Pediatric Inpatients Research Articles

Post-Pandemic Epidemiology of Respiratory Infections among Pediatric Inpatients in a Tertiary Hospital in Shanghai, China.

After the removal of the three-year epidemic control restrictions, Chinese children were confronted with heightened risks of respiratory infections. We aimed to investigate the post-pandemic (2023) epidemiology of respiratory infections among pediatric inpatients in a tertiary hospital in Shanghai, China, and compare it with the pre-pandemic (2019) levels. A total of 2644 pediatric inpatients were enrolled based on discharge time and divided into group 2019 (n = 1442) and group 2023 (n = 1202). Information on the demographic characteristics, diagnoses, and pathogen test results (Mycoplasma pneumoniae, MP; Chlamydia pneumoniae, CP; Legionella pneumophila, LP; Influenza A, IFA; Influenza B, IFB; Parainfluenza virus, PIV; respiratory syncytial virus, RSV; Coxsackie virus, COX; Adenovirus, ADV; Epstein-Barr virus, EBV) was collected and analyzed. Significant increases were found in the overall test positivity rates (64.6% vs. 46.7%), mixed infection rates (17.4% vs. 9%), and proportion of severe cases (25.5% vs. 3.7%) after the pandemic than those before it. Compared with 2019, the incidences of MP, IFA, LP, RSV, and ADV remarkably increased, while those of IFB and COX decreased, with no obvious differences noted for CP, PIV, and EBV in 2023. A significantly higher MP-positive detection rate was noticed in children aged 1-6 years in 2023 than in 2019. The incidence of RSV infection began to rise in August 2023, earlier than the conventional epidemic season. Compared with the pre-pandemic levels, the overall test positivity rates of atypical pathogens and viruses among pediatric inpatients significantly increased, and alterations in the disease spectrum, epidemic season, and age of prevalence were observed after the COVID-19 pandemic.

Identifying serious underlying diagnoses among patients with brief resolved unexplained events (BRUEs): a Canadian cohort study

ObjectiveTo describe the demographics and clinical outcomes of infants with brief resolved unexplained events (BRUE).DesignA retrospective cohort study.Setting11 centres within the Canadian Paediatric Inpatient Research Network.PatientsPatients presenting to the emergency...

C-Reactive Protein (CRP) Value and Platelet Counts in Pediatric Dengue Patients at RSUP Dr. Hasan Sadikin Bandung

Plasma leakage, thrombocytopenia, and cytokines play roles in pathogenesis of dengue infection. Thrombocytopenia correlates with severity of the disease. Dengue virus infection produces cytokines that stimulate C-Reactive Protein (CRP). This study aims to describe the results of CRP and platelet counts with severity of dengue infection in paediatric inpatient at Hasan Sadikin Hospital Bandung. This is a descriptive observational study with retrospective, cross-sectional data collection in January 1-December 31, 2021 at Hasan Sadikin Hospital. From 32 total subjects, there were 24(75%) non-severe dengue infections compared to severe dengue 8(25%). Non-severe dengue 19(79.2%), had the most platelet counts of 50,000-150,000/L, while platelets count 20,000-50,000/µL was mostly in severe dengue 4/8(50%). CRP value was mostly normal (<0.3mg/dl) as many as 18/24(75%) in mild dengue, whereas in severe dengue CRP was mostly high as many as 6/8(75%). CRP examination is mostly done in critical phase, both in severe and non-severe dengue. Severe dengue infection was found mostly in platelet counts of 50,000-150,000/µL and normal CRP level as many as 14(58.3%). In severe dengue infection, platelet counts was found mostly in 20,000-50,000/µL and high CRP (≥0.3mg/dl) as many as 3(37.5%). Most cases of dengue fever infections in children at Hasan Sadikin General Hospital in 2021 were of mild severity, with platelet counts ranging from 50,000 to 150,000/µL and normal CRP levels. Examinations were typically carried out during the critical phase.

