BACKGROUND: Whether adherence to a healthy lifestyle is associated with a lower risk of developing pneumonia and a better long-term prognosis remains unclear. This study aimed to investigate associations of individual and combined lifestyle factors (LFs) with the incidence risk and long-term prognosis of pneumonia hospitalization. METHODS: Using data from the China Kadoorie Biobank study, we used the multistate models to investigate the role of five high-risk LFs, including smoking, excessive alcohol drinking, unhealthy dietary habits, physical inactivity, and unhealthy body shape, alone or in combination in the transitions from a generally healthy state at baseline to pneumonia hospitalization or cardiovascular disease (CVD, regarded as a reference outcome), and subsequently to mortality. RESULTS: Most of the five high-risk LFs were associated with increased risks of transitions from baseline to pneumonia and from pneumonia to death, but with different risk estimates. The greater the number of high-risk LFs, the higher the risk of developing pneumonia and long-term mortality risk after pneumonia, with the strength of associations comparable to that of LFs and CVD. Compared to participants with 0-1 high-risk LF, the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for transitions from baseline to pneumonia and from pneumonia to death in those with five high-risk LFs were 1.43 (1.28-1.60) and 1.98 (1.61-2.42), respectively. Correspondingly, the respective HRs (95% CIs) for transitions from baseline to CVD and from CVD to death were 2.00 (1.89-2.11) and 1.44 (1.30-1.59), respectively. The risk estimates changed slightly when further adjusting for the presence of major chronic diseases. CONCLUSION In this Chinese population, unhealthy LFs were associated with an increased incidence and long-term mortality risk of pneumonia.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; China/epidemiology* ; Life Style ; Pneumonia/etiology* ; Prognosis ; Risk Factors ; Smoking

Humans ; Bronchiolitis Obliterans/etiology* ; Early Diagnosis ; Pneumonia, Mycoplasma/complications* ; Consensus ; Child ; Mycoplasma pneumoniae ; China/epidemiology* ; Mass Screening ; Adenoviridae Infections/complications*

OBJECTIVES: To investigate the epidemiological characteristics of human metapneumovirus (hMPV) and the risk factors for severe pneumonia in hospitalized children. METHODS: The epidemiological characteristics of hMPV in hospitalized children at Hebei Children's Hospital from January 2019 to December 2023 were retrospectively analyzed. The clinical data of hospitalized children with hMPV infection from April to December 2023 were included, and independent risk factors for severe pneumonia were identified through logistic regression. RESULTS: A total of 44 092 children were tested, with an hMPV positive rate of 7.30% (3 220/44 092). Children aged 3-6 years constituted the largest proportion (40.93%, 1 318/3 220) among hMPV-positive cases. The detection rate varied significantly by year (P<0.001), peaking in 2022 (12.35%, 978/7 919). The peak season of the epidemic was winter and spring from 2019 to 2021, but shifted to spring and summer from 2022 to 2023. The proportion of co-infection was 38.70% (1 246/3 220), primarily with rhinovirus (600/1 246, 48.15%), Mycoplasma pneumoniae (217/1 246, 17.42%), and respiratory syncytial virus (182/1 246, 14.61%). The main manifestations of hMPV pneumonia were cough, expectoration, and fever. Children with severe pneumonia were significantly younger (P<0.05). Wheezing, underlying diseases, co-infection, and younger age were identified as independent risk factors for severe pneumonia (P<0.05). CONCLUSIONS There are significant annual and seasonal differences in the epidemiological characteristics of hMPV in hospitalized children. Young age, underlying diseases, wheezing, and co-infection are independent risk factors for severe pneumonia.
Humans ; Risk Factors ; Metapneumovirus ; Child, Preschool ; Child ; Male ; Female ; Paramyxoviridae Infections/complications* ; Pneumonia/epidemiology* ; Retrospective Studies ; Child, Hospitalized ; Infant ; Logistic Models ; Seasons ; Hospitalization

