OBJECTIVES

This cross-sectional study aimed to compare the levels of depression, anxiety, and stress, coping strategies, and willingness to go on duty in a COVID-referral hospital in Metro Manila among medical interns from March to April 2021.

The study comprised medical interns selected via stratified random sampling and was conducted to meet the research objectives. Data were obtained through the Willingness to Go on Duty questionnaire, the Depression, Anxiety, and Stress Scale-21 (DASS-21), and the Filipino Coping Strategies Scale. Descriptive and inferential analysis (chi-square test, Wilcoxon rank-sum test, Kruskal-Wallis test, and Spearman’s correlation) of data was used in this study.

26.62%, 23.02%, and 13.67% of the 139 participants reported having severe to extremely severe depression, anxiety, and stress, respectively. Sociodemographic variables such as age, sex, internship classification, training/track, presence of comorbidities, and living arrangement were not associated with psychological distress, while the use of some coping strategies was associated with some of these variables. 85.61% of the medical students who participated in the study expressed willingness to go on duty in non-COVID areas, while only 43.88% were willing to go on duty in COVID areas. Most of the participants who are unwilling to report in non-COVID areas reported having symptoms of moderate to extremely severe depression based on their DASS-21 scores.

Coping strategies used by medical students in this tertiary COVID-19 hospital during the pandemic differed across demographic variables and may be a function of societal and cultural norms. The top reason for the willingness to go on duty regardless of area of assignment (COVID or non-COVID) is the need for clinical learning experience and skills development, while the main reason for their refusal is the fear of being exposed to or contracting COVID-19.

INTRODUCTION

Administration of antenatal corticosteroids (ACS) between 24 and 36 weeks of gestation is recommended to pregnant women at risk of preterm delivery to decrease the risk of respiratory distress syndrome, intra-ventricular hemorrhage and neonatal death. However, it may worsen glycemic profile primarily in those with gestational diabetes mellitus (GDM).

To determine the effects of ACS on maternal glycemia in Filipino women with GDM and to analyze the factors associated with insulin use or increased insulin requirement.

A retrospective study of the medical records of Filipino women with GDM who were admitted and received ACS treatment (betamethasone) between 24- and 36-weeks age of gestation (AOG) for fetal lung maturity from 2017-2019. Clinical characteristics (age, parity, completed ACS dose, AOG at ACS administration and mode of delivery) and glycemic control were retrieved and compared before and after ACS treatment. Data collection began the day or on the day before steroids were given and continued until discharge or delivery.

Included were 42 pregnant women with GDM. Of these, 28 women with GDM were treated by diet alone (Group A) while 14 women with GDM were started on insulin in addition to diet (Group B). After betamethasone therapy was initiated, only three (Group A1; n=3/28) patients had good glycemic control with diet alone and the rest were given insulin treatment (Group A2; n=25/28). In this subpopulation of Group A2, insulin requirement within 24 hours after ACS was at 0.3 units per kg of body weight. There was a steady increase with maximum requirement observed on day 4 and decreased thereafter to 0.33 units per kg of body weight on day 5. For GDM women in Group B, only three maintained their insulin dose (Group B1; n=3/14) while 11 (Group B2; n=11/14) women with GDM previously on insulin, required further increase in insulin from day 1-2 reaching 140% increase in insulin dose on day 2. Thereafter, there was a gradual decrease of insulin dose almost returning to initial dose on day 5.

Insulin initiation was observed among GDM diet-controlled mothers (Group A) who were given ACS therapy at ≥31 weeks age of gestation. Age, parity, family history of diabetes and mode of delivery did not have significant effects on insulin use nor increased insulin requirement. Fasting capillary glucose (FCG) and one-hour post-prandial capillary glucose (PPCG) were elevated within 24 hours after administration of corticosteroid (betamethasone) in 60%-70% of our population. The FCG values remained elevated on day 2-3 in about 70% of patients. While the first hour PPCG was elevated in 85% of patients on day 2 and remained elevated in 70% of women on day 3-4, it reached 53% on day 5. Insulin requirement among Group B2 reached to 140% increase in insulin dose on day 2 followed by a gradual decrease of insulin dose almost returning to initial dose on day 5.

