ABSTRACT
Introduction: This study aimed to explore the relationship between the trajectories of body weight (BW) z-scores at birth, discharge, and 6 months corrected age (CA) and neurodevelopmental outcomes at 24 months CA. Methods: Conducted as a population-based retrospective cohort study across 21 hospitals in Taiwan, we recruited 3,334 very-low-birth-weight (VLBW) infants born between 2012 and 2017 at 23-32 weeks of gestation. Neurodevelopmental outcomes were assessed at 24 months CA. Instances of neurodevelopmental impairment (NDI) were defined by the presence of at least one of the following criteria: cerebral palsy, severe hearing loss, profound vision impairment, or cognitive impairment. Group-based trajectory modeling was employed to identify distinct BW z-score trajectory groups. Multivariable logistic regression was used to assess the associations between these trajectories, postnatal comorbidity, and neurodevelopmental impairments. Results: The analysis identified three distinct trajectory groups: high-climbing, mid-declining, and low-declining. Significant associations were found between neurodevelopmental impairments and both cystic periventricular leukomalacia (cPVL) [with an adjusted odds ratio (aOR) of 3.59; p < 0.001] and belonging to the low-declining group (aOR: 2.59; p < 0.001). Discussion: The study demonstrated that a low-declining pattern in body weight trajectory from birth to 6 months CA, along with cPVL, was associated with neurodevelopmental impairments at 24 months CA. These findings highlight the importance of early weight trajectory and specific health conditions in predicting later neurodevelopmental outcomes in VLBW infants.
ABSTRACT
Our aim was to develop a machine learning-based predictor for early mortality and severe intraventricular hemorrhage (IVH) in very-low birth weight (VLBW) preterm infants in Taiwan. We collected retrospective data from VLBW infants, dividing them into two cohorts: one for model development and internal validation (Cohort 1, 2016-2021), and another for external validation (Cohort 2, 2022). Primary outcomes included early mortality, severe IVH, and early poor outcomes (a combination of both). Data preprocessing involved 23 variables, with the top four predictors identified as gestational age, birth body weight, 5-min Apgar score, and endotracheal tube ventilation. Six machine learning algorithms were employed. Among 7471 infants analyzed, the selected predictors consistently performed well across all outcomes. Logistic regression and neural network models showed the highest predictive performance (AUC 0.81-0.90 in both internal and external validation) and were well-calibrated, confirmed by calibration plots and the lowest two mean Brier scores (0.0685 and 0.0691). We developed a robust machine learning-based outcome predictor using only four accessible variables, offering valuable prognostic information for parents and aiding healthcare providers in decision-making.
Subject(s)
Infant, Premature , Infant, Very Low Birth Weight , Machine Learning , Humans , Infant, Newborn , Female , Male , Retrospective Studies , Taiwan/epidemiology , Infant , Prognosis , Cerebral Hemorrhage/mortality , Gestational Age , Cerebral Intraventricular Hemorrhage/mortality , Cerebral Intraventricular Hemorrhage/epidemiology , Infant Mortality , Birth Weight , Infant, Premature, Diseases/mortalityABSTRACT
Atopic dermatitis (AD) is a persistent skin disease typified by symptoms of dry skin and recurrent eczema. Patients with AD are at heightened risk for Staphylococcus aureus infection. Group 2 innate lymphoid cells (ILC2s) are mainly activated by epithelial cell-derived cytokines IL-33 and involved in the pathogenesis of AD. However, little is known about the effect of skin delipidization on the epithelial cell-derived cytokines and dermal ILC2s in AD. In our study, we investigated the mechanism by which S. aureus infection modulates and exacerbates the pathogenesis of dry skin, leading to type 2 inflammation in the context of innate immunity. In vivo, we found that S. aureus infection aggravated delipidization-induced dermal IL-33 release and dermal ILC2 accumulation, which exacerbated skin inflammation. We also noticed that Il33fl/fl K14cre mice and Tlr2-/- mice exhibited attenuated skin inflammation. In vitro, treatment with necroptosis inhibitors reduced IL-33 release from S. aureus-infected keratinocytes. Mechanistically, we observed an increase in the necroptosis-associated kinases, MLKL and RIPK3, in S. aureus-infected mice, indicating that IL-33 release was associated with necroptotic cell death responses. Our results reveal that S. aureus infection-elicited keratinocyte necroptosis contributes to IL-33-mediated type 2 inflammation, which exacerbates the pathogenesis of dry skin.