BACKGROUND: Pneumonia is a major global public health concern. Taking antioxidant nutrients has attracted attention for their potential role in reducing pneumonia mortality. Although studies in Western countries have evaluated this association, the current evidence remains controversial, and research in Asia remains limited. This cohort study investigated the association between dietary antioxidant nutrients intake and pneumonia mortality in Japanese population. METHODS: Data were collected from the Japan Public Health Center-based Prospective Study between 1995 and 1998, with follow-up until the end of 2018. The intake of antioxidant nutrients was assessed using a validated food-frequency questionnaire. The Cox proportional hazard model was employed to calculate hazard ratios (HRs) and p-trends for pneumonia mortality, adjusting for potential confounding factors including age, area, body mass index, smoking status, alcohol intake, physical activity, postmenopausal status, occupation, coffee intake, green tea intake, antihypertensive medication use, vitamin-supplement use, and total energy intake. RESULTS: The analysis included data from 39,850 men and 46,705 women. Over a median follow-up of 20.8 years, 813 men and 477 women died from pneumonia. The multivariable model revealed that a higher intake of cryptoxanthin (p-trend = 0.027 in men; 0.019 in women), lycopene (p-trend = 0.016 in women), vitamin C (p-trend = 0.022 in men), and vitamin E (p-trend = 0.031 in women) was significantly associated with a reduction in pneumonia mortality. CONCLUSIONS Higher dietary intake of cryptonxanthin, lycopene, and vitamins C and E was associated with a low risk of pneumonia mortality in Japanese adults.
Humans ; Male ; Japan/epidemiology* ; Female ; Prospective Studies ; Middle Aged ; Pneumonia/mortality* ; Antioxidants/administration & dosage* ; Diet/statistics & numerical data* ; Aged ; Adult ; Nutrients ; East Asian People

BACKGROUND: Children's respiratory health demonstrates particular sensitivity to air pollution. Existing evidence investigating the association between short-term ozone (O₃) exposure and childhood pneumonia remains insufficient and inconsistent, especially in low- and middle-income countries (LMICs). METHOD: To provide more reliable and persuasive evidence, we implemented a multi-city, time-stratified case-crossover design with a large sample size, using data from seven representative children's hospitals across major geographical regions in China. To avoid the impact of the COVID-19 pandemic, individual-level medical records of inpatient children under 6 years of age diagnosed with pneumonia during 2016-2019 were collected. Conditional logistic regression models were fitted for each city, and city-specific estimates were pooled through a meta-analysis using a random-effects model. RESULTS: In total, the study included 137,470 pediatric pneumonia hospital admissions. The highest pooled estimate for O₃ occurred at lag0-1, with a 10 µg/m³ increase in O₃ associated with a 1.57% (95% CI: 0.67%-2.48%) higher risk of pediatric pneumonia hospital admissions. Stratified analyses indicated that the effects of O₃ were robust across different sexes, age groups, and admission seasons. We also observed a statistically significant increase in risk associated with O₃ concentrations exceeding the World Health Organization Air Quality Guidelines (WHO-AQGs). CONCLUSIONS This study revealed a significant positive association between O₃ and pediatric pneumonia hospital admissions. Our findings substantially strengthen the evidence base for the adverse health impacts of O₃, underscoring the importance of O₃ pollution control and management in reducing the public health burden of pediatric pneumonia.
Humans ; Ozone/analysis* ; China/epidemiology* ; Pneumonia/chemically induced* ; Child, Preschool ; Male ; Female ; Infant ; Cross-Over Studies ; Air Pollutants/analysis* ; Hospitalization/statistics & numerical data* ; Child ; Cities/epidemiology* ; Air Pollution/adverse effects* ; Infant, Newborn ; Environmental Exposure/adverse effects*

