokines IL-1 and TNF-α after operation is an independent risk factor for stroke.
Aged ; Cytokines ; Female ; Hip Fractures/surgery* ; Humans ; Hypotension ; Interleukin-1 ; Interleukin-10 ; Interleukin-6 ; Male ; Middle Aged ; Risk Factors ; Stroke/etiology* ; Tumor Necrosis Factor-alpha

OBJECTIVES: To investigate the efficacy of intravitreal anti-vascular endothelial growth factor (anti-VEGF) injection in the treatment of retinopathy of prematurity (ROP) and the risk factors for recurrence. METHODS: A retrospective analysis was performed on the medical data of 159 infants with ROP who were born in the First Affiliated Hospital of Zhengzhou University and underwent anti-VEGF treatment from January 2016 to December 2021. According to the presence or absence of recurrence within the follow-up period after initial anti-VEGF treatment, they were divided into a recurrence group with 24 infants and a non-recurrence group with 135 infants. The medical data were compared between the two groups, and a multivariate logistic regression analysis was used to investigate the risk factors for the recurrence of ROP after anti-VEGF treatment. RESULTS: After one-time anti-VEGF treatment, all 159 infants showed regression of plus disease. Recurrence was observed in 24 infants (15.1%) after anti-VEGF treatment, with a mean interval of (8.4±2.6) weeks from treatment to recurrence. The multivariate logistic regression analysis showed that preoperative fundus hemorrhage and prolonged total oxygen supply time were risk factors for the recurrence of ROP (P<0.05), while gestational hypertension was a protective factor (P<0.05). CONCLUSIONS Intravitreal anti-VEGF injection is effective for ROP. Preoperative fundus hemorrhage and long duration of oxygen therapy may increase the risk of ROP recurrence, and further studies are needed to investigate the influence of gestational hypertension on the recurrence of ROP.
Female ; Humans ; Infant ; Infant, Newborn ; Pregnancy ; Angiogenesis Inhibitors/therapeutic use* ; Endothelial Growth Factors/therapeutic use* ; Hemorrhage ; Hypertension, Pregnancy-Induced ; Oxygen/therapeutic use* ; Retinopathy of Prematurity/drug therapy* ; Retrospective Studies ; Risk Factors ; Vascular Endothelial Growth Factor A

OBJECTIVE: To study the risk factors and treatment for neutropenia of late newborns (NLN). METHODS: Related clinical data were collected from the preterm infants and critically ill neonates who were admitted to the neonatal intensive care unit from July 2019 to January 2020. A total of 46 newborns with a blood absolute neutrophil count (ANC) of < 1.5×10 RESULTS: Among the 46 neonates in the NLN group, 29 had a gestational age of < 32 weeks, 14 had a gestational age of 32-37 weeks, and 3 had a gestational age of > 37 weeks. There was no significant difference between the two groups in the incidence rates of gestational hypertension, premature rupture of membranes > 18 hours and intrauterine distress, 5-minute Apgar score, the duration of positive pressure ventilation, the incidence rate of early-onset sepsis, and the type of initially used antibiotics ( CONCLUSIONS The risk of NLN increases with the presence of late-onset sepsis and the increase in the duration of antibiotic use. NLN is generally a benign process. G-CSF appears to be safe and effective for NLN with severe disease conditions or severe reduction in ANC.
Granulocyte Colony-Stimulating Factor ; Humans ; Infant ; Infant, Newborn ; Infant, Premature ; Leukocyte Count ; Neutropenia ; Risk Factors ; Sepsis