ACS administration caused maternal hyperglycemia in Filipino women with GDM during the first 24 hours and lasting up to five days. Both fasting glucose and post-prandial glucose were elevated, hence intensified monitoring of maternal glucose levels and temporary addition or increase of insulin doses may be necessary. The timing (≥31 weeks AOG) of administration of ACS on GDM women was associated with subsequent insulin initiation but only on patients initially controlled on diet alone.

INTRODUCTION

Caring for persons with diabetes involves a holistic approach. Addressing diabetes distress is crucial to achieve optimal health outcomes for persons with diabetes. This study aims to validate a Filipino version of the diabetes distress scale (DDS).

We conducted forward and backward translations to construct a Filipino version from the validated English questionnaire. We performed statistical analysis to check internal consistency and validation and to correlate diabetes distress with glycemic control based on the subjects’ HbA1c levels.

We included one hundred and seventy patients (170) seen at the Outpatient Diabetes Clinic in the analysis. Of the participants, 13 (7.6%) have Type 1 Diabetes Mellitus (T1DM), while the rest have Type 2 (T2DM). We found physician distress (PD) to be significantly associated with having T1DM. All domains in the Filipino DDS showed good internal consistency, ranging from 0.81 to 0.85. We used factor analysis to extract four factors similar to the original diabetes distress scale. We did not find any significant correlation between diabetes distress and HbA1c level.

The Filipino DDS showed good internal reliability and had consistent results similar to the original diabetes distress scale. However, we did not find a significant correlation between diabetes-related distress and the HbA1c level.

BACKGROUND: While emotional distress, encompassing anxiety and depression, has been associated with negative clinical outcomes, its impact across various clinical departments and general hospitals has been less explored. Previous studies with limited sample sizes have examined the effectiveness of specific treatments (e.g., antidepressants) rather than a systemic management strategy for outcome improvement in non-psychiatric inpatients. To enhance the understanding of the importance of addressing mental health care needs among non-psychiatric patients in general hospitals, this study retrospectively investigated the impacts of emotional distress and the effects of early detection and management of depression and anxiety on hospital length of stay (LOS) and rate of long LOS (LLOS, i.e., LOS >30 days) in a large sample of non-psychiatric inpatients. METHODS: This retrospective cohort study included 487,871 inpatients from 20 non-psychiatric departments of a general hospital. They were divided, according to whether they underwent a novel strategy to manage emotional distress which deployed the Huaxi Emotional Distress Index (HEI) for brief screening with grading psychological services (BS-GPS), into BS-GPS ( n = 178,883) and non-BS-GPS ( n = 308,988) cohorts. The LOS and rate of LLOS between the BS-GPS and non-BS-GPS cohorts and between subcohorts with and without clinically significant anxiety and/or depression (CSAD, i.e., HEI score ≥11 on admission to the hospital) in the BS-GPS cohort were compared using univariable analyses, multilevel analyses, and/or propensity score-matched analyses, respectively. RESULTS: The detection rate of CSAD in the BS-GPS cohort varied from 2.64% (95% confidence interval [CI]: 2.49%-2.81%) to 20.50% (95% CI: 19.43%-21.62%) across the 20 departments, with a average rate of 5.36%. Significant differences were observed in both the LOS and LLOS rates between the subcohorts with CSAD (12.7 days, 535/9590) and without CSAD (9.5 days, 3800/169,293) and between the BS-GPS (9.6 days, 4335/178,883) and non-BS-GPS (10.8 days, 11,483/308,988) cohorts. These differences remained significant after controlling for confounders using propensity score-matched comparisons. A multilevel analysis indicated that BS-GPS was negatively associated with both LOS and LLOS after controlling for sociodemographics and the departments of patient discharge and remained negatively associated with LLOS after controlling additionally for the year of patient discharge. CONCLUSION Emotional distress significantly prolonged the LOS and increased the LLOS of non-psychiatric inpatients across most departments and general hospitals. These impacts were moderated by the implementation of BS-GPS. Thus, BS-GPS has the potential as an effective, resource-saving strategy for enhancing mental health care and optimizing medical resources in general hospitals.
Humans ; Retrospective Studies ; Male ; Length of Stay/statistics & numerical data* ; Female ; Middle Aged ; Adult ; Psychological Distress ; Inpatients/psychology* ; Aged ; Anxiety/diagnosis* ; Depression/diagnosis*

Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning algorithm based on the three-way decision (TWD) theory and multi-objective optimization Active Learning (MOAL). During the training process of a convolutional neural network (CNN) classification model, the algorithm incorporates the TWD theory to select high-confidence samples as pseudo-labeled samples in a fine-grained batch processing mode, meanwhile low-confidence samples annotated by obstetrics experts were also considered. The TWD-MOAL algorithm proposed in this paper was validated on a dataset of 16 355 prenatal CTG records collected by our group. Experimental results showed that the algorithm proposed in this paper achieved an accuracy of 80.63% using only 40% of the labeled samples, and in terms of various indicators, it performed better than the existing active learning algorithms under other frameworks. The study has shown that the intelligent fetal heart monitoring model based on TWD-MOAL proposed in this paper is reasonable and feasible. The algorithm significantly reduces the time and cost of labeling by obstetric experts and effectively solves the problem of data imbalance in CTG signal data in clinic, which is of great significance for assisting obstetrician in interpretations CTG signals and realizing intelligence fetal monitoring.
Humans ; Pregnancy ; Female ; Cardiotocography/methods* ; Deep Learning ; Neural Networks, Computer ; Algorithms ; Fetal Monitoring/methods* ; Heart Rate, Fetal ; Fetal Distress/diagnosis* ; Fetal Heart/physiology*

Electrical impedance tomography (EIT) is a new non-invasive functional imaging technology, which has the advantages of non-invasion, non-radiation, low cost, fast response, portability and visualization. In recent years, more and more studies have shown that EIT has great potential in the detection of lung diseases and has been applied to early diagnosis and treatment of some diseases. This paper introduced the basic principle of EIT, discussed the research and clinical application of EIT in the detection of acute respiratory distress syndrome, chronic obstructive pulmonary disease, pneumothorax and pulmonary embolism, and focused on the summary and introduction of indicators and functional images of EIT related to the detection of lung diseases. This review will help medical workers understand and use EIT, and promote the further development of EIT in lung diseases as well as other fields.
Humans ; Electric Impedance ; Tomography/methods* ; Lung Diseases/diagnosis* ; Pulmonary Disease, Chronic Obstructive/diagnosis* ; Pulmonary Embolism/diagnosis* ; Respiratory Distress Syndrome/diagnosis*

OBJECTIVES: To investigate the efficacy of volume-guaranteed high-frequency oscillatory ventilation (HFOV-VG) in preterm infants with respiratory distress syndrome (RDS) and its impact on blood flow in the middle cerebral artery (MCA). METHODS: A prospective study was conducted on 120 preterm infants with RDS who were admitted to the Department of Neonatology at Qinhuangdao Maternal and Child Health Hospital from March 2020 to December 2023. According to the mode of ventilation, the infants were divided into two groups: a conventional mechanical ventilation (CMV) group (60 infants) and an HFOV-VG group (60 infants). The two groups were compared in terms of baseline data, MCA hemodynamic parameters, complications, and outcomes. RESULTS: Compared with the CMV group, the HFOV-VG group had significantly shorter durations of mechanical ventilation and hospital stay and a significantly higher overall response rate (P<0.05). The HFOV-VG group demonstrated significantly better peak systolic velocity, end-diastolic velocity, and mean flow velocity (P<0.05). The HFOV-VG group also exhibited significantly lower 28-day mortality rates and lower incidence rates of bronchopulmonary dysplasia and intraventricular hemorrhage than the CMV group (P<0.05). CONCLUSIONS HFOV-VG can effectively improve cerebral blood perfusion, reduce cerebrovascular resistance, shorten the durations of mechanical ventilation and hospital stay, and enhance overall treatment efficacy. It has significant advantages in reducing the risk of 28-day mortality, bronchopulmonary dysplasia, and intraventricular hemorrhage in preterm infants with RDS.
Humans ; High-Frequency Ventilation/adverse effects* ; Infant, Newborn ; Respiratory Distress Syndrome, Newborn/physiopathology* ; Female ; Middle Cerebral Artery/physiology* ; Male ; Prospective Studies ; Cerebrovascular Circulation ; Infant, Premature

