OBJECTIVES

This study determined the prevalence of BBD among toilet-trained children attending a tertiary hospital’s pediatric outpatient clinic, and to evaluate the effectiveness of standard urotherapy among affected children.

A prospective interventional study was conducted among 144 toilet-trained children aged 7 to 12 years seen at the University of Santo Tomas Hospital outpatient clinic from August 2025 to September 2025. Sociodemographic data were collected, and BBD was screened using the validated Filipino version of the Dysfunctional Voiding Symptom Scores (DVSS) questionnaire. Children with BBD underwent standard urotherapy, which included behavioral and lifestyle interventions such as timed voiding, adequate hydration, constipation management and proper voiding posture. DVSS assessments were repeated at two and four weeks.

The overall prevalence of BBD was 22.9% (33 of 144). BBD was significantly more prevalent among females (31.88%) than males (14.67%) (adjusted OR = 2.96, 95% CI: 1.28–6.86; p = 0.011). At baseline, children with BBD had significantly higher mean total DVSS scores (9.15 ± 3.64) compared to those without (2.01 ± 1.80, pCONCLUSION

Standard urotherapy proved effective in reducing symptom scores within two weeks and resulted in complete clinical resolution after four weeks among those who continued therapy. Routine screenings for BBD using DVSS and early initiation of standard urotherapy in pediatric outpatient settings are recommended to prevent complications and improve children’s urinary and bowel health.

BACKGROUND AND OBJECTIVE

Access to healthcare remains a challenge in most areas in the Philippines. Fifty-three percent (53%) of the Philippine population do not have access to a rural health unit (RHU) within a 30-minute travel t ime. As a response, the Department of Health (DOH) needs to construct an additional 2400 RHUs by 2025. This paper uses the Philippine Health Facility Development Plan 2020-2040 (PHFDP) as a reference to present a solution for locating sites for RHU placement in under-served areas using neural networks to meet the 30-minute travel time by maximizing population accessibility.

RHU accessibility was measured using geographic attributes as inputs to a back propagation neural network (BPNN) and a recurrent neural network (RNN): (1) land coverage and hazard data, representing geographical limitations; (2) population density and distribution, indicating demand for healthcare services; and (3) infrastructure-related features, such as road networks, points of interest, and the locations of existing RHUs, which influence healthcare accessibility. The models were trained to identify underserved areas and were implemented on a nationwide scale, excluding NCR, to locate candidate areas to increase population access to the new RHUs. The models were validated using a healthcare facility accessibility index (HCFAI) to assess RHU coverage improvement.

The BPNN showed stronger generalization across regions, achieving 79.1% average accuracy in distinguishing low from high accessible areas on Region 1 and identifying 1668 out of 3305 locations in the region as candidate sites. The RNN, better capturing unique regional characteristics, required separate training: 77.2% average accuracy on Region 1, identifying 1593 candidate sites. Our findings suggest expanding the use of land improves population access to healthcare facilities. Both models found more than the needed number of RHUs by 2040. The BPNN was more consistent than RNN to improve a region’s overall accessibility by increasing the HCFAI. The BPNN can increase population access to an RHU from 2.5-98.5% from its original population with access to an RHU.

The study demonstrates the usage of geographic attributes and neural networks to improve healthcare accessibility. The BPNN and RNN are adequate algorithms to find under-served areas and candidate sites for RHU construction to maximize population accessibility. The HCFAI metric validates the locations to highlight which neural network maximizes more of the region’s populat ion. The study contributes to ongoing efforts to improve healthcare infrastructure and accessibility, offering datadriven recommendations for RHU locations.