OBJECTIVE: To identify early potential risk factors for hospital-acquired pneumonia (HAP) in patients with mild traumatic brain injury (mTBI), construct a risk prediction model, and evaluate its predictive efficacy. METHODS: A case-control study was conducted using clinical data from mTBI patients admitted to the neurosurgery department of Changzhou Second People's Hospital from September 2021 to September 2023. The patients were divided into two groups based on whether they developed HAP. Clinical data within 48 hours of admission were statistically analyzed to identify factors influencing HAP occurrence through univariate analysis. Least absolute shrinkage and selection operator (LASSO) regression analysis was employed for feature selection to identify the most influential variables. The dataset was divided into training and validation sets in a 7:3 ratio. A multivariate Logistic regression analysis was then performed using the training set to construct the prediction model, exploring the risk factors for HAP in mTBI patients and conducting internal validation in the validation set. Receiver operator characteristic curve (ROC curve), decision curve analysis (DCA), and calibration curve were utilized to assess the sensitivity, specificity, decision value, and predictive accuracy of the prediction model. RESULTS: A total of 677 mTBI patients were included, with 257 in the HAP group and 420 in the non-HAP group. The significant differences were found between the two groups in terms of age, maximum body temperature (MaxT), maximum heart rate (MaxHR), maximum systolic blood pressure (MaxSBP), minimum systolic blood pressure (MinSBP), maximum respiratory rate (MaxRR), cause of injury, and laboratory indicators [C-reactive protein (CRP), procalcitonin (PCT), neutrophil count (NEUT), erythrocyte sedimentation rate (ESR), fibrinogen (FBG), fibrinogen equivalent units (FEU), prothrombin time (PT), activated partial thromboplastin time (APTT), total cholesterol (TC), lactate dehydrogenase (LDH), prealbumin (PAB), albumin (Alb), blood urea nitrogen (BUN), serum creatinine (SCr), hematocrit (HCT), hemoglobin (Hb), platelet count (PLT), glucose (Glu), K⁺, Na⁺], suggesting they could be potential risk factors for HAP in mTBI patients. After LASSO regression analysis, the key risk factors were enrolled in the multivariate Logistic regression analysis. The results revealed that the cause of injury being a traffic accident [odds ratio (OR) = 2.199, 95% confidence interval (95%CI) was 1.124-4.398, P = 0.023], NEUT (OR = 1.330, 95%CI was 1.214-1.469, P < 0.001), ESR (OR = 1.053, 95%CI was 1.019-1.090, P = 0.003), FBG (OR = 0.272, 95%CI was 0.158-0.445, P < 0.001), PT (OR = 0.253, 95%CI was 0.144-0.422, P < 0.001), APTT (OR = 0.689, 95%CI was 0.578-0.811, P < 0.001), Alb (OR = 0.734, 95%CI was 0.654-0.815, P < 0.001), BUN (OR = 0.720, 95%CI was 0.547-0.934, P = 0.016), and Na⁺ (OR = 0.756, 95%CI was 0.670-0.843, P < 0.001) could serve as main risk factors for constructing the prediction model. Calibration curves demonstrated good calibration of the prediction model in both training and validation sets with no evident over fitting. ROC curve analysis showed that the area under the ROC curve (AUC) of the prediction model in the training set was 0.943 (95%CI was 0.921-0.965, P < 0.001), with a sensitivity of 83.6% and a specificity of 91.5%. In the validation set, the AUC was 0.917 (95%CI was 0.878-0.957, P < 0.001), with a sensitivity of 90.1% and a specificity of 85.0%. DCA indicated that the prediction model had a high net benefit, suggesting practical clinical applicability. CONCLUSIONS The cause of injury being a traffic accident, NEUT, ESR, FBG, PT, APTT, Alb, BUN, and Na⁺ are identified as major risk factors influencing the occurrence of HAP in mTBI patients. The prediction model constructed using these parameters effectively assesses the likelihood of HAP in mTBI patients.
Humans ; Risk Factors ; Case-Control Studies ; Logistic Models ; Healthcare-Associated Pneumonia/epidemiology* ; Brain Injuries, Traumatic/complications* ; Male ; Female ; ROC Curve ; Pneumonia/etiology* ; Middle Aged ; Adult

