OBJECTIVES

A growing body of evidence points to a positive association between periodontitis and
various systemic diseases, including cardiovascular diseases (CVD), hypertension, and rheumatoid arthritis. However,
there is limited data on the prevalence and odds of having systemic conditions among Filipino periodontal patients.
Thus, this study aimed to determine the association of periodontal disease with systemic conditions among Filipino
patients at a university dental clinic.

METHODS

The periodontal and medical charts of all patients who underwent periodontal consult at a university
dental clinic within two academic years were reviewed. Periodontal diagnoses which had originally been assigned
using the 1999 classification of periodontal diseases were reclassified based on the 2018 European Federation
of Periodontology-American Academy of Periodontology classification. Listed medical conditions in the patients’
charts were self-reported. The prevalence of various systemic conditions in 715 periodontitis cases was compared
to that of 834 control patients without periodontitis. Fisher’s exact test was performed to evaluate the difference
in the prevalence of comorbidities between groups, while adjusted odds ratios (AOR) were computed using logistic
regression analysis, accounting for age, sex, educational attainment, and smoking status.

RESULTS

The prevalence of having at least one systemic condition was significantly higher among periodontitis patients
(44.5%) compared to non-periodontitis patients (36.3%). Compared to controls, a significantly higher number of
periodontitis cases had two systemic comorbidities (P=0.001). The prevalence of hypertension (18.6% versus 5.04%),
CVD including hypertension (20.42% versus 6.95%), arthritis (9.37% versus 3.0%), and diabetes mellitus (5.73% versus
0.84%) were all significantly higher in patients with periodontitis compared to non-periodontitis controls.
The odds of having CVD (AOR=1.81), hypertension (AOR=2.14) and diabetes (AOR=3.05) were higher in periodontitis cases. Meanwhile, the prevalence of asthma (9.23% versus 5.31%), respiratory diseases including asthma (12.95% versus 8.25%), and allergies (18.82% versus 13.71%) were significantly higher in non- periodontitis patients compared to periodontitis cases.

CONCLUSION

Periodontitis patients were more likely to present with CVD, hypertension, and diabetes mellitus. On the other hand, no association was found between periodontitis and respiratory diseases, as well as between periodontitis and asthma.

Human ; Male ; Female ; Adolescent: 13-18 Yrs Old ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Middle Aged: 45-64 Yrs Old ; Aged: 65-79 Yrs Old ; Regression (psychology) ; Respiratory Tract Diseases ; Regression Analysis ; Periodontal Diseases ; Cardiovascular Diseases

OBJECTIVES: To investigate the clinical sub-phenotype (SP) of pediatric acute kidney injury (AKI) and their association with clinical outcomes. METHODS: General status and initial values of laboratory markers within 24 hours after admission to the pediatric intensive care unit (PICU) were recorded for children with AKI in the derivation cohort (n=650) and the validation cohort (n=177). In the derivation cohort, a least absolute shrinkage and selection operator (LASSO) regression analysis was used to identify death-related indicators, and a two-step cluster analysis was employed to obtain the clinical SP of AKI. A logistic regression analysis was used to develop a parsimonious classifier model with simplified metrics, and the area under the curve (AUC) was used to assess the value of this model. This model was then applied to the validation cohort and the combined derivation and validation cohort. The association between SPs and clinical outcomes was analyzed with all children with AKI as subjects. RESULTS: In the derivation cohort, two clinical SPs of AKI (SP1 and SP2) were identified by the two-step cluster analysis using the 20 variables screened by LASSO regression, namely SP_d1 group (n=536) and SP_d2 group (n=114). The simplified classifier model containing eight variables (P<0.05) had an AUC of 0.965 in identifying the two clinical SPs of AKI (P<0.001). The validation cohort was clustered into SP_v1 group (n=156) and SP_v2 group (n=21), and the combined derivation and validation cohort was clustered into SP1 group (n=694) and SP2 group (n=133). After adjustment for confounding factors, compared with the SP1 group, the SP2 group had significantly higher incidence rates of multiple organ dysfunction syndrome and death during the PICU stay (P<0.001), and SP2 was significantly associated with the risk of death within 28 days after admission to the PICU (P<0.001). CONCLUSIONS This study establishes a parsimonious classifier model and identifies two clinical SPs of AKI with different clinical features and outcomes.The SP2 group has more severe disease and worse clinical prognosis.
Humans ; Acute Kidney Injury/diagnosis* ; Prognosis ; Male ; Female ; Child ; Child, Preschool ; Phenotype ; Infant ; Logistic Models ; Adolescent