BACKGROUND: Hospitalization in neonatal intensive care units (NICU) exposes preterm infants to adverse stimuli, including continuous 24-hour lighting. There is currently no standardized NICU layout advised for the best development of preterm neonates. This meta-analysis aimed to assess the impact of cycled light (CL) exposure on clinical outcomes in premature infants admitted to NICU as synthesized in previous studies. MATERIALS AND METHODS: This meta-analysis protocol was developed following the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) statement. A search was performed in PubMed/MEDLINE, EMBASE, Scopus, and Cochrane databases using the MeSH/key words: ―light exposure‖ AND pre-term AND cycled AND (RCT OR trials OR ―randomized controlled trial). The pooled Mean Difference with corresponding 95% CI was computed for weight gain, duration until start of enteral feeding, and duration of ICU stay using the Mantel–Haenszel random-effect model. RESULTS: Nine studies were included. The pooled mean difference showed that among preterm infants who had cycled light exposure, average daily weight gain (MD=6.24 grams, 95%CI=1.36 to 11.13, p=0.01) was significantly higher than those with continuous light exposure. The average time to start enteral feeding (MD=-3.84 days, 95%CI=-7.56 to -0.13, p=0.04) and average ICU stay (MD=-8.43 days, 95%CI=-12.54 to -4.31, p<0.0001) among neonates who had cycled light exposure were significantly shorter. CONCLUSION Benefits were seen in preterm infants when exposed to cycled light as opposed to continuous light. CL exposed infants showed a daily weight gain that was 6.24 grams higher, on average, and began enteral feeding nearly 4 days sooner. It led to a decrease in the duration of ICU stay by around 8 to 9 days on average. Further trials to determine the impact of cycled light exposure on morbidity and mortality among preterm neonates is recommended.
Human ; Male,Female ; Systematic review ; Meta-analysis ; Infant, Premature ; Intensive care units, Neonatal ; Intensive care, Neonatal ; Light ; Lighting ; Critical care

OBJECTIVE: To investigate the application value of pediatric sepsis-induced coagulation (pSIC) score and mean platelet volume/platelet count (MPV/PLT) ratio in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. METHODS: A retrospective cohort study was conducted, selecting 112 children with sepsis (sepsis group) admitted to pediatric intensive care unit (PICU) of Liaocheng Second People's Hospital from January 2020 to December 2023 as the study objects, and 50 children without sepsis admitted to the pediatric surgery department of our hospital during the same period for elective surgery due to inguinal hernia as the control (control group). The children with sepsis were divided into two groups according to the pediatric critical case score (PCIS). The children with PCIS score of ≤ 80 were classified as critically ill group, and those with PCIS score of > 80 was classified as non-critically ill group. pSIC score, coagulation indicators [prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), and fibrinogen (FIB)], and platelet related indicators (PLT, MPV, and MPV/PLT ratio) were collected. Pearson correlation method was used to analyze the correlation between pSIC score and MPV/PLT ratio as well as their correlation with coagulation indicators. Multivariate Logistic regression analysis was used to screen the independent risk factors for pediatric sepsis and critical pediatric sepsis. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the application value of the above independent risk factors on the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. RESULTS: 112 children with sepsis and 50 children without sepsis were enrolled in the final analysis. pSIC score, PT, INR, APTT, FIB, MPV, and MPV/PLT ratio in the sepsis group were significantly higher than those in the control group [pSIC score: 0.93±0.10 vs. 0.06±0.03, PT (s): 14.76±0.38 vs. 12.23±0.15, INR: 1.26±0.03 vs. 1.06±0.01, APTT (s): 40.08±0.94 vs. 32.47±0.54, FIB (g/L): 3.51±0.11 vs. 2.31±0.06, MPV (fL): 8.86±0.14 vs. 7.62±0.11, MPV/PLT ratio: 0.037±0.003 vs. 0.022±0.001, all P < 0.01], and PLT was slightly lower than that in the control group (×10⁹/L: 306.00±11.01 vs. 345.90±10.57, P > 0.05). Among 112 children with sepsis, 46 were critically ill and 66 were non-critically ill. pSIC score, PT, INR, APTT, MPV, and MPV/PLT ratio in the critically ill group were significantly higher than those in the non-critically ill group [pSIC score: 1.74±0.17 vs. 0.36±0.07, PT (s): 16.55±0.80 vs. 13.52±0.23, INR: 1.39±0.07 vs. 1.17±0.02, APTT (s): 43.83±1.72 vs. 37.77±0.95, MPV (fL): 9.31±0.23 vs. 8.55±0.16, MPV/PLT ratio: 0.051±0.006 vs. 0.027±0.001, all P < 0.05], PLT was significantly lower than that in the non-critically ill group (×10⁹/L: 260.50±18.89 vs. 337.70±11.90, P < 0.01), and FIB was slightly lower than that in the non-critically ill group (g/L: 3.28±0.19 vs. 3.67±0.14, P > 0.05). Correlation analysis showed that pSIC score was significantly positively correlated with MPV/PLT ratio and coagulation indicators including PT, APTT and INR in pediatric sepsis (r value was 0.583, 0.571, 0.296 and 0.518, respectively, all P < 0.01), and MPV/PLT ratio was also significantly positively correlated with PT, APTT and INR (r value was 0.300, 0.203 and 0.307, respectively, all P < 0.05). Multivariate Logistic regression analysis showed that pSIC score and MPV/PLT ratio were independent risk factors for pediatric sepsis and critical pediatric sepsis [pediatric sepsis: odds ratio (OR) and 95% confidence interval (95%CI) for pSIC score was 14.117 (4.190-47.555), and the OR value and 95%CI for MPV/PLT ratio was 1.128 (1.059-1.202), both P < 0.01; critical pediatric sepsis: the OR value and 95%CI for pSIC score was 8.142 (3.672-18.050), and the OR value and 95%CI for MPV/PLT ratio was 1.068 (1.028-1.109), all P < 0.01]. ROC curve analysis showed that pSIC score and MPV/PLT ratio had certain application value in the diagnosis of pediatric sepsis [area under the ROC curve (AUC) and 95%CI was 0.754 (0.700-0.808) and 0.720 (0.643-0.798), respectively] and the determination of critical pediatric sepsis [AUC and 95%CI was 0.849 (0.778-0.919) and 0.731 (0.632-0.830)], and the combined AUC of the two indictors was 0.815 (95%CI was 0.751-0.879) and 0.872 (95%CI was 0.806-0.938), respectively. CONCLUSIONS pSIC score and MPV/PLT ratio have potential application value in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis, and the combined application of both is more valuable.
Humans ; Sepsis/complications* ; Platelet Count ; Mean Platelet Volume ; Retrospective Studies ; Child ; Blood Coagulation Disorders/diagnosis* ; Intensive Care Units, Pediatric ; Male ; Female ; Partial Thromboplastin Time ; Child, Preschool ; Blood Coagulation ; International Normalized Ratio ; Infant

