OBJECTIVE: To explore the prenatal and postnatal phenotypes of 22q11.2 microdeletion syndrome (22q11.2DS) and enhance clinical understanding of this condition. METHODS: Data were collected from 86 fetuses diagnosed with 22q11.2DS at four prenatal diagnostic centers across China between January 2014 and August 2025. Prenatal imaging findings, pregnancy outcomes, and postnatal conditions were analyzed. RESULTS: Among the 86 fetuses, complete ultrasound data were available for 65 cases. Cardiovascular abnormalities were observed in 42 cases, thymic hypoplasia or aplasia in 7 cases, urinary system anomalies in 6 cases, nuchal translucency (NT) thickening in 7 cases, butterfly vertebrae, clubfoot, omphalocele and diaphragmatic hernia in 1 case each, cleft lip and palate in 2 cases, and ultrasound soft markers in 13 cases. The parents of 9 fetuses opted to continue with the pregnancy. Among these, 6 showed no significant ultrasound abnormalities and no related phenotypes postnatally, while the remaining 3 exhibited ultrasound anomalies with postnatal manifestations including developmental delay, immunodeficiency, and cardiac defects. CONCLUSION Fetuses with 22q11.2DS may exhibit various ultrasound abnormalities in multiple systems before and after birth. In addition to cardiovascular anomalies, they may also present with thymic hypoplasia or aplasia, thickened NT, and urinary abnormalities. Fetuses with thickened NT or thymic anomalies should be closely monitored, and thymic assessment should be included in routine prenatal imaging evaluations. For fetuses with 22q11.2DS who show no ultrasound abnormalities, the risk of developing severe phenotypes after birth is relatively low, but occult palate clefts and psychiatric disorders cannot be ruled out. Due to limitations in sample size and follow-up duration, above conclusions require further validation through large-scale prospective studies.
Humans ; Female ; Pregnancy ; Ultrasonography, Prenatal ; DiGeorge Syndrome/genetics* ; Adult ; Male ; Follow-Up Studies ; Fetus/diagnostic imaging* ; Phenotype ; Infant, Newborn

OBJECTIVE: To explore the genotype-phenotype correlation in a Chinese family with structural brain abnormalities due to variant of the TUBB gene. METHODS: A family undergoing prenatal diagnosis at Beijing Obstetrics and Gynecology Hospital in October 2024 was selected as the study subject. Clinical data were collected. Amniotic fluid sample was subjected to chromosomal copy number variation sequencing (CNV-seq). Trio whole-exome sequencing (Trio-WES) was carried out on the amniotic fluid and parental blood samples, and candidate variant was verified by Sanger sequencing. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: 2023-KY-076-01). RESULTS: Both prenatal ultrasound and fetal MRI showed deviation of brain midline, unilateral lateral ventriculomegaly, and bilateral gyral asymmetry. Trio-WES revealed that the fetus has harbored a maternally derived heterozygous missense variant of the TUBB gene [NM_178014.4: c.155A>G (p.N52S)]. Sanger sequencing confirmed that the woman and a previously terminated fetus both harbored the same variant. Both the proband and two fetuses exhibited similar neuroimaging abnormalities including midline deviation and asymmetrical gyri. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was classified as likely pathogenic (PM2_Supporting+PS2_Moderate+PS3). CONCLUSION The heterozygous c.155A>G (p.N52S) variant was the TUBB gene probably underlay the pathogenesis of the structural brain abnormalities in this family. Above findings have expanded the phenotypic spectrum associated with the variant and facilitated the prenatal diagnosis for this family.
Humans ; Female ; Pregnancy ; Prenatal Diagnosis ; Tubulin/genetics* ; Adult ; Brain/diagnostic imaging* ; Male ; Pedigree ; DNA Copy Number Variations/genetics* ; Exome Sequencing ; Genetic Association Studies ; Magnetic Resonance Imaging