Subject(s)
Dermatitis, Atopic , Ichthyosis , Staphylococcal Infections , Humans , Mice , Animals , Immunity, Innate , Staphylococcus aureus , Interleukin-33/metabolism , Necroptosis , Lymphocytes , Inflammation/pathology , Cytokines/metabolism , Receptor-Interacting Protein Serine-Threonine Kinases/metabolism , Protein Kinases/metabolismABSTRACT
This study offered a possible systematic culinary approach to spent-laying ducks. Breast meat is suitable for processing due to its amount and completeness. Sous-vide cooking resulted in lower cooking loss than poaching, pan-frying (P < 0.05), and roasting. The sous-vide duck breast had higher gumminess, chewiness, and resilience than other culinary techniques (P < 0.05). Sous-vide cooking at 65°C had a lower cooking loss than 70°C (P < 0.05), and less than 1.5-h sous-vide could keep a lower cooking loss and WB shear value (P < 0.05) as the cooking period extended, the smaller (P < 0.05) quantity of myosin heavy chain and the destroyed sarcomere arrangement were observed. A condition at 65°C for 1.5 h could be the optimal sous-vide cuisine for spent-laying duck breast. These sous-vide products stored at 4°C were still safe for consumption due to no detectible microorganisms and unchangeable physicochemical properties within 7 d.
Subject(s)
Chickens , Ducks , Animals , Cooking/methods , Meat/analysisABSTRACT
From 2011, 37 children were referred to a hospital due to low levels of T cell receptor excision circles (TRECs) from newborn screening. Among them, three children were immunologically characterized and followed up to show that postnatal corticosteroid usage may be among the causes of false positivity in TRECs screening.
Subject(s)
Neonatal Screening , Severe Combined Immunodeficiency , Infant, Newborn , Child , Humans , Severe Combined Immunodeficiency/diagnosis , DNA , Risk Factors , Receptors, Antigen, T-CellABSTRACT
Bronchopulmonary dysplasia (BPD) has been a critical morbidity in preterm infants. To improve our definition and prediction of BPD is challenging yet indispensable. We aimed to apply machine learning (ML) to investigate effective models by using the recently-proposed and data-driven definition to predict late respiratory support modalities at 36 weeks' post menstrual age (PMA). We collected data on very-low-birth-weight infants born between 2016 and 2019 from the Taiwan Neonatal Network database. Twenty-four attributes associated with their early life and seven ML algorithms were used in our analysis. The target outcomes were overall mortality, death before 36 weeks' PMA, and severity of BPD under the new definition, which served as a proxy for respiratory support modalities. Of the 4103 infants initially considered, 3200 were deemed eligible. The logistic regression algorithm yielded the highest area under the receiver operating characteristic curve (AUROC). After attribute selection, the AUROC of the simplified models remain favorable (e.g., 0.801 when predicting no BPD, 0.850 when predicting grade 3 BPD or death before 36 weeks' PMA, and 0.881 when predicting overall mortality). By using ML, we developed models to predict late respiratory support. Estimators were developed for clinical application after being simplified through attribute selection.