OBJECTIVE: To design a portable respiratory device for transporting premature infants and explore its application effect in the in-hospital transportation of extremely premature infants in primary hospitals. METHODS: A prospective randomized controlled trial was conducted. The extremely premature infants born and transferred to neonatal intensive care unit (NICU) with oxygen therapy support from May to October in 2023 were selected and randomly divided into control group and observation group. The infants in the control group received respiratory support and in-hospital transportation using a traditional T-combination resuscitator connected to pure oxygen, and those in the observation group used a portable premature infant transport respiratory device designed and manufactured by medical staff to provide respiratory support and implement in-hospital transportation. The respiratory device for transporting premature infants is made of 304 stainless steel material, mainly consisting of a T-combination resuscitator, an air oxygen mixer, an air tank, a pure oxygen cylinder, a pressure reducing valve, a telescopic rod, a tray, a hook, a bottom plate, and four moving wheels, which can achieve precise control of the fraction of inspired oxygen (FiO₂) during transportation. The achievement rate of first-time target pulse oxygen saturation (SpO₂, achieving a target SpO₂ of 0.90-0.95 was considered as meeting the standard) and arterial partial pressure of oxygen (PaO₂) after being transferred to the NICU, as well as the manpower expenditure and time required for transportation of pediatric patients between the two groups were observed. RESULTS: A total of 73 extremely premature infants were enrolled, including 38 in the control group and 35 in the observation group. There was no significant difference in the gender, gestational age at birth, birth weight, mode of delivery, Apgar score at 1 minute and 5 minutes after birth, and oxygen therapy during the transportation between the two groups. The achievement rate of first-time target SpO₂ after NICU in the observation group was significantly higher than that in the control group [94.29% (33/35) vs. 26.32% (10/38), P < 0.05], the PaO₂ control range was better [mmHg (1 mmHg = 0.133 kPa): 85.50±6.36 vs. 103.00±2.83, P < 0.05], manpower expenditure and time required for transportation were significantly reduced [manpower expenditure (number): 2.14±0.35 vs. 3.17±0.34, time required for transportation (minutes): 10.42±0.76 vs. 15.54±0.34, both P < 0.05]. CONCLUSIONS The portable respiratory device for transporting premature infants is used for respiratory support during the transportation of extremely premature infants in primary hospitals. It can improve the achievement rate of target SpO₂, control PaO₂ within the target range, and avoid hypoxia or hyperoxia during transportation. The breathing apparatus is compact, easy to carry, can save labor resources and time during transport, is cost-effective, and is suitable for widespread application in primary hospitals.
Humans ; Infant, Newborn ; Transportation of Patients ; Prospective Studies ; Equipment Design ; Infant, Extremely Premature ; Intensive Care Units, Neonatal ; Infant, Premature