OBJECTIVE: To investigate the genetic etiology of a fetus diagnosed with Mandibulofacial dysostosis with microcephaly (MFDM). METHODS: A fetus that underwent prenatal diagnosis at Beijing Obstetrics and Gynecology Hospital, Capital Medical University, on May 19, 2025 was selected for analysis. Results of fetal ultrasound findings, chromosomal karyotyping, copy number variation sequencing (CNV-seq), and whole-exome sequencing (WES) were collected. Sanger sequencing was performed for familial validation of the pathogenic variant. The Human Protein Atlas (HPA), STRING, and Simple ClinVar databases were queried to characterize the biological features of the candidate gene. Three-dimensional structures of the wild-type and variant proteins were modeled and analyzed, and the evolutionary conservation of the affected amino acid was assessed using UGENE. Prenatal phenotypes associated with EFTUD2 variants were summarized through a review of the literature. This study was approved by the Ethics Committee of Beijing Obstetrics and Gynecology Hospital, Capital Medical University (Ethics No.: 2025-KY-029-01). RESULTS: At 23⁺² weeks of gestation, ultrasound examination revealed bilateral microtia with low-set ears, mild micrognathia with a reduced mandibular-facial angle, a single umbilical artery, a slightly narrow aortic diameter, and trivial mitral regurgitation. Amniotic fluid karyotyping and CNV-seq showed no abnormalities. WES identified a de novo, previously unreported EFTUD2 variant, c.698dupA (p.V235Gfs*27), in the fetus. This frameshift variant is predicted to alter the structural integrity of the EFTUD2 protein. Literature review indicated that micrognathia and microtia or low-set ears are the most common sonographic features in fetuses with EFTUD2 variants, while secondary findings may include abnormal stomach bubble, cleft palate, single umbilical artery, gastrointestinal atresia, polyhydramnios, and reduced aortic diameter. CONCLUSION The EFTUD2: c.698dupA (p.V235Gfs*27) variant is likely the genetic cause underlying MFDM in this fetus.
Humans ; Mandibulofacial Dysostosis/diagnostic imaging* ; Microcephaly/diagnostic imaging* ; Female ; Pregnancy ; Ribonucleoprotein, U5 Small Nuclear/chemistry* ; Peptide Elongation Factors/chemistry* ; Fetus ; DNA Copy Number Variations/genetics* ; Adult ; Ultrasonography, Prenatal

Bullous hemorrhagic dermatosis (BHD) is a rare cutaneous manifestation characterized by tense hemorrhagic bullae that appear at sites distant from low molecular weight heparin (LMWH) injections, typically within seven days of exposure. As of March 2022, only 94 cases have been reported. It most commonly affects elderly males with predisposing factors for thromboembolism, such as carcinoma, and usually involves the extremities.

This case highlights the importance of maintaining a high index of suspicion for bullous hemorrhagic dermatosis (BHD) in patients receiving low molecular weight heparin, even beyond the typical 7-day window and in demographics not commonly affected. Early recognition and prompt discontinuation of the offending agent, as demonstrated in this atypical presentation involving a Filipino elderly woman with multiple comorbidities and no malignancy, can lead to favorable outcomes. Clinicians should be aware of this rare but reversible complication to avoid misdiagnosis and ensure appropriate management.

Human ; Female ; Aged: 65-79 Yrs Old ; Affect ; Aged ; Blister ; Carcinoma ; Causality ; Demography ; Diagnostic Errors ; Enoxaparin ; Extremities ; Heparin ; Heparin, Low-molecular-weight ; Index ; Injections ; Lead ; Male ; Molecular Weight ; Neoplasms ; Patients ; Research Report ; Skin Diseases ; Thromboembolism ; Women

OBJECTIVES

Clinical pathways (CPs) ensure adherence to heart failure (HF) management guidelines. To optimize quality care in a low resource setting, an evidence-based care pathway for the management of acute HF was implemented at the emergency department (ED) of the Philippine General Hospital (PGH), the designated national tertiary hospital and referral center. This study aimed to describe the characteristics of adults with acute HF admitted at the ED and evaluate the quality of care they received, measured using physician adherence to the hospital’s acute heart failure CP.

METHODS

This was a retrospective, descriptive cohort study. We reviewed the inpatient charts of all adult patients with acute HF admitted to the ED of the PGH and referred to the Division of Cardiovascular Medicine between December 1, 2022 and May 31, 2023. Quality of care was assessed based on adherence to quality indicators adapted from routine and conditional order sets detailed in the pathway. Descriptive statistics was utilized to describe patient characteristics, quality of care, and outcomes.