Subject(s)
Bronchopulmonary Dysplasia , Infant, Premature , Infant, Newborn , Infant , Humans , Retrospective Studies , Algorithms , Area Under Curve , Bronchopulmonary Dysplasia/diagnosis , Machine LearningABSTRACT
Anorexia nervosa (AN) is a serious psychiatric illness with a high mortality rate and a poor outcome. AN in adolescents can be difficult to treat. The prognosis of patients with AN depends highly on how early specialized AN treatment starts. Therefore, the purpose of this study was to explore the experiences of healthcare professionals in treating adolescents with AN. A qualitative study approach was conducted. Through semi-structured interviews, 16 healthcare professionals, including 10 nurses, 3 dieticians and 3 physicians from the paediatric ward at a university-affiliated medical centre in central Taiwan, shared their experiences. Recorded interviews were transcribed and analyzed by content analysis. Five themes and ten subthemes were identified: 1. Building a trusting relationship first: (a) spending time to build trust with the client and (b) establishing a relationship with the client's parents; 2. The key to treatment success: (a) Clients' awareness of the illness and (b) parents' support for clients; 3. Consistency of team treatment goals: (a) maintaining stable vital signs and (b) achieving caloric intake; 4. Empowerment with knowledge about anorexia: (a) continuing education for healthcare professionals and (b) interdisciplinary collaborative care; and 5. Using different interaction strategies: (a) the hard approach and (b) the soft approach. In conclusion, the findings will provide important information for healthcare professionals to apply in monitoring the psychological and emotional states of adolescents with AN. The findings indicate that healthcare professionals should invite parents to participate in the treatment, support and guide them in their adolescent care, develop scales of family stress and support for AN in adolescents, develop interventions, and establish an early therapeutic alliance.
Subject(s)
Anorexia Nervosa , Therapeutic Alliance , Humans , Adolescent , Child , Anorexia Nervosa/therapy , Qualitative Research , Health Personnel/psychology , Delivery of Health CareABSTRACT
PURPOSE: To evaluate gestational age (GA) and small-for-gestational age (SGA) as continuums and gender on the incidences of autism spectrum disorder (ASD) and co-occurring intellectual disability (ID). METHODS: This is a population-based cohort study using the 2004-2008 Taiwan Maternal and Child Health Database. The diagnosis of ASD was determined by International Classification of Diseases, 9th Revision (ICD-9). Generalized estimating equations models were fit to evaluate associations between perinatal variables and ASD. RESULTS: This study included 916,315 individuals. A total of 9474 (1.0%) children were diagnosed with ASD, among whom 1594 (16.8%) had co-occurring ID. Lower GA carried higher odds of ASD with ID (GA < 28 weeks, aOR: 4.26, 95% CI: 2.13, 8.50; GA 28-30 weeks, aOR: 2.80, 95% CI: 1.57, 4.97; GA 31-33 weeks, aOR: 1.63, 95% CI: 1.05, 2.55; GA 34-36 weeks, aOR: 1.39, 95% CI: 1.16, 1.67) and ASD without ID (GA < 28 weeks, aOR:2.05, 95% CI: 1.25, 3.36; GA 28-30 weeks, aOR: 2.02, 95% CI: 1.46, 2.79; GA 31-33 weeks, aOR: 1.42, 95% CI: 1.13, 1.77; GA 34-36 weeks, aOR: 1.18, 95% CI: 1.08, 1.29). Male preterm infants had ASD risks negatively correlated to GA, while ASD risks were significantly increased only among female infants born late preterm. The degree of SGA showed a stepwise increased risk for ASD with and without ID in both male and female infants. CONCLUSION: Lower GA and the degree of SGA are both associated with ASD susceptibility, either with or without co-occurring ID, and remarkably increased the risk of ID.