Mid-upper arm circumference as an indicator of nutritional status improvement in children aged 6-59 months with severe acute malnutrition

Background The prevalence of severe acute malnutrition (SAM) in Indonesia remains high, especially in children with pre-existing chronic disease. These children often present with conditions that could interfere with weight measurements, such as edema or organomegaly. Mid-upper arm circumference (MUAC) is a potential indicator of nutritional status improvement. Objective To analyze the correlation between MUAC and body weight as parameters for nutritional improvement in children with SAM. Methods We performed registry analysis of patients admitted to the Pediatric Ward, Cipto Mangunkusumo Hospital, Jakarta, Indonesia from November 2016 to December 2020. We included children aged 6-59 months who were severely wasted (z-score <-3 on the WHO weight-for-height growth chart), had no conditions that could alter weight measurement, and had a 7-day minimum hospital stay. Patients with missing body weight and/or MUAC data were excluded. MUAC and weight increment between admission and discharge were analyzed using bivariate correlation and linear regression analyses. Results Out of 4,746 pediatric inpatients, 1,996 presented with SAM. Of these, 124 were eligible for analysis. Subjects’ median age was 18 (IQR 11-32) months and median length of stay was 16 days (IQR 9-29 days). Weight increment (g/kg/day) and MUAC increment (mm/day) were independently and significantly correlated (P<0.001; Spearman’s rho=0.414). An adequate weight increment of 5-10 g/kg/day was equivalent to a MUAC increment of 0.319-0.439 mm/day (P<0.001; R=0.374). Conclusion MUAC increment has a moderate positive correlated with weight increment. MUAC is a useful parameter of nutritional status improvement in SAM patients, especially in patients with conditions that could interfere with weight measurement.

Development and testing of a deep learning algorithm to detect lung consolidation among children with pneumonia using hand-held ultrasound.

Severe pneumonia is the leading cause of death among young children worldwide, disproportionately impacting children who lack access to advanced diagnostic imaging. Here our objectives were to develop and test the accuracy of an artificial intelligence algorithm for detecting features of pulmonary consolidation on point-of-care lung ultrasounds among hospitalized children. This was a prospective, multicenter center study conducted at academic Emergency Department and Pediatric inpatient or intensive care units between 2018-2020. Pediatric participants from 18 months to 17 years old with suspicion of lower respiratory tract infection were enrolled. Bedside lung ultrasounds were performed using a Philips handheld Lumify C5-2 transducer and standardized protocol to collect video loops from twelve lung zones, and lung features at both the video and frame levels annotated. Data from both affected and unaffected lung fields were split at the participant level into training, tuning, and holdout sets used to train, tune hyperparameters, and test an algorithm for detection of consolidation features. Data collected from adults with lower respiratory tract disease were added to enrich the training set. Algorithm performance at the video level to detect consolidation on lung ultrasound was determined using reference standard diagnosis of positive or negative pneumonia derived from clinical data. Data from 107 pediatric participants yielded 117 unique exams and contributed 604 positive and 589 negative videos for consolidation that were utilized for the algorithm development process. Overall accuracy for the model for identification and localization of consolidation was 88.5%, with sensitivity 88%, specificity 89%, positive predictive value 89%, and negative predictive value 87%. Our algorithm demonstrated high accuracy for identification of consolidation features on pediatric chest ultrasound in children with pneumonia. Automated diagnostic support on an ultraportable point-of-care device has important implications for global health, particularly in austere settings.

Child and Family Outcomes and Experiences Related to Family-Centered Care Interventions for Hospitalized Pediatric Patients: A Systematic Review.

Family-centered care (FCC) is the recommended model for pediatric inpatient care. Our overall aim was to conduct a narrative synthesis of the contemporary published research on the effectiveness of FCC interventions for pediatric inpatients. Our specific objective was to critique studies of inpatient pediatric FCC interventions that evaluated child or parent outcomes. We searched five databases (Pubmed, CINAHL, Embase, PsychInfo, and Web of Science) for peer-reviewed research published from 1 January 2017 to 6 February 2024. Independent reviewers evaluated each study based on pre-specified inclusion and exclusion criteria, then extracted and narratively synthesized the data. We found 16 studies of 15 interventions conducted in six countries. The studies were quantitative (n = 11), qualitative (n = 3), and mixed methods (n = 2), with most designs being of low to moderate quality based on a modified Mixed-Methods Appraisal Tool. Interventions included family-centered rounds, parent-focused health information technology, education, patient navigation, parent-peer support, partnership, and parent participation in caregiving. Most studies found significant improvements in parents' well-being, knowledge, and participation, as well as decreased stress and anxiety with the FCC interventions compared to usual care. One study found no differences in child outcomes (infant feeding, length of stay) between usual care and a parent-participation intervention. Although FCC interventions led to many improved outcomes for parents, there were few well-designed comparison studies using validated tools and well-defined interventions. Higher quality research is needed to promote greater uptake and sustainability of FCC interventions globally.

Real-Time Enterovirus D68 Outbreak Detection through Hospital Surveillance of Severe Acute Respiratory Infection, Senegal, 2023.