OBJECTIVES: To explore the predictive factors for non-response to intravenous immunoglobulin (IVIG) in children with Kawasaki disease (KD) and to establish an IVIG non-response prediction scoring model for the Sichuan region. METHODS: A retrospective study was conducted by collecting clinical data from children with KD admitted to four tertiary hospitals in Sichuan Province between 2019 and 2023. Among them, 940 children responded to IVIG, while 74 children did not respond. Multivariate logistic regression analysis was used to identify the predictive factors for non-response to IVIG and to establish a predictive scoring model. The model's effectiveness was assessed using the receiver operating characteristic curve (ROC) and validated with an independent dataset. RESULTS: Multivariate logistic regression analysis showed that the platelet-to-lymphocyte ratio (PLR), hemoglobin (Hb), serum creatinine, aspartate aminotransferase (AST), and platelet count (PLT) were closely related to non-response to IVIG in children with KD (P<0.05). Based on these indicators, a predictive scoring model was established: PLR > 199, 0.4 points; Hb ≤ 116 g/L, 4 points; AST > 58 U/L, 0.2 points; serum creatinine > 38 µmol/L, 3.9 points; PLT count ≤ 275 × 10⁹/L, 0.3 points. Using this model, children with KD were scored, and a total score greater than 4.3 was considered high risk of non-response to IVIG. The sensitivity of the model in predicting non-response to IVIG was 77.0%, specificity was 65.7%, and the area under the ROC curve was 0.746 (95%CI: 0.688-0.805). CONCLUSIONS The predictive scoring model based on PLR, Hb, serum creatinine, AST, and PLT demonstrates good predictive performance for non-response to IVIG in children with KD in the Sichuan region and can serve as a reference for clinical decision-making.
Humans ; Mucocutaneous Lymph Node Syndrome/blood* ; Immunoglobulins, Intravenous/therapeutic use* ; Male ; Female ; Retrospective Studies ; Child, Preschool ; Infant ; Logistic Models ; Child ; Platelet Count ; ROC Curve

OBJECTIVES: To investigate the expression of soluble factor-related apoptosis ligand (sFasL) in peripheral blood and microRNA-147b (miR-147b) in monocytes in children with sepsis and their value in assessing prognosis. METHODS: A prospective study was conducted on 124 children with sepsis (sepsis group), 60 children with common infections (infection group), and 60 healthy children undergoing physical examinations (healthy control group). The independent risk factors for poor prognosis in children with sepsis were analyzed, and the value of serum sFasL and monocyte miR-147b in predicting poor prognosis in children with sepsis was assessed. RESULTS: The serum level of sFasL and the relative expression of miR-147b in monocytes were highest in the sepsis group, followed by the infection group and the healthy control group (P<0.05). The multivariate logistic regression analysis showed that the serum level of sFasL and the relative expression of miR-147b in monocytes were closely associated with the poor prognosis of children with sepsis (P<0.05). The receiver operating characteristic curve analysis showed that the combination of serum sFasL level and relative expression of miR-147b in monocytes had a larger area under the curve compared to each indicator alone in predicting the prognosis of children with sepsis (P<0.05). CONCLUSIONS There are significant increases in the level of sFasL in peripheral blood and the relative expression of miR-147b in monocytes in children with sepsis. The combined use of these two indicators has relatively high clinical value in assessing the prognosis of children with sepsis.
Humans ; Sepsis/diagnosis* ; MicroRNAs/blood* ; Male ; Female ; Monocytes/metabolism* ; Prognosis ; Child, Preschool ; Prospective Studies ; Child ; Infant ; TNF-Related Apoptosis-Inducing Ligand/blood* ; Logistic Models

OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively (P<0.05). Among the constructed regression models, the power function regression model demonstrated the best performance and was therefore chosen as the optimal model for establishing the Z-score calculation formula. Based on this Z-score calculation formula, the detection rate of coronary artery lesions was found to be 21.5% (54/251), which was higher than the detection rate based on absolute values of coronary artery diameter. Notably, in the left anterior descending and left circumflex arteries, the detection rate of coronary artery lesions using this Z-score calculation formula was higher than that of previous classic Z-score calculation formulas. CONCLUSIONS The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
Humans ; Male ; Female ; Child, Preschool ; Child ; Coronary Artery Disease/diagnostic imaging* ; Infant ; Mucocutaneous Lymph Node Syndrome ; Regression Analysis ; Coronary Vessels/diagnostic imaging* ; Echocardiography ; Adolescent