Subject(s)
Autism Spectrum Disorder , Intellectual Disability , Premature Birth , Child , Infant , Pregnancy , Humans , Infant, Newborn , Male , Female , Autism Spectrum Disorder/epidemiology , Gestational Age , Infant, Premature , Premature Birth/epidemiology , Cohort Studies , Intellectual Disability/epidemiology , Intellectual Disability/complications , Intellectual Disability/diagnosis , Risk FactorsABSTRACT
Rationale: Very preterm infants may require dexamethasone (Dex) for facilitating extubation or treating bronchopulmonary dysplasia. However, Dex may result in disturbance of metabolisms. This study was to investigate the effects of postnatal short course Dex exposure on brown adipose tissue (BAT) in neonatal rats. Method: Neonatal rats received either three consecutive doses of daily Dex (0.2 mg/kg/day) or saline from postnatal P1 to P3. We investigated the effects of Dex on BAT including thermogenesis, mitochondrial dynamics and autophagy flux. We also compared diurnal temperature variation between preterm infants who received systemic corticosteroid and their treatment-naïve controls. Results: Postnatal Dex treatment induced growth retardation, BAT whitening, UCP1 downregulation and cold intolerance in neonatal rats. BAT mitochondria were damaged, evident by loss of normal number, structure, and alignment of cristae. Mitochondrial fission-fusion balance was disrupted and skewed toward increased fusion, reflected by increased OPA1 and MFN2 and decreased DRP1, FIS1 and phosphorylated MFF protein levels. Autophagosome synthesis was increased but clearance was inhibited, indicated by accumulation of p62 protein after Dex treatment and no further increase of LC3-II after chloroquine co-treatment. While autophagy modulators, including chloroquine and rapamycin, did not improve UCP1 downregulation and BAT whitening, AMPK activators could partially rescue these damages. We also demonstrated that preterm infants had higher diurnal temperature variation during corticosteroid treatment. Conclusions: Postnatal short course Dex impaired BAT mitochondrial function and autophagy flux in rat pups. AMPK activators had the potential to rescue the damage.
Subject(s)
AMP-Activated Protein Kinases , Adipose Tissue, Brown , AMP-Activated Protein Kinases/metabolism , Adipose Tissue, Brown/metabolism , Animals , Animals, Newborn , Autophagy , Chloroquine , Dexamethasone/metabolism , Dexamethasone/pharmacology , Humans , Infant, Newborn , Infant, Premature , Rats , ThermogenesisABSTRACT
OBJECTIVE: The aim of this study was to explore mothers' perceived level of stress one month after hospital discharge following the birth of singleton and multiple preterm infants. DESIGN: A cross-sectional design was used to compare mother's perceived stress in two groups of postpartum mothers and the relationship of the theoretical antecedents and these variables. SETTING: A neonatal intensive care unit in a medical center in Taiwan. PARTICIPANTS: Mothers of 52 singletons and 38 multiple premature infants were recruited. One month after the infant was discharged, the participants completed a self-reported questionnaire that included demographic data about the mother and infant, the 21-item Social Support Scale, and the 15-item Perceived Stress Scale. This was returned by email or completed at the outpatient unit. ANALYSIS: Descriptive and inferential analysis. RESULTS: The mean social support scores were 76.6 and 76.5 (out of 105) for mothers with singleton and multiple birth infants, respectively. The most important supporter was the husband. The mean perceived stress scores of 25.8 and 31.0 for mothers with singleton and multiple birth infants, respectively, were significantly different (p = 0.02). Sleep deprivation and social support were predictive indicators of perceived stress in mothers with preterm infants. CONCLUSIONS: We suggest that the differences in stress and needs of mothers with singleton and multiple births should be recognized and addressed in clinics. The findings of this study serve as a reference for promoting better preterm infant care.
ABSTRACT
The light-dependent reactions of photosynthesis use light energy to generate photoelectrons traveling through the thylakoid membranes (TMs). Extracting the photoelectrons from the TMs to form bioanodes can have various applications. Most studies focus on modifying the electrode materials to increase the collected photocurrent. Seldom studies have investigated how the orientation of the TMs influences photocurrent collection. In addition, the formation of reactive oxygen species (ROS) during photosynthesis is a challenge for stable photocurrent generation. Here, we enhanced the photoelectron transfer from the TMs to electrodes by depositing expanded thylakoids as planar supported membranes onto an electrode. The high contact area between the external electrodes and TMs per unit mass of thylakoid allows the thylakoid to more effectively transfer electrons to the electrodes, thereby reducing the free electrons available for the ROS generation. We expanded the naturally stacked thylakoids into liposomes through osmotic pressure and dropcasted them onto an Au electrode. The electrochemical impedance measurement showed that the supported membrane bioanode formed by the expanded liposomes had a lower photoelectron transfer resistance. Additionally, we observed that the expanded TM bioanode provided a higher photocurrent and was more durable to air/water interfacial tension. These results suggest that the effective contact between the expanded TM and electrodes can lead to more efficient electron transfer and increase the system robustness. The photo fuel cell (PFC) made by the expanded TM bioanode had a higher open-circuit voltage than the one made by the stacked TM bioanode. Interestingly, we found that PFCs made of high-load TM bioanodes had fast photocurrent decay under continuous operation at high cell voltages. The poor contact of large numbers of TMs with the electrodes at the high-load TM bioanodes could cause more ROS accumulation and therefore decreased the operational stability, supporting the importance of effective contact between TMs and the electrodes.