The patient, a 20-day-old male, was admitted due to respiratory distress that had persisted for 20 days after birth. The main clinical manifestations included gradually worsening respiratory distress and edema. The patient received treatment including mechanical ventilation and diuretics. Echocardiography indicated cardiomegaly, pulmonary hypertension, and heart failure. A comprehensive systemic examination revealed a significant blowing vascular murmur upon auscultation over the anterior fontanelle and bilateral temporal regions. Further imaging studies including cranial magnetic resonance imaging, magnetic resonance angiography, and magnetic resonance venography showed marked dilation of the superior sagittal sinus, transverse sinus, and sigmoid sinus, leading to a definitive diagnosis of dural arteriovenous fistula. After a multidisciplinary consultation, the patient underwent cerebral angiography and partial embolization of the left parietal arteriovenous fistula. Postoperatively, the patient was treated with positive inotropes, diuretics, and fluid restriction. Ultimately, the patient was weaned off the ventilator and discharged in improved condition. This article reports a case of neonatal dural arteriovenous fistula presenting with respiratory distress and discusses the multidisciplinary approach to managing this condition, which aids in early disease recognition and guides clinical decision-making.
Humans ; Male ; Infant, Newborn ; Central Nervous System Vascular Malformations/diagnosis* ; Respiratory Distress Syndrome, Newborn/etiology* ; Embolization, Therapeutic

OBJECTIVES: To investigate the application value of targeted next-generation sequencing (tNGS) in the etiological diagnosis of moderate to severe respiratory distress syndrome (RDS) in neonates. METHODS: A prospective randomized controlled trial was conducted, enrolling 81 term and late-preterm neonates with moderate to severe RDS admitted to Fujian Children's Hospital between December 2023 and December 2024. Patients were randomly assigned to the conventional microbiological test (CMT) group (n=42) or the tNGS group (n=39). For routine pathogen detection, bronchoalveolar lavage fluid was obtained via bronchoscopy, and lower respiratory tract specimens were collected via the endotracheal tube; all specimens underwent culture, and some specimens additionally underwent polymerase chain reaction or antigen testing. In the tNGS group, tNGS was performed in addition to routine pathogen detection on the same specimen types. The detection rate of pathogens, the detection rate of co-infections, and the duration of antibiotic use were compared between the two groups. RESULTS: The pathogen detection rate in the tNGS group (18/39, 46%) was significantly higher than that in the CMT group (8/42, 19%) (P=0.009). The co-infection detection rate was 13% (5/39) in the tNGS group, while no co-infections were identified in the CMT group (P=0.024). Regarding treatment, the duration of antibiotic use in the tNGS group was shorter than that in the CMT group [(12±4) days vs (15±5) days, P=0.003]. CONCLUSIONS tNGS significantly improves the pathogen detection rate in neonates with moderate to severe RDS and offers advantages in the rapid identification of co-infections and reduction of antibiotic treatment duration, suggesting it has clinical utility and potential for wider adoption.
Humans ; Prospective Studies ; Infant, Newborn ; Female ; Respiratory Distress Syndrome, Newborn/etiology* ; Male ; High-Throughput Nucleotide Sequencing/methods*

BACKGROUND: Growing up with a sibling with a chronic health problem or a disability requiring assistance can affect the lives of the family members in various ways. Previous studies documented health problems among siblings of children with a chronic health problem or a disability. However, these studies are limited in that they tend to rely on small convenience samples of children with specific illnesses/disabilities. This study aims to investigate mental health and self-rated health status of siblings of such children using data from a population study in Japan. METHODS: We used data from the 2016 wave of Japan's Comprehensive Survey of Living Conditions. The analytic sample included 16,510 adolescents aged 15-19 years who were living with a sibling with or without care needs. The outcomes were psychological distress as defined by K6 score of 13 or higher and poor self-rated health. We examined these health outcomes of adolescents who have a sibling with care needs to relative to adolescents with a sibling without such needs via logistic regression. RESULTS: Adolescents who live with a sibling with care needs were more likely to have psychological distress (Odds Ratio (OR) 2.47; 95% Confidence Interval (CI), 1.46-4.17) and poor self-rated health (OR 2.21; 95% CI, 1.30-3.75). These associations were more pronounced in post-high school age (18-19 years old) group than in high school age (15-18 years old) group. CONCLUSION The presence of a child with care needs in the household was associated with spillover psychological distress and poorer subjective health among siblings. Providing support for children/adolescents with care needs may have additional benefits in terms of well-being of their siblings.
Humans ; Adolescent ; Male ; Female ; Siblings/psychology* ; Young Adult ; Psychological Distress ; Japan/epidemiology* ; Health Status