OBJECTIVE: To construct and validate a prognostic prediction model for children with sepsis using the Phoenix sepsis score (PSS). METHODS: A retrospective case series study was conducted to collect clinical data of children with sepsis admitted to the pediatric intensive care unit (PICU) of the Affiliated Hospital of Guizhou Medical University from January 2022 to April 2024. The data included general information, the worst values of laboratory indicators within the first 24 hours of PICU admission, PSS score, pediatric critical illness score (PCIS), and the survival status of the children within 30 days of admission. The statistically significant indicators in univariate Logistic regression analysis were included in multivariate Logistic regression analysis to screen the risk factors affecting the prognosis of children with sepsis and construct a nomogram model. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive performance of the model. The Bootstrap method was used to perform 1 000 repeated sampling internal verification and draw the calibration curve of the model. RESULTS: A total of 199 children with sepsis were included, of which 32 died and 167 survived 30 days after admission. In the univariate Logistic regression analysis, shock, white blood cell count (WBC), international normalized ratio (INR), lactic acid (Lac), PSS score, and PCIS score were identified as statistically significant predictors. These variables were then included in the multivariate Logistic regression analysis, which demonstrated that shock [odds ratio (OR) = 4.258, 95% confidence interval (95%CI) was 1.049-17.288], WBC (OR = 1.124, 95%CI was 1.052-1.210), and PSS score (OR = 1.977, 95%CI was 1.298-3.012) were independent risk factors for mortality in pediatric patients with sepsis (all P < 0.05). A nomogram model was constructed based on these three risk factors, with the model equation as follows: -4.809+1.449×shock+0.682×PSS score+0.117×WBC. The calibration curve results showed that the model's predictions were highly consistent with the actual observations. The ROC curve showed that when the Youden index of the prediction model was 0.792, the sensitivity and specificity were 90.6% and 88.6%, respectively, and the area under the curve (AUC) was 0.957 (95%CI was 0.930-0.984), which was higher than the AUC of shock, WBC, and PSS score alone (0.808, 0.667, 0.908, respectively). CONCLUSIONS Shock, WBC, and PSS score have demonstrated certain predictive value for mortality in children with sepsis. The nomogram model based on the above indicators has important clinical significance for evaluating the prognosis and guiding treatment of children with sepsis.
Humans ; Sepsis/diagnosis* ; Prognosis ; Retrospective Studies ; Logistic Models ; Intensive Care Units, Pediatric ; Nomograms ; Child ; ROC Curve ; Risk Factors ; Male ; Female ; Child, Preschool ; Infant