Subject(s)
Electrons , Thylakoids , Electrodes , Electron Transport , Liposomes/metabolism , Reactive Oxygen Species/metabolismABSTRACT
Following the emergence of social, environmental, and public health issues, this study analysed the determinants of nascent social entrepreneurial behaviour. This research investigated the effects of empathy and prior experience with social problems on nascent social entrepreneurial behaviour through social entrepreneurial self-efficacy, outcome expectations of social entrepreneurship, and perceived social support. Through utilising the quantitative survey method, this study gathered a total of 560 valid responses, comprising 258 Chinese respondents and 302 Taiwanese respondents. Outcome expectations and perceived social support positively influenced nascent social entrepreneurial behaviour for the Chinese sample, whereas social entrepreneurial self-efficacy and perceived social support positively influenced nascent social entrepreneurial behaviour for the Taiwanese sample. This research enriches the existing literature by taking account of social entrepreneurial behaviour, instead of merely analysing social entrepreneurial intentions.
Subject(s)
Entrepreneurship , Intention , Humans , Self Efficacy , Social Behavior , Surveys and QuestionnairesABSTRACT
Increasing numbers of studies have demonstrated the existence of nanoplastics (1-999 nm) in the environment and commercial products, but the current technologies for detecting and quantifying nanoplastics are still developing. Herein, we present a combination of two techniques, e.g., scanning electron microscopy (SEM) and time-of-flight secondary ion mass spectrometry (ToF-SIMS), to analyze submicron-sized plastics. A drop-casting of a 20-nL particle suspension on a Piranha solution-cleaned silicon wafer with dry ice incubation and subsequent freeze-drying was used to suppress the coffee-ring effect. SEM images were used to quantify particles, and this technique is applicable for 0.195-1.04-µm polystyrene (PS), 0.311-µm polyethylene terephthalate (PET), and 0.344-µm polyethylene (PE) at a minimum concentration of 2.49 × 109 particles/mL. ToF-SIMS could not quantify the particle number, while it could semi-quantitatively estimate number ratios of submicron PE, PET, polyvinyl chloride (PVC), and PS particles in the mixture. Analysis of submicron plastics released from three hot water-steeped teabags (respectively made of PET/PE, polylactic acid (PLA), and PET) was revisited. The SEM-derived sizes and particle numbers were comparable to those measured by a nanoparticle tracking analysis (NTA) regardless of whether or not the hydro-soluble oligomers were removed. ToF-SIMS further confirmed the number ratios of different particles from a PET/PE composite teabag leachate. This method shows potential for application in analyzing more-complex plastic particles released from food contact materials.
Subject(s)
Plastics , Spectrometry, Mass, Secondary Ion , Microscopy, Electron, Scanning , Plastics/analysis , Polyethylene , Polystyrenes/analysisABSTRACT
Nanoplastics are now found in some environmental media and consumer products. However, very limited data on nanoplastics are available for one of the main human consumption sources of microplastics: seafood. Unlike microplastics, a method for extracting nanoplastics from seafood is still lacking. Herein, a combination of common extraction techniques including enzymatic digestion, sequential membrane filtration, centrifugal concentration, and purification (dialysis and sodium dodecylsulfate (SDS) incubation), was developed to extract nanoplastics from oyster and fish tissues. Corolase with subsequent lipase treatment achieved the highest digestion efficiencies (88- 89%) for non-homogenized tissues compared to other proteases and additional cellulase or H2O2 treatment. With the exception of polyethylene terephthalate (PET), enzymatic digestion did not change the morphology or structure of polyvinyl chloride (PVC), polyethylene (PE), or polystyrene (PS) nanoplastic particles, and the subsequent extraction procedures had good recoveries of 71- 110% for fluorescence-labeled 76-nm PVC and 100- and 750-nm PS, as validated by a Nanoparticle Tracking Analysis (NTA). Few of the 1011 digested residual particles of 150- 300 nm in diameter per oyster or per serving of fish tissue were left in the method blank. Consequently, this efficient approach could be used as a pretreatment protocol for current potential nanoplastic detection methods.