In December 2023, we observed through hospital-based surveillance a severe outbreak of enterovirus D68 infection in pediatric inpatients in Dakar, Senegal. Molecular characterization revealed that subclade B3, the dominant lineage in outbreaks worldwide, was responsible for the outbreak. Enhanced surveillance in inpatient settings, including among patients with neurologic illnesses, is needed.

Patient Malnutrition Risk or Number of Initial Nutrition Intervention Categories Can Be Used to Develop Registered Dietitian Nutritionist Staffing Models in the Inpatient Adult and Pediatric Hospital Setting: A Cohort Study

BackgroundMore data are needed to guide evidence-based, inpatient registered dietitian nutritionist (RDN) staffing models. ObjectiveIdentify relationships between: 1) patient malnutrition risk or intervention categories and estimated total RDN care time (“care time”); and 2) care time and emergency department (ED) visits. DesignThis study was a prospective cohort study with data collection via RDN surveys, patient interviews, and medical record review. Participants/settingAdult (n = 550) and pediatric (n = 345) patients enrolled at 32 adult and 27 pediatric US hospitals from August 2019 to January 2023. Main outcome measuresCare time and ED visits within 90 days of hospital discharge were measured. Statistical analysisMultilevel, generalized linear, and negative binomial regression models were used to evaluate relationships between patient characteristics and Box-Cox–transformed care time and the relationship between Box-Cox–transformed care time and total ED visits. ResultsAfter adjusting for patient characteristics, adult patients classified as at malnutrition risk vs not at risk required a mean of 8% (95% CI 5% to 11%) more care time. Pediatric patients at medium or high compared with low malnutrition risk needed a mean of 21% (95% CI 4% to 40%) and 31% (95% CI 12% to 54%) more care time, respectively. Number of initial RDN interventions categories per patient (0 to 1 vs 2 to 3 or 4+) was associated with a mean of 10% (95% CI 7% to 14%) or 8% (95% CI 2% to 15%) more care time for adults and 17% (95% CI 5% to 32%) and 39% (95% CI 21% to 61%) more care time for children, respectively. More estimated total RDN care time was associated with significantly higher incidence rate ratios of ED visits (adults: incidence rate ratio 2.8; 95% CI 1.1 to 7.2; children: incidence rate ratio 1.7; 95% CI 1.02 to 2.8). ConclusionsPatient malnutrition risk or breadth of nutrition interventions required can inform nutrition department staffing. Intervention studies may better define relationships between care time and medical outcomes.

Pediatric psychiatric inpatients' perspectives of aggression management: Discernment in the doorway.

Aggressive behavior is common on psychiatric inpatient units. Seclusion and restraint interventions to manage patients' aggressive behavior may have the consequence of being traumatizing for patients. Pediatric psychiatric patients' perspective on the use of seclusion and restraint interventions is not present in the literature. This hermeneutic nursing research study asked the question, "How might we understand children's experiences of seclusion and restraints on an inpatient psychiatric unit?" Four past pediatric psychiatric inpatients shared their hospitalization experiences that occurred within the previous year when they were 10 years old. The texts of the research interviews were compared to Attachment Theory for a deeper understanding of the meaning of the message. Participants commonly described experiences with seclusion and restraints as feeling trapped and alone in a dark room. They recommended the nurses step into the room with them to help them heal. Interpretively, the rooms on inpatient units could be considered as actual and metaphorical spaces of possible harm or healing. The participant's voices expand understanding of nurse's use of discernment at the doorway of a patient room to ensure the most therapeutic care is provided to the patient in these spaces through a secure nurse-patient relationship.

A novel combined nomogram for predicting severe acute lower respiratory tract infection in children hospitalized for RSV infection during the post-COVID-19 period.