BACKGROUND: Risk factors for the development of inhibitors in previously untreated patients (PUPs) have been reported; this is not the case in previously treated patients (PTPs) owing to fewer studies. Risk factors may differ for the development of PTP versus PUP inhibitors. We aimed to identify risk factors for PTP inhibitor development. METHODS: Participants were patients at a hemophilia treatment center in Korea with current or past history of factor VIII or factor IX alloantibodies. Observed inhibitors were classified as PUP or PTP inhibitors based on the cumulative number of exposure days. We compared the type and severity of hemophilia, mutation type, and family history of inhibitor between PUPs and PTPs. Events within 3 months before the first inhibitor detection, such as change of the factor concentrate used, short-term high exposure or continuous infusion of factor concentrate, history of surgery, infection, diagnosis of cancer, use of immunosuppressive or immunomodulator agents, and vaccination were compared between PUPs and PTPs. RESULTS: We observed 5 PUP inhibitors and 5 PTP inhibitors in 115 patients with hemophilia A. Events that might be related to the development of inhibitors within 3 months prior to the first inhibitor detection were observed in all 5 PTPs. On the contrary, no such events were observed in any PUPs. The observed events included a change in the factor concentrate used, subsequent chemotherapy, and short-term high exposure to factor concentrates for controlling hemorrhage and surgeries. CONCLUSION: Our results suggest a greater role of nongenetic factors in PTP inhibitor development.
Diagnosis ; Drug Therapy ; Factor IX ; Factor VIII ; Hemophilia A ; Hemorrhage ; Humans ; Isoantibodies ; Korea ; Prevalence ; Risk Factors ; Vaccination

PURPOSE: Necrotizing enterocolitis (NEC) is one of the most serious complications of prematurity. Many risk factors can contribute to the development of NEC. The epidermal growth factor (EGF) plays a major role in intestinal barrier function, increases intestinal enzyme activity, and improves nutrient transport. The aim of this study was to assess the role of epidermal growth factor in the development of NEC in preterm neonates. METHODS: In this study, 130 preterm neonates were included and divided into 3 groups, as follows: group 1, 40 preterm neonates with NEC; group 2, 50 preterm neonates with sepsis; and group 3, 40 healthy preterm neonates as controls. The NEC group was then subdivided into medical and surgical NEC subgroups. The serum EGF level was measured using enzyme-linked immunosorbent assay. RESULTS: Serum EGF levels (pg/dL) were significantly lower in the NEC group (median [interquartile range, IQR], 9.6 [2–14]) than in the sepsis (10.1 [8–14]) and control groups (11.2 [8–14], P<0.001), with no significant difference between the sepsis and control groups, and were positively correlated with gestational age (r=0.7, P<0.001). A binary logistic regression test revealed that low EGF levels and gestational ages could significantly predict the development of NEC. The receiver-operating characteristic curve for EGF showed an optimal cutoff value of 8 pg/mL, with 73.3% sensitivity, 98% specificity, and an area under the curve of 0.92. CONCLUSION: The patients with NEC in this study had significantly lower serum EGF levels (P<0.001), which indicated that EGF could be a reliable marker of NEC in preterm neonates.
Enterocolitis, Necrotizing ; Enzyme-Linked Immunosorbent Assay ; Epidermal Growth Factor ; Gestational Age ; Humans ; Infant, Newborn ; Logistic Models ; Risk Factors ; Sensitivity and Specificity ; Sepsis

OBJECTIVES: The objective of this study was to examine the socio-demographic disparities in obesity among US adults across 130 metropolitan and micropolitan statistical areas. METHODS: This study used data from the 2015 Behavioral Risk Factor Surveillance System and Selected Metropolitan/Micropolitan Area Risk Trend of 159,827 US adults aged 18 years and older. Data were analyzed using the multilevel linear regression models. RESULTS: According to individual level analyses, socio-demographic disparities in obesity exist in the United States. Individuals with low socioeconomic status were associated with a higher body mass index. The participants from the Midwest United States tend to have higher body mass index than those who from the South. According to metropolitan and micropolitan statistical area level analyses, secondly, there were significant differences in obesity status between different areas and the relation of obesity with 5 socio-demographic factors varied across different areas. According to geospatial mapping analyses, even though obesity status by metropolitan and micropolitan statistical area level has improved overtime, differences in body mass index between United States regions are increasing from 2007 to 2015. CONCLUSION: Socio-demographic and regional disparities in obesity status persist among US adults. Hence, these findings underscore the need to take socio-environmental factors into account when planning obesity prevention on vulnerable populations and areas.
Adult ; Behavioral Risk Factor Surveillance System ; Body Mass Index ; Humans ; Linear Models ; Multilevel Analysis ; Obesity ; Social Class ; United States ; Vulnerable Populations