Subject(s)
Microplastics , Ostreidae , Animals , Humans , Hydrogen Peroxide , Plastics , Polystyrenes/analysis , Renal Dialysis , SeafoodABSTRACT
BACKGROUND/PURPOSE: The in-hospital length of stay (LOS) among very-low-birth-weight (VLBW, BW < 1500 g) infants is an index for care quality and affects medical resource allocation. We aimed to analyze the LOS among VLBW infants in Taiwan, and to develop and compare the performance of different LOS prediction models using machine learning (ML) techniques. METHODS: This retrospective study illustrated LOS data from VLBW infants born between 2016 and 2018 registered in the Taiwan Neonatal Network. Among infants discharged alive, continuous variables (LOS or postmenstrual age, PMA) and categorical variables (late and non-late discharge group) were used as outcome variables to build prediction models. We used 21 early neonatal variables and six algorithms. The performance was compared using the coefficient of determination (R2) for continuous variables and area under the curve (AUC) for categorical variables. RESULTS: A total of 3519 VLBW infants were included to illustrate the profile of LOS. We found 59% of mortalities occurred within the first 7 days after birth. The median of LOS among surviving and deceased infants was 62 days and 5 days. For the ML prediction models, 2940 infants were enrolled. Prediction of LOS or PMA had R2 values less than 0.6. Among the prediction models for prolonged LOS, the logistic regression (ROC: 0.724) and random forest (ROC: 0.712) approach had better performance. CONCLUSION: We provide a benchmark of LOS among VLBW infants in each gestational age group in Taiwan. ML technique can improve the accuracy of the prediction model of prolonged LOS of VLBW.
Subject(s)
Infant, Premature , Infant, Very Low Birth Weight , Hospitals , Humans , Infant , Infant, Newborn , Length of Stay , Machine Learning , Retrospective StudiesABSTRACT
BACKGROUND: The combination of diabetes mellitus (DM) and chronic kidney disease (CKD) is associated with a high risk of mortality. Annual assessment of the estimated glomerular filtration rate (eGFR) is recommended for patients with DM. We investigated the effect of variability in annual eGFR values on all-cause mortality in patients with type 2 DM. METHODS: In this retrospective cohort study, we enrolled patients with eGFR data between 01 Aug 2017 and 31 July 2018. We defined the index eGFR as the first available eGFR value within the enrollment year and collected additional annual eGFR data from the previous three years. A total of 3592 patients with type 2 DM were enrolled, including 959 patients with CKD (index eGFR < 60 mL/min/1.73 m2) and 2633 patients without CKD. We assessed eGFR variability by using the standard deviation (SD) of the three annual eGFR and index eGFR values. We divided patients into subgroups according to the median SD of their annual eGFR (7.62 mL/min/1.73 m2). The primary endpoint was all-cause mortality after the index eGFR was assessed. RESULTS: During a median follow-up of 19 months (interquartile range: 18â20 months), 127 (3.5%) deaths occurred among all 3592 enrolled patients. The highest mortality risk was observed in the high SD with CKD group, with a hazard ratio (HR) of 2.382 [95% confidence interval (CI) 1.346â4.215] in comparison to the low SD without CKD group after adjusting for the associated factors. In patients without CKD, a high SD was an independent risk factor for mortality (HR = 2.105, 95% CI 1.256â3.528). According to the C-index, the mortality prediction ability was better for the index eGFR + SD model than for the index eGFR alone model (0.671 vs. 0.629, P < 0.001). CONCLUSION: There was a synergistic effect of eGFR variability with single-measured eGFR for the prediction of mortality in patients with type 2 DM. The SD of the annual eGFR values was also an independent predictor of mortality in patients with an eGFR > 60 mL/min/1.73 m2.