Off-season upsurge of respiratory syncytial virus (RSV) infection with changed characteristics and heightened clinical severity during the post-COVID-19 era are raising serious concerns. This study aimed to develop and validate a nomogram for predicting the risk of severe acute lower respiratory tract infection (SALRTI) in children hospitalized for RSV infection during the post-COVID-19 era using machine learning techniques. A multicenter retrospective study was performed in nine tertiary hospitals in Yunnan, China, enrolling children hospitalized for RSV infection at seven of the nine participating hospitals during January-December 2023 into the development dataset. Thirty-nine variables covering demographic, clinical, and laboratory characteristics were collected. Primary screening and dimension reduction of data were performed using Least Absolute Shrinkage and Selection Operator (LASSO) regression, followed by identification of independent risk factors for RSV-associated SALRTI using Logistic regression, thus finally establishing a predictive nomogram model. Performance of the nomogram was internally evaluated by receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) based on the development dataset. External validation of our model was conducted using same methods based on two independent RSV cohorts comprising pediatric RSV inpatients from another two participating hospitals between January-March 2024. The development dataset included 1102 patients, 239 (21.7%) of whom developed SALRTI; while the external validation dataset included 249 patients (142 in Lincang subset and 107 in Dali subset), 58 (23.3%) of whom were diagnosed as SALRTI. Nine variables, including age, preterm birth, underlying condition, seizures, neutrophil-lymphocyte ratio (NLR), interleukin-6 (IL-6), lactate dehydrogenase (LDH), D-dimer, and co-infection, were eventually confirmed as the independent risk factors of RSV-associated SALRTI. A predictive nomogram was established via integrating these nine predictors. In both internal and external validations, ROC curves indicated that the nomogram had satisfactory discrimination ability, calibration curves demonstrated good agreement between the nomogram-predicted and observed probabilities of outcome, and DCA showed that the nomogram possessed favorable clinical application potential. A novel nomogram combining several common clinical and inflammatory indicators was successfully developed to predict RSV-associated SALRTI. Good performance and clinical effectiveness of this model were confirmed by internal and external validations.

Exploring cognitive and syntactic dimensions in a healthcare environment affecting the spatial perceptions of paediatric inpatients

Exploring cognitive and syntactic dimensions in a healthcare environment affecting the spatial perceptions of paediatric inpatients

Model based on the automated AI-driven CT quantification is effective for the diagnosis of refractory Mycoplasma pneumoniae pneumonia

The prediction of refractory Mycoplasma pneumoniae pneumonia (RMPP) remains a clinically significant challenge. This study aimed to develop an early predictive model utilizing artificial intelligence (AI)-derived quantitative assessment of lung lesion extent on initial computed tomography (CT) scans and clinical indicators for RMPP in pediatric inpatients. A retrospective cohort study was conducted on patients with M. pneumoniae pneumonia (MP) admitted to the Children’s Hospital of Nanjing Medical University, China from January 2019 to December 2020. An early prediction model was developed by stratifying the patients with Mycoplasma pneumoniae pneumonia (MPP) into two cohorts according to the presence or absence of refractory pneumonia. A retrospective cohort of 126 children diagnosed with Mycoplasma pneumoniae pneumonia (MPP) was utilized as a training set, with 85 cases classified as RMPP. Subsequently, a prospective cohort comprising 54 MPP cases, including 37 instances of RMPP, was assembled as a validation set to assess the performance of the predictive model for RMPP from January to December 2021. We defined a constant Φ which can combine the volume and CT value of pulmonary lesions and be further used to calculate the logarithm of Φ to the base of 2 (Log2Φ). A clinical-imaging prediction model was then constructed utilizing Log2Φ and clinical characteristics. Performance was evaluated by the area under the receiver operating characteristic curve (AUC). The clinical model demonstrated AUC values of 0.810 and 0.782, while the imaging model showed AUC values of 0.764 and 0.769 in the training and test sets, respectively. The clinical-imaging model, incorporating Log2Φ, temperature(T), aspartate aminotransferase (AST), preadmission fever duration (PFD), and preadmission macrolides therapy duration (PMTD), achieved the highest AUC values of 0.897 and 0.895 in the training and test sets, respectively. A prognostic model developed through automated quantification of lung disease on CT scans, in conjunction with clinical data in MPP may be utilized for the early identification of RMPP.

True Rate of Allergy among Pediatric Inpatients with Penicillin Allergy Labels (TRIAL).