RESULTS

Two hundred thirty-six (236) patients were included, with a mean age of 51.8 years. Majority were male (53.4%); hypertension (61.4%) and ischemic heart disease (53.8%) were the most common comorbidities, and infection the most common precipitant of decompensation (60.6%). There were optimal adherence rates to routine orders, which included referrals to Internal Medicine and Cardiology, baseline vital signs monitoring, fluid intake and output monitoring, chest radiograph, complete blood count, blood urea nitrogen, sodium, potassium, prothrombin time, partial thromboplastin time, arterial blood gas, urinalysis, and N-terminal pro b-type natriuretic peptide. Conditional orders, such as oxygen support, focused echocardiography, thyroid - stimulating hormone, and the use of vasopressors, diuretics, and venous thromboembolism prophylactic agents, were optimally performed when warranted. However, we noted suboptimal adherence to certain resource-intensive conditional orders, such as hourly monitoring of urine output (61.4%), hooking to cardiac monitor (53.8%), and performance of 12-lead ECG within 10 minutes (56.8%). Further, only 43.9% of patients were referred to the intensive care unit. Troponin I, calcium, magnesium, and albumin were ordered in excess.

CONCLUSION

Overall adherence rate of physicians to the hospital’s Acute Heart Failure Pathway was satisfactory. Work is needed to improve adherence to hourly urine output monitoring, consistent hooking to cardiac monitor, and timely performance of 12-lead ECG – an effort that begins with expanding in-hospital diagnostic equipment and human resource supply. We recommend continuous pathway implementation with periodic evaluation and stakeholder feedback to further improve quality of care.

Human ; Male ; Female ; Middle Aged: 45-64 Yrs Old ; Adult ; Albumins ; Blood ; Blood Urea Nitrogen ; Calcium ; Cardiology ; Chart ; Charts ; Cohort Studies ; Critical Care ; Critical Pathways ; Diagnostic Equipment ; Disease ; Diuretics ; Echocardiography ; Electrocardiography ; Emergencies ; Emergency Service, Hospital ; Equipment And Supplies ; Evaluation Studies As Topic ; Feedback ; Heart ; Heart Diseases ; Heart Failure ; Hormones ; Hospitals ; Hospitals, General ; Humans ; Hypertension ; Indicators And Reagents ; Infection ; Infections ; Inpatients ; Intensive Care Units ; Internal Medicine ; Lead ; Magnesium ; Male ; Medicine ; Myocardial Ischemia ; Natriuretic Peptide, Brain ; Natriuretic Peptides ; Nitrogen ; Overall ; Oxygen ; Partial Thromboplastin Time ; Patients ; Peptides ; Philippines ; Physicians ; Potassium ; Prothrombin ; Prothrombin Time ; Quality Of Health Care ; Referral And Consultation ; Sodium ; Statistics ; Tertiary Care Centers ; Thorax ; Thromboembolism ; Thromboplastin ; Thyroid Gland ; Time ; Troponin ; Troponin I ; Universities ; Urea ; Urinalysis ; Urine ; Venous Thromboembolism ; Vital Signs ; Work ; Workforce

BACKGROUND

The COVID-19 pandemic caused by SARS-CoV-2 significantly strained healthcare systems in the Philippines, highlighting the critical importance of reliable molecular diagnostics and genomic surveillance. Although vaccination efforts and public health measures mitigated disease impact, the continued emergence of viral variants underscores the need for sustainable local surveillance strategies. Strengthening in-country capacity through the development of in silico–designed primers and cost-effective sequencing approaches can enhance rapid variant detection and improve preparedness for future emerging infectious diseases.

OBJECTIVE

This paper offers a method in detecting the SARS-CoV-2 virus and its variants. A direct PCR product sequencing surveillance or DPPSS offers a new possibility of detecting emerging disease by using PCR products and using it as templates in determining the base sequence.

METHODOLOGY

A total of 20 random positive samples for SARS-COV-2 from March 2022 sample pool in Metro Manila, Philippines was used in this study. The RNA was extracted using Purelink™ RNA Mini Kit, quantified with NanoDrop, and subjected to one-step RT-PCR. An in-house designed in silico primers were used in this study by using thermodynamic parameters to optimize specificity and amplification efficiency, considering GC contents, balanced Tm, minimal secondary structures and cross-dimers and in silico validation via Basic Local Alignment Search Tool (BLAST) against reference databases.

Amplicons were analyzed through gel electrophoresis, sequenced, and analyzed using BioEdit software. A nucleotide BLAST search identified COVID-19 variants, confirmed using Cov-Lineages website.