Objective: To explore the risk factors of pulmonary hypertension (PH) in premature infants with bronchopulmonary dysplasia (BPD), and to establish a prediction model for early PH. Methods: This was a retrospective cohort study. Data of 777 BPD preterm infants with the gestational age of <32 weeks were collected from 7 collaborative units of the Su Xinyun Neonatal Perinatal Collaboration Network platform in Jiangsu Province from January 2019 to December 2022. The subjects were randomly divided into a training cohort and a validation cohort at a ratio of 8∶2 by computer, and non-parametric test or χ² test was used to examine the differences between the two retrospective cohorts. Univariate Logistic regression and multivariate logistic regression analyses were used in the training cohort to screen the risk factors affecting the PH associated with BPD. A nomogram model was constructed based on the severity of BPD and its risk factors,which was internally validated by the Bootstrap method. Finally, the differential, calibration and clinical applicability of the prediction model were evaluated using the training and verification queues. Results: A total of 130 among the 777 preterm infants with BPD had PH, with an incidence of 16.7%, and the gestational age was 28.7 (27.7, 30.0) weeks, including 454 males (58.4%) and 323 females (41.6%). There were 622 preterm infants in the training cohort, including 105 preterm infants in the PH group. A total of 155 patients were enrolled in the verification cohort, including 25 patients in the PH group. Multivariate Logistic regression analysis revealed that low 5 min Apgar score (OR=0.87, 95%CI 0.76-0.99), cesarean section (OR=1.97, 95%CI 1.13-3.43), small for gestational age (OR=9.30, 95%CI 4.30-20.13), hemodynamically significant patent ductus arteriosus (hsPDA) (OR=4.49, 95%CI 2.58-7.80), late-onset sepsis (LOS) (OR=3.52, 95%CI 1.94-6.38), and ventilator-associated pneumonia (VAP) (OR=8.67, 95%CI 3.98-18.91) were all independent risk factors for PH (all P<0.05). The independent risk factors and the severity of BPD were combined to construct a nomogram map model. The area under the receiver operating characteristic (ROC) curve of the nomogram model in the training cohort and the validation cohort were 0.83 (95%CI 0.79-0.88) and 0.87 (95%CI 0.79-0.95), respectively, and the calibration curve was close to the ideal diagonal. Conclusions: Risk of PH with BPD increases in preterm infants with low 5 minute Apgar score, cesarean section, small for gestational age, hamodynamically significant patent ductus arteriosus, late-onset sepsis, and ventilator-associated pneumonia. This nomogram model serves as a useful tool for predicting the risk of PH with BPD in premature infants, which may facilitate individualized early intervention.
Infant ; Male ; Infant, Newborn ; Humans ; Pregnancy ; Female ; Bronchopulmonary Dysplasia/epidemiology* ; Infant, Premature ; Hypertension, Pulmonary/epidemiology* ; Retrospective Studies ; Nomograms ; Ductus Arteriosus, Patent/epidemiology* ; Pneumonia, Ventilator-Associated/complications* ; Cesarean Section/adverse effects* ; Gestational Age ; Risk Factors ; Sepsis

Adult ; Humans ; Retrospective Studies ; Pneumonia ; Community-Acquired Infections/epidemiology* ; Hospitalization