OBJECTIVES: To study the risk factors for hypoxemia in children with severe Mycoplasma pneumoniae pneumonia (SMPP). METHODS: A retrospective collection of clinical data from children diagnosed with SMPP at the Third Affiliated Hospital of Zhengzhou University from June to December 2023 was conducted. The patients were categorized into hypoxemia and non-hypoxemia groups. Logistic regression analysis was used to assess the risk factors for hypoxemia, and receiver operating characteristic (ROC) curve analysis was employed to analyze the diagnostic performance of various indicators. RESULTS: A total of 113 children with SMPP were included. Univariate logistic regression analysis showed that ferritin, aspartate aminotransferase, creatinine, creatine kinase isoenzyme, lactate dehydrogenase, alpha-hydroxybutyrate dehydrogenase, immunoglobulin G, complement C3, complement C4, age, extrapulmonary complications, and a chest computed tomography (CT) scan showing a bronchiolitis pattern were significant factors for hypoxemia in children with SMPP (P<0.05). Multivariate logistic regression analysis revealed that elevated ferritin levels, presence of extrapulmonary complications, and a bronchiolitis pattern on lung CT were independent risk factors for hypoxemia in these patients (P<0.05). The ROC curve analysis indicated that the combination of these three indicators for predicting hypoxemia had a sensitivity of 71.9%, a specificity of 95.1%, and an area under the curve of 0.888 (95%CI: 0.809-0.968). CONCLUSIONS In children with SMPP, when there are elevated ferritin levels, a bronchiolitis pattern on chest CT, and the presence of extrapulmonary complications, there should be a high level of vigilance for the potential development of hypoxemia.
Humans ; Pneumonia, Mycoplasma/complications* ; Male ; Female ; Risk Factors ; Child, Preschool ; Hypoxia/etiology* ; Retrospective Studies ; Child ; Logistic Models ; Infant ; ROC Curve ; Adolescent

OBJECTIVES: To explore the impact of different treatment attitudes on the survival status of extremely preterm infants (EPIs) and evaluate the mortality and occurrence of severe complications in actively treated infants, as well as their risk factors. METHODS: A retrospective analysis was conducted on perinatal data of EPIs born between January 1, 2016, and December 31, 2023, who were admitted to the neonatal intensive care unit of Nanjing Women and Children's Healthcare Hospital within 24 hours after birth. The analysis focused on the attributable risk of mortality associated with different treatment attitudes in EPIs of varying gestational ages and birth weights. A multivariate logistic regression model was used to analyze the risk factors for mortality and severe complications in the actively treated group. RESULTS: A total of 485 EPIs were included. As gestational age or birth weight increased, the attributable risk of mortality with care withdrawal increased. Active treatment significantly improved the survival status of EPIs born at a gestational age of ≥24 weeks. Multivariate logistic regression analysis indicated that lower gestational age and the need for mechanical ventilation within 72 hours after birth were independent risk factors for mortality or severe complications in EPIs (P<0.05). CONCLUSIONS Active treatment can significantly extend the survival time of EPIs born at a gestational age of ≥24 weeks. Lower gestational age and the need for mechanical ventilation within 72 hours after birth are closely associated with poor survival outcomes in EPIs.
Humans ; Retrospective Studies ; Infant, Extremely Premature ; Risk Factors ; Infant, Newborn ; Female ; Male ; Gestational Age ; Logistic Models ; Birth Weight

OBJECTIVES: To explore the predictive factors for hemodynamically significant patent ductus arteriosus (hsPDA) in preterm infants and to construct a nomogram prediction model for hsPDA occurrence in this population. METHODS: A retrospective analysis was conducted on the clinical data of preterm infants with gestational age <32 weeks diagnosed with patent ductus arteriosus (PDA) who were delivered at Nanjing Women and Children's Healthcare Hospital from January 2020 to December 2022. The subjects were divided into an hsPDA group (52 cases) and a non-hsPDA group (176 cases) based on the presence of hsPDA. Univariate analysis and multivariate logistic regression analysis were performed to screen predictive variables regarding the general information of the infants at birth, maternal pregnancy and delivery conditions, and relevant indicators during hospitalization. A nomogram prediction model for hsPDA occurrence was constructed using R software in preterm infants. Internal validation was performed using the Bootstrap method. Finally, the predictive model was evaluated for calibration, discrimination ability, and clinical utility. RESULTS: Multivariate regression analysis showed that the ratio of the left atrium to aorta diameter (LA/AO), mode of delivery (vaginal), and duration of mechanical ventilation were independent predictive factors for hsPDA in preterm infants (P<0.05). Based on the results of univariate analysis and multivariate logistic regression analysis, variables used to construct the nomogram prediction model for hsPDA risk included: LA/AO ratio, mode of delivery (vaginal), duration of mechanical ventilation, 5-minute Apgar score, and the presence of neonatal respiratory distress syndrome requiring surfactant therapy. The area under the receiver operating characteristic curve for this model was 0.876 (95%CI: 0.824-0.927), and the calibrated curve was close to the ideal reference line, indicating good calibration. The Hosmer-Lemeshow test demonstrated that the model fit well, and the clinical decision curve was above the extreme curves. CONCLUSIONS The nomogram prediction model, constructed using five variables (LA/AO ratio, vaginal delivery, duration of mechanical ventilation, 5-minute Apgar score, and the presence of neonatal respiratory distress syndrome requiring surfactant therapy), has reference significance for predicting the occurrence of hsPDA in preterm infants and provides valuable guidance for the early clinical identification of hsPDA.
Humans ; Ductus Arteriosus, Patent/etiology* ; Nomograms ; Female ; Infant, Newborn ; Infant, Premature ; Retrospective Studies ; Male ; Hemodynamics ; Logistic Models ; Pregnancy