Penicillin allergy is a common drug allergy diagnosis in pediatric patients; however, upon appropriate allergy testing, many of these patients are found not to have a true allergy. For patients with a reported allergy, alternative antibiotics are prescribed, which are less effective, more toxic, or more expensive. There is a lack of data evaluating allergies in hospitalized children and comparing allergy assessments conducted by pediatric allergists and pharmacists. To estimate the percentage of pediatric patients admitted with reported penicillin allergy who did not have a true penicillin allergy. This single-centre prospective cohort study included inpatients between 6 months and 17 years of age, with a documented penicillin allergy, who were admitted to the general pediatric and oncology units of a tertiary care children's hospital between November 2019 and March 2023. The allergy history, evaluation, and risk categorization were performed by pharmacists. The history was reviewed with the allergist, and the patient was then referred, underwent skin testing, or received oral amoxicillin challenge with monitoring for 1 hour. Thirty patients were included, of whom 29 (97%) had delabelling of their penicillin allergy. Four patients (13%) had delabelling on the basis of history alone, without risk assessment. Twenty-five (83%) of the patients were assessed as having low risk; 24 of these had delabelling following oral challenge, and 1 did not complete the oral challenge because of transfer to another hospital. One patient (3%) was assessed as having moderate risk, with delabelling on the basis of results of skin testing and oral challenge. The pharmacist's and allergist's risk assessments were in agreement in 29 (97%) of the 30 cases. Pediatric patients, including those with oncologic malignancies, are often mislabelled as having a penicillin allergy. Pharmacists are able to accurately determine true allergy risk and delabel penicillin allergies for pediatric patients in the hospital setting.

Routine Postclinical Event Debriefings on Inpatient Pediatric Units.

Debriefings are an underutilized opportunity to enhance team performance and safety culture. Little is known about the impact of postclinical event debriefing programs in Pediatric Hospital Medicine (PHM). We sought to develop a standardized debriefing process with multidisciplinary involvement after all clinical events on PHM service lines. Our primary aim was to achieve 75% debriefing completion rate over 12 months with debriefing duration less than 10 minutes. A standardized postclinical event debriefing process was created at a large tertiary children's hospital. We aimed to debrief after clinical events on PHM services. The debriefing process was developed with key stakeholders and used a key driver diagram and Plan-Do-Study-Act cycles to refine the process. The project team reviewed the data monthly. During our 20-month study period, debriefing completion rate sustained a median of 66% with a median debriefing time of 7 minutes. Most debriefings (61%) had all core team members present with attending physicians (pediatric hospitalists) being absent most often. Barriers to debriefing with all core members present included service type, time of day, and shift change. Process changes were implemented based on concerns addressed in the debriefings. Multidisciplinary, postclinical event debriefings were successfully implemented on inpatient pediatric wards. Future steps include process implementation on non-PHM units in our hospital based on expressed interest and to further assess how debriefings optimize team performance and improve clinical outcomes.

Improving antibiotic use for community acquired pneumonia in hospitalized children through electronic feedback reports

Background: Feedback reports summarizing clinician performance are effective tools to improve antibiotic stewardship in the ambulatory setting, but few studies have evaluated their effectiveness for pediatric inpatients. We developed and implemented feedback reports reflecting electronically-derived measures of appropriate antibiotic choice and duration for community acquired pneumonia (CAP) and measured their impact on appropriate antibiotic use in children hospitalized for CAP. Methods: We performed a single center quasi-experimental study including children 6 months to 17 years hospitalized for CAP between 12/1/2021-11/30/2023. Children with chronic medical conditions, ICU stays >48 hours, and outside transfers were excluded. The intervention occurred in 11/2022 and included clinician education, a monthly group-level feedback report disseminated by email (Figure 1), and a monthly review of clinician performance during a virtual quality improvement meeting. Patient characteristics were compared using chi-square or Wilcoxon rank sum tests. Interrupted time series analysis (ITSA) was used to measure the immediate change in the proportion of CAP encounters receiving both the appropriate antibiotic choice and duration, as well as the change in slope from the preintervention to the postintervention periods. Choice and duration were analyzed separately using ITSA as a secondary analysis. Results: There were 817 CAP encounters, including 420 preintervention and 397 postintervention. Patients admitted in the postintervention period were older (median age 2 years vs 3 years, P=0.03), but otherwise there were no differences in race, ethnicity, sex, ICU admission, or complicated pneumonia. Preintervention, 52% of encounters received both the appropriate antibiotic choice and duration; 96% of encounters received the appropriate antibiotic choice and 54% received the appropriate duration. The ITSA demonstrated an immediate 16% increase in the proportion of patients receiving both appropriate antibiotic choice and duration (95% confidence interval, 1-31%; P = 0.047) and no significant further increase over time following the intervention (P = 0.84) (Figure 2). When antibiotic choice was analyzed separately by ITSA, there was no immediate change or change over time in the proportion of patients receiving the appropriate antibiotic choice. In the ITSA of duration alone, there was an immediate 17% increase in the proportion receiving the appropriate duration (95% confidence interval, 2-33%; P = 0.03) and no change over time. Conclusion: Feedback reports generated from electronically-derived metrics of antibiotic choice and duration, combined with ongoing clinician education, increased the proportion of children with CAP treated with the appropriate antibiotic duration. Electronic feedback reports are a scalable and impactful intervention to improve antibiotic use in children hospitalized with CAP.