RESULTS

In silico designed primers (S1, S2, E/M, Orf1ab) collectively exhibited 100% sensitivity in detecting SARS-CoV2 in nasopharyngeal swab samples. Individual primer sensitivities varied, with Orf1ab at 58.82% and E/M at 90.91%. Our analysis revealed the prevalence of Omicron sublineage BA.2 in the Philippines, aligning with local data showing more BA.2 cases than the global predominance of BA.1.

CONCLUSION

Combined in silico primers (S1, S2, E/M, ORF1ab) accurately detect SARS-COV-2 and its variants. This method provides a valuable diagnostic and surveillance tool for public health management.

Covid-19 ; Polymerase Chain Reaction ; Molecular Diagnostic Techniques

BACKGROUND AND OBJECTIVES

The Philippines faces challenges in the screening of tuberculosis (TB), one of them being the shortage in the health workforce who are skilled and allowed to screen TB. Deep learning neural networks (DLNNs) have shown potential in the TB screening process utilizing chest radiographs (CXRs). However, local studies on AIbased TB screening are limited. This study evaluated qXR3.0 technology's diagnostic performance for TB screening in Filipino adults aged 15 and older. Specifically, we evaluated the specificity and sensitivity of qXR3.0 compared to radiologists' impressions and determined whether it meets the World Health Organization (WHO) standards.

METHODS

A prospective cohort design was used to perform a study on comparing screening and diagnostic accuracies of qXR3.0 and two radiologist gradings in accordance with the Standards for Reporting Diagnostic Accuracy (STARD). Subjects from two clinics in Metro Manila which had qXR 3.0 seeking consultation at the time of study were invited to participate to have CXRs and sputum collected. Radiologists' and qXR3.0 readings and impressions were compared with respect to the reference standard Xpert MTB/RiF assay. Diagnostic accuracy measures were calculated.

RESULTS

With 82 participants, qXR3.0 demonstrated 100% sensitivity and 72.7% specificity with respect to the reference standard. There was a strong agreement between qXR3.0 and radiologists' readings as exhibited by the 0.7895 (between qXR 3.0 and CXRs read by at least one radiologist), 0.9362 (qXR 3.0 and CXRs read by both radiologists), and 0.9403 (qXR 3.0 and CXRs read as not suggestive of TB by at least one radiologist) concordance indices.

CONCLUSIONS

qXR3.0 demonstrated high sensitivity to identify presence of TB among patients, and meets the WHO standard of at least 70% specificity for detecting true TB infection. This shows an immense potential for the tool to supplement the shortage of radiologists for TB screening in the country. Future research directions may consider larger sample sizes to confirm these findings and explore the economic value of mainstream adoption of qXR 3.0 for TB screening.

Human ; Tuberculosis ; Diagnostic Imaging ; Deep Learning

Premenstrual dysphoric disorder (PMDD) is considered a severe form of premenstrual syndrome (PMS). As a key brain region involved in emotional regulation and stress responses, the amygdala has been implicated in the pathogenesis of PMS/PMDD. The amygdala is composed of multiple subregions, each playing distinct roles in emotion, memory, and stress responses, and forms complex brain areas. Summarizing the interconnections among amygdala, subregions and their connectivity with external areas, and exploringt the neuroimaging characteristics of the amygdala, as well as changes in its neural circuits and brain networks in these patients, will help provide a theoretical foundation for targeted modulation of amygdala function in the treatment of PMS/PMDD.
Humans ; Amygdala/diagnostic imaging* ; Female ; Premenstrual Dysphoric Disorder/pathology* ; Premenstrual Syndrome/pathology* ; Emotions/physiology* ; Magnetic Resonance Imaging