Subject(s)
Diabetes Mellitus, Type 2/mortality , Kidney/physiopathology , Renal Insufficiency, Chronic/mortality , Aged , Aged, 80 and over , Biomarkers/blood , Cause of Death , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/diagnosis , Female , Glomerular Filtration Rate , Glycated Hemoglobin/metabolism , Humans , Lipids/blood , Male , Middle Aged , Predictive Value of Tests , Prognosis , Renal Insufficiency, Chronic/diagnosis , Renal Insufficiency, Chronic/physiopathology , Retrospective Studies , Risk Assessment , Risk Factors , Time FactorsABSTRACT
PURPOSE: High glucose concentrations and swings are associated with endothelial dysfunction. We examined the effects of variability in fasting plasma glucose on peripheral artery disease (PAD) in patients with diabetes mellitus (DM). PATIENTS AND METHODS: In this screening study for the risk factors of PAD, we retrospectively collected data on the ankle-brachial index (ABI) and the percentage of mean arterial pressure (%MAP) at the ankle between August 01, 2016 and July 31, 2017. We defined low ABI ≤0.90, high %MAP ≥45%, or both as high-risk PAD and others as low-risk PAD. We compared the standard deviation (SD) of the first fasting plasma glucose data available each year after January 01, 2007. RESULTS: In 2577 patients, a higher SD of annual fasting glucose was observed in those with an ABI ≤0.90 than in patients with an ABI >0.90 (2.6 ± 2.1 vs 2.2 ± 2.3, P = 0.009), and in patients with %MAP ≥45% than in those with %MAP <45% (2.4 ± 2.1 vs 2.2 ± 2.3, P = 0.034). A high-risk PAD was significantly associated with the SD (P = 0.032) but not with the mean (P = 0.338) of annual fasting glucose. The former was an independent risk factor for high-risk PAD (odds ratio = 1.424; 95% CI = 1.118â1.814; P = 0.004). CONCLUSION: Variability but not mean of annual fasting plasma glucose was significantly associated with a high risk of PAD in patients with DM.
ABSTRACT
BACKGROUND: To study the distribution of the birthplaces of very-low-birth-weight (VLBW) infants and examine whether delivery at different levels of hospital affects neonatal and infant mortality. METHODS: This population-based cohort study was retrieved from Taiwan Maternal and Child Health Database. Livebirth singleton VLBW infants born between 2011 and 2014, with BW between 500 and 1499 g and gestational age ≥22 weeks were enrolled. The main outcomes were risk-adjusted odds ratios (aOR) of neonatal and infant mortality by birthplace, which was categorized as medical center (MC), regional hospital (RH), district hospital (DH), and clinic (C) based on Taiwan's hospital accreditation system. RESULTS: Of 4560 VLBW infants enrolled, 3005 (66%) were born in MCs, 1181 (26%) in RHs, 213 (5%) in DHs, and 161 (4%) in Cs. Neonatal mortality rates were 10%, 15%, 16%, 17%, and infant mortality rates were 13%, 17%, 18%, 21%, if born in MCs, RHs, DHs and Cs, respectively. The aORs for neonatal and infant mortality were 1.94 (95% CI 1.53-2.48) and 1.67 (1.34-2.08) for those born in RHs, 2.26 (1.38-3.70) and 1.82 (1.16-2.86) for infants born in DHs/Cs, as compared to those born in MCs. For VLBW infants born in RHs, DHs, and Cs and postnatally transferred to MCs, the aORs of neonatal and infant mortality were lower than those who were not transferred. CONCLUSION: VLBW infants born outside of MCs had higher neonatal and infant mortality and a two-fold higher risk of mortality than those born in MCs. When possible, VLBW infants should be born in MCs.