OBJECTIVES: To explore the risk factors of feeding intolerance (FI) in critically ill children receiving enteral nutrition (EN) and to construct a prediction nomogram model for FI. METHODS: A retrospective study was conducted to collect data from critically ill children admitted to the Pediatric Intensive Care Unit of Xiangya Hospital, Central South University, between January 2015 and October 2020. The children were randomly divided into a training set (346 cases) and a validation set (147 cases). The training set was further divided into a tolerance group (216 cases) and an intolerance group (130 cases). Multivariate logistic regression analysis was used to screen for risk factors for FI in critically ill children receiving EN. A nomogram was constructed using R language, which was then validated on the validation set. The model's discrimination, calibration, and clinical net benefit were evaluated using receiver operating characteristic curves, calibration curves, and decision curves. RESULTS: Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition were identified as independent risk factors for FI in critically ill children receiving EN (P<0.05). Based on these factors, a nomogram prediction model for FI in critically ill children receiving EN was developed. The area under the receiver operating characteristic curve for the training set and validation set was 0.934 (95%CI: 0.906-0.963) and 0.852 (95%CI: 0.787-0.917), respectively, indicating good discrimination of the model. The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good fit (χ 2=12.559, P=0.128). Calibration curve and decision curve analyses suggested that the model has high predictive efficacy and clinical application value. CONCLUSIONS Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition are independent risk factors for FI in critically ill children receiving EN. The nomogram model developed based on these factors exhibits high predictive efficacy and clinical application value.
Humans ; Critical Illness ; Enteral Nutrition/adverse effects* ; Male ; Risk Factors ; Female ; Child, Preschool ; Infant ; Nomograms ; Retrospective Studies ; Child ; Logistic Models

OBJECTIVES: To study the clinical characteristics and risk factors of pyogenic liver abscess complicated by sepsis in children. METHODS: A retrospective analysis was conducted on the clinical data of 120 children with pyogenic liver abscess admitted from May 2004 to January 2024. According to the presence of sepsis, the children were divided into a sepsis group (82 cases) and a non-sepsis group (38 cases). The clinical characteristics of the two groups were compared, and risk factors associated with the occurrence of sepsis were identified. RESULTS: Among the 120 children with pyogenic liver abscess, 68.3% (82/120) had sepsis. Multivariate logistic regression analysis showed that fever, elevated white blood cell count, and decreased albumin level were closely associated with the occurrence of sepsis (P<0.05). Receiver operating characteristic curve analysis indicated that white blood cell count and albumin levels had significant predictive value for sepsis (P<0.05), and the combination of white blood cell count and albumin level showed higher predictive value for sepsis than the albumin level alone (P<0.05). CONCLUSIONS The clinical manifestations of children with pyogenic liver abscess complicated by sepsis are non-specific. Fever, elevated white blood cell count, and decreased albumin level are risk factors for sepsis in children with pyogenic liver abscess. Clinically, for children with unexplained fever and imaging suggestive of liver abscess, pyogenic liver abscess should be considered. If laboratory tests show elevated white blood cell count and decreased albumin level simultaneously, there should be a high level of suspicion for the development of sepsis.
Humans ; Liver Abscess, Pyogenic/blood* ; Male ; Female ; Risk Factors ; Retrospective Studies ; Sepsis/etiology* ; Child, Preschool ; Infant ; Child ; Leukocyte Count ; Logistic Models ; Adolescent ; Serum Albumin/analysis*