OBJECTIVES: Renal cell carcinoma (RCC) is a malignant renal tumor that poses a significant threat to patient health. Accurate preoperative pathological grading plays a crucial role in determining the appropriate treatment for this disease. Currently, deep learning technology has become an important method for pathological grading of RCC. However, existing methods primarily rely on single-phase computed tomography (CT) imaging for analysis and prediction, which has limitations such as missing small lesions, one-sided evaluation, and local focusing issues. Therefore, this study proposes a multi-modal deep learning algorithm that integrates multi-phase enhanced CT images with clinical variable data, aiming to provide a basis for predicting the pathological grading of RCC. METHODS: First, the algorithm took four-phase enhanced CT images from the plain scan, arterial phase, venous phase, and delayed phase, along with clinical variables, as inputs. Then, an embedding encoding module was used to extract heterogeneous information from the clinical variables, and a 3-dimensional (3D) ResNet50 model was employed to capture spatial information from the multi-phase enhanced CT image data. Finally, a Fusion module deeply integrated the feature information from clinical variables and each phase's CT image features, further utilizing a cross-self-attention mechanism to achieve multi-phase feature fusion. This approach comprehensively captures the deep semantic information from the patient data, fully leveraging the complementary advantages of multi-modal and multi-phase data. To validate the effectiveness of the proposed method, a total of 1 229 RCC patients were approved by ethics review were included to train the model. RESULTS: Experimental results demonstrated superior performance compared to traditional radiomics and state-of-the-art deep learning methods, achieving an accuracy of 83.87%, a recall rate of 95.04%, and an F1-score of 82.23%. CONCLUSIONS The proposed algorithm exhibits strong stability and sensitivity, significantly enhancing the predictive performance of RCC pathological grading. It offers a novel approach for accurate RCC diagnosis and personalized treatment planning.
Humans ; Carcinoma, Renal Cell/pathology* ; Deep Learning ; Kidney Neoplasms/diagnostic imaging* ; Tomography, X-Ray Computed/methods* ; Algorithms ; Neoplasm Grading ; Male ; Female ; Middle Aged

OBJECTIVES: In recent years, the role of remnant cholesterol (RC) in the development and progression of cardiovascular diseases has gained increasing attention. However, evidence on the association between RC and subclinical atherosclerosis is limited. This study aims to examine the relationship between RC and atherosclerotic plaques in single and multiple vascular territories. METHODS: This retrospective cross-sectional study used baseline data from participants enrolled between October 2022 and May 2024 in the National Key Research Program "Study on the Prevention and Control System of Risk Factors for Panvascular Diseases". Color Doppler ultrasonography was performed to detect plaques in 4 vascular territories: Bilateral carotid arteries, bilateral subclavian arteries, abdominal aorta, and iliac-femoral arteries. RC was calculated as total cholesterol minus the sum of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Participants were categorized into quartiles (Q1-Q4) according to RC levels. The proportions of participants with ≥2 plaques in a single vascular territory and with plaques in ≥2 vascular territories were compared across RC quartiles. Multivariate ordinal Logistic regression was used to assess the association between RC and the number of plaques in a single vascular territory, as well as the risk of multiple vascular territory involvement. Additionally, the effects of LDL-C/RC concordance on plaque distribution were analyzed. RESULTS: A total of 3 539 participants were included, of whom 2 169 (61.29%) were male, with a age of (51.94±9.22) years. From Q1 to Q4, the proportion of participants with ≥2 plaques in a single vascular territory (bilateral carotid, subclavian, abdominal aorta, and iliac-femoral arteries), as well as those with plaques in ≥2 vascular territories, increased progressively. Compared with Q1, both Q3 and Q4 were significantly associated with higher plaque numbers in a single vascular territory (both P<0.05). When treated as a continuous variable, higher RC levels were associated with an increased risk of greater plaque numbers within a single vascular territory (all P<0.05). RC levels were also significantly associated with multiple vascular territory involvement: Compared with Q1, Q4 had a 1.015-fold higher risk [odds ratio (OR)=2.015, 95% confidence interval (CI) 1.669 to 2.433], and each 1 mmol/L increase in RC corresponded to a 0.160-fold increased risk (OR=1.160, 95% CI 1.073 to 1.271). In LDL-C/RC coordination analysis, compared with the low LDL-C/low RC group, the low LDL-C/high RC group was significantly associated with multiple vascular territory involvement (OR=1.576, 95% CI 1.220 to 2.036). CONCLUSIONS Elevated RC levels are closely associated with atherosclerotic plaques in both single and multiple vascular territories, even among individuals with normal LDL-C, suggesting that RC should be considered in clinical risk assessment and management of atherosclerosis.
Humans ; Plaque, Atherosclerotic/diagnostic imaging* ; Male ; Female ; Cross-Sectional Studies ; Middle Aged ; Retrospective Studies ; Cholesterol/blood* ; Cholesterol, LDL/blood* ; Aged ; Cholesterol, HDL/blood* ; Risk Factors ; Atherosclerosis ; Ultrasonography, Doppler, Color ; Femoral Artery/diagnostic imaging*