Subject(s)
Infant Mortality , Infant, Very Low Birth Weight , Child , Cohort Studies , Hospitals , Humans , Infant , Infant, Newborn , Taiwan/epidemiologyABSTRACT
PURPOSE: To evaluate neurodevelopmental outcomes after intravitreal bevacizumab (IVB) therapy in retinopathy of prematurity (ROP) infants compared with those not exposed to IVB. CLINICAL RELEVANCE: The primary concern regarding IVB treatment of ROP is the potential systemic side effects, especially the risk of causing severe neurodevelopmental impairment (sNDI). Results regarding neurodevelopmental outcomes after IVB therapy are conflicting. METHODS: We conducted a meta-analysis and searched PubMed, Embase, and Web of Science for related publications from inception through March 12, 2020. The eligibility criteria were as follows: comparative studies of ROP patients that (1) included IVB as a treatment arm, (2) included a control group without bevacizumab treatment, and (3) reported on at least 1 neurodevelopmental outcome, such as sNDI, Bayley Scales of Infant and Toddler Development, Third Edition (Bayley III), composition scores, or cerebral palsy (CP). The primary outcome was sNDI, with the odds ratio (OR) calculated. Secondary outcomes were mean differences (MDs) for cognitive, language, and motor scores (Bayley III) and OR for CP. The quality of evidence was assessed using the Grades of Recommendation, Assessment, Development, and Evaluation approach. RESULTS: Eight studies, 6 including laser-controlled ROP infants and 2 including ROP infants not requiring treatment, were included. The weighted OR for sNDI in the IVB group was 1.39 (95% confidence interval [CI], 0.98-1.97). The weighted MDs were -1.92 (95% CI, -4.73 to 0.88), -1.32 (95% CI, -4.65 to 1.99), and -3.66 (95% CI, -6.79 to -0.54) for cognitive, language, and motor scores in Bayley III, respectively. The OR for CP was 1.20 (95% CI, 0.56-2.55). No differences were observed between the preset subgroups comprising laser-controlled ROP infants and ROP infants not requiring treatment. The current quality of evidence was rated as low (sNDI and all Bayley III scores) to very low (CP). CONCLUSIONS: Risk of sNDI was not increased in ROP patients after IVB treatment. Bayley III scores were similar in the IVB and control groups, except for a minor difference in motor performance. These findings suggest that the risk of additional sNDI after IVB treatment is low. Randomized trials are warranted to provide a higher quality of evidence.
Subject(s)
Bevacizumab/administration & dosage , Neurodevelopmental Disorders/diagnosis , Retinopathy of Prematurity/drug therapy , Angiogenesis Inhibitors/administration & dosage , Humans , Infant, Newborn , Intravitreal Injections , Neurodevelopmental Disorders/complications , Receptors, Vascular Endothelial Growth Factor/antagonists & inhibitors , Retinopathy of Prematurity/complicationsABSTRACT
This single-centered, retrospective cohort study investigated the timing of involution of retinopathy of prematurity (ROP) and retinal vascularization to zone III after intravitreal bevacizumab (IVB) treatment and its possible impacts on postnatal growth and neurodevelopment. Premature infants with birth weight ≤1500 g, born between 2008 to 2014 and diagnosed with ROP were enrolled. All patients with type 1 ROP underwent IVB as 1st line treatment and were recruited as the study group; those with any stage of ROP except type 1 ROP without treatment served as controls. Neurodevelopmental outcomes were assessed using the Bayley Score of Infant Development (BSID) editions II or III. The study group included 35 eyes from 18 patients; the control group included 86 patients. Twenty-three eyes (65.7%) exhibited ROP regression after a single dose of IVB. The majority of plus sign and extraretinal neovascularization regressed within two weeks. The length of time for retinal vascularization to reach zone III was significantly longer in the treatment group compared with the control (mean post-menstruation age 54.5 vs. 47.0 weeks, p<0.001). Long-term follow-up showed no significant differences in body weight and neurodevelopment between the study and control groups up to the 2-year corrected age.