OBJECTIVES: This study aimed to construct an evaluation index system for nursing quality management in outpatient dental clinics based on the structure-process-outcome model and provide an objective standard for the evaluation of nursing quality in outpatient dental clinics. METHODS: Through literature review, multi-subject interviews, and expert meetings, the first draft of the evaluation index for nursing quality management in outpatient dental clinics was formulated. The Delphi method was adopted to select and invite 15 experts in the fields of hospital infection management, nursing management, and specialized oral care from across the country to modify the first draft. RESULTS: The positive coefficients of the experts in the two rounds of consultation were 86.7% and 92.3%, respectively. The total authority coefficients of the experts were 0.791 and 0.717, respectively. The mean scores of the importance and feasibility of the third-level indices in the two rounds of consultation were all ≥4.333; the coefficients of variation were all ≤0.150; and the Kendall's coordination coefficients were 0.308 and 0.184 respectively, with P<0.05 for all. These results indicated that the experts were motivated to participate in this study. They recognized the importance and feasibility of the overall items in this index system, and their opinions were relatively consistent. Finally, an evaluation index system, which included 3 first-level indices, 7 second-level indices, 22 third-level indices, and 69 index connotations, for nursing quality management in outpatient dental clinics was determined. The weights of the three first-level indicators were all 0.333. Patient satisfaction (0.076, outcome dimension), hand hygiene (0.061, outcome dimension), chair care ratio (0.057, structural dimension), and turnover rate (0.057, structural dimension) were the top tertiary indicators in terms of portfolio weight. CONCLUSIONS The construction method of the evaluation index system for nursing quality management in outpatient dental clinics is scientific and reliable. It can provide a reference for the evaluation of the management level of nursing quality in outpatient dental clinics and promote the continuous improvement of nursing quality in outpatient dental clinics.
Humans ; Dental Clinics ; Delphi Technique

The establishment and development of neonatal intensive care unit(NICU)have significantly increased the survival rate of premature infants.However,the diagnosis,treatment,and surgeries performed in NICU may expose neonates to more noxious stimuli.As the neonatal period is crucial for brain development,these noxious stimuli may cause irreversible damage to the neonatal nervous system.Existing clinical studies have shown that repetitive noxious stimuli during the neonatal period can lead to poor brain development,persistent hyperalgesia,and various sequelae.However,the underlying mechanisms remain unclear,and effective treatment methods are lacking.This article summarizes the effects of repetitive noxious stimuli during the neonatal period on neural development and the complications,aiming to provide a basis for the neonatal analgesia management and the prevention and treatment of related sequelae.
Humans ; Infant, Newborn ; Brain/growth & development* ; Infant, Premature ; Intensive Care Units, Neonatal ; Hyperalgesia ; Pain

Objective To investigate the effect of health failure mode and effect analysis(HFMEA)in optimizing the management process of postoperative diabetes insipidus in children undergoing neurosurgery.Methods Based on HFMEA,a management flowchart for postoperative diabetes insipidus in children undergoing neurosurgery was created.Brainstorming was adopted to identify failure modes in the workflow,analyze risk factors,and develop improvement measures,thereby refining the management flowchart.The amelioration and prognosis of diabetes insipidus in these children before(October 2022 to November 2023)and after(January 2024 to February 2025)implementation of the management flowchart were compared.Results The HFMEA-based management process for postoperative diabetes insipidus in children undergoing neurosurgery alleviated the symptoms of diabetes insipidus regarding the number of diabetes insipidus in the pediatric intensive care unit(P=0.006),the average daily urine output in the pediatric intensive care unit(P=0.001),the proportion of electrolyte abnormalities at discharge/transfer(P=0.037),the duration of mechanical ventilation(P=0.007),and the length of stay in the intensive care unit(P=0.001).Conclusion The HFMEA-based management process for postoperative diabetes insipidus in children undergoing neurosurgery is beneficial to the optimization of the management process,the alleviation of postoperative diabetes insipidus,and the improvement of prognosis in these children.
Humans ; Diabetes Insipidus/etiology* ; Neurosurgical Procedures/adverse effects* ; Child ; Postoperative Complications/therapy* ; Healthcare Failure Mode and Effect Analysis ; Intensive Care Units, Pediatric ; Risk Factors

Humans ; Milk, Human ; Milk Banks/standards* ; Intensive Care Units, Neonatal ; Infant, Newborn ; China ; Consensus