PURPOSE: Hip fractures among elderly patients are surgical emergencies. During COVID-19 pandemic time, many such patients could not be operated at early time because of the limitation of the medical resources, the risk of infection and redirection of medical attention to a severe infective health problem. METHODS: A search of electronic databases (PubMed, Medline, CINAHL, EMBASE and the Cochrane Central Register of Controlled Trials) with the keywords "COVID", "COVID-19″, "SARS-COV-2", "Corona", "pandemic", "hip fracture", "trochanteric fracture" and "neck femur fracture" revealed 64 studies evaluating treatment of hip fracture in elderly patients during COVID-19 pandemic time. The 30-day mortality rate, inpatient mortality rate, critical care/special care need, readmission rate and complications rate in both groups were evaluated. Data were analyzed using Review Manager (RevMan) V.5.3. RESULTS: After screening, 7 studies were identified that described the mortality and morbidity in hip fractures in both COVID-19 infected (COVID-19 +) and non-infected (COVID-19 -) patients. There were significantly increased risks of 30-day mortality (32.23% COVID-19 + death vs. 8.85% COVID-19 - death) and inpatient mortality (29.33% vs. 2.62%) among COVID-19 + patients with odds ratio (OR) of 4.84 (95% CI: 3.13 - 7.47, p < 0.001) and 15.12 (95% CI: 6.12 - 37.37, p < 0.001), respectively. The COVID-19 + patients needed more critical care admission (OR = 5.08, 95% CI: 1.49 - 17.30, p < 0.009) and they remain admitted for a longer time in hospital (mean difference = 3.6, 95% CI: 1.74 - 5.45, p < 0.001); but there was no difference in readmission rate between these 2 groups. The risks of overall complications (OR = 17.22), development of pneumonia (OR = 22.25), and acute respiratory distress syndrome/acute respiratory failure (OR = 32.96) were significantly high among COVID-19 + patients compared to COVID-19 - patients. CONCLUSIONS There are increased risks of the 30-day mortality, inpatient mortality and critical care admission among hip fracture patients who are COVID-19 +. The chances of developing pneumonia and acute respiratory failure are more in COVID-19 + patients than in COVID-19 ‒ patients.
Humans ; Aged ; COVID-19/epidemiology* ; Pandemics ; Hospital Mortality ; Hip Fractures/surgery* ; Pneumonia ; Morbidity ; Respiratory Insufficiency/complications*

Objective: To analyze the differences between adults and children in the epidemic characteristics and clinical manifestations of chickenpox and provide a reference for the prevention strategy adjustment of chickenpox. Methods: The incidence data of chickenpox surveillance in Shandong Province from January 2019 to December 2021 were collected. Descriptive epidemiological methods were used to analyze the distribution of cases, and the chi-square test was used to compare the differences in epidemiological characteristics and clinical manifestations of varicella cases between adults and children. Results: A total of 66 182 cases of chickenpox were reported from 2019 to 2021, including 24 085 cases of adults chickenpox, the male to female sex ratio was 1∶1 (12 032∶12 053), basically the same for men and women, and 42 097 cases of children chickenpox, with a gender ratio of 1.4∶1, the male to female ratio was 1.4∶1 (24 699∶17 398). Fever in chickenpox cases was mainly low and moderate, but the proportion of moderate fever with temperature between 38.1 and 39.0 ℃ in children cases (35.0%,14 744/42 097) was significantly higher than that in adults (32.0%,7 696/24 085). The number of herpes in chickenpox cases was mainly less than 50, but the proportion of severe cases with 100-200 herpes in children was higher than that in adults. The incidence rate of complications was 1.4% (333/24 085) in adults chickenpox, the incidence rate of complications was 1.7% (731/42 097) in children chickenpox. The incidence of encephalitis and pneumonia in children was higher than in adults, and the difference was statistically significant (P<0.05). The proportion of chickenpox cases was mainly outpatient, but the hospitalization rate of children cases was 14.4% (6 049/42 097), higher than that of adults, which was 10.7% (2 585/24 085). Conclusions: There were differences between adult chickenpox and child chickenpox in terms of epidemic and clinical manifestations; the symptoms of child chickenpox were more serious than adult chickenpox. However, the adult chickenpox population is generally susceptible and lacks immune strategy protection, which calls for more attention.
Child ; Humans ; Adult ; Male ; Female ; Infant ; Chickenpox/prevention & control* ; Hospitalization ; Incidence ; Pneumonia/epidemiology* ; Epidemics ; Fever/epidemiology* ; Chickenpox Vaccine