Impact of the COVID-19 Pandemic on Inpatient Pediatric Medical Student Education in Hawai'i.

The COVID-19 pandemic has had many effects on medical student education, ranging from safety measures limiting patient exposure to changes in patient diagnoses encountered by medical students in their clerkship experience. This study aimed to identify the impact of the pandemic on the inpatient experiences of third- and fourth-year medical students by assessing patient volumes and diagnoses seen by students. Frequency and types of notes written by medical students on hospital-based pediatric rotations at Kapi'olani Medical Center for Women and Children as well as patient diagnoses and ages were compared between 2 time periods: pre-pandemic (July 2018-February 2020) and pandemic (May 2020-September 2021). On average, the number of patients seen by medical students was significantly reduced in the pandemic period from 112 patients/month to 88 patients/month (P=.041). The proportion of patients with bronchiolitis or pneumonia were also significantly reduced in the pandemic period (P<.001). Bronchiolitis was diagnosed in 1.3% of patients seen by medical students during the pandemic period, compared with 5.9% of patients pre-pandemic. Pneumonia was diagnosed in 1.0% of patients seen by medical students in the pandemic period compared with 4.6% pre-pandemic. There was no significant difference in patient age between the 2 groups (P=.092). During the first 18 months of the COVID-19 pandemic, medical students in this institution had a remarkably different inpatient experience from that of their predecessors. They saw fewer patients, and those patients had fewer common pediatric respiratory diseases. These decreases suggest these students may require supplemental education to compensate for these gaps in direct pediatric clinical experience.

The Prevalence, Predisposing Factors, and Outcomes of Pneumocystis jirovecii Pneumonia among Pediatric Inpatients, Northeastern Iran

Abstract Objective Pneumocystis jirovecii pneumonia (PJP), caused by Pneumocystis jirovecii, is one of the opportunistic fungal infections that can cause life-threatening pneumonia in children with underlying diseases. Due to the similarity of the symptoms of PJP with other lung infections, such as tuberculosis, differential and accurate diagnosis is necessary. The current study investigated the molecular diagnosis of P. jirovecii, predisposing factors and the outcomes, among pediatric inpatients in Northeastern Iran. Methods In this study, 180 bronchoalveolar lavage specimens were obtained from hospitalized children with respiratory disorders. The specimens were examined using Giemsa stain, and the genomic DNA was extracted according to the protocol of the AmpliSens kit. A real-time polymerase chain reaction (PCR) technique was used to detect P. jirovecii by the AmpliSens Pneumocystis jirovecii (carinii)-FRT PCR kit. Results Among the patients studied, 34 (18.9%) were positive and 8 (4.4%) were suspicious of the presence of P. jirovecii. Among the 34 positive cases, 12 (35%) were diagnosed before, and 22 (65%) during the coronavirus 2019 (COVID-19) pandemic. Only two cases (5.88%) among the positive ones detected by the real-time PCR method were observed using Giemsa staining. Also, no correlation was observed between positive cases of infection and the sex, the outcomes, and underlying diseases. Conclusion The results showed that PJP has a relatively high prevalence among pediatric inpatients with respiratory disorders. Neutropenia is a significant predisposing factor in these patients. However, there is no correlation between PJP cases and outcomes and underlying diseases. Most of the patients with PJP were affected during the COVID-19 pandemic, probably due to treatment with corticosteroids.

Incidence of acute Deep Vein Thrombosis in pediatric and adolescent orthopedic trauma hospitalized patients and effect of rivaroxaban treatment

ObjectiveDeep vein thrombosis (DVT) provoked by orthopedic trauma is increasing in pediatric hospitalized patients. The purpose of our study is to identify the prevalence of acute DVT in pediatric and adolescent orthopedic trauma hospitalized patients and focus on evaluating the anticoagulation strategies and the clinical outcomes after a confirmed acute DVT. MethodsPatients (age ≤18 years) with a confirmed acute DVT admitted for orthopedic trauma between September 2017 and December 2023 were included. Patients were classified into the non-anticoagulation (NA), the in-hospital anticoagulation (IHA), and the in-and-out-of-hospital anticoagulation (IOHA) groups based on their anticoagulation regimen. Efficacy outcomes were the venous thromboembolism (VTE) recurrence within 3 months and change in thrombus burden by repeat imaging at 2 weeks after discharge compared with baseline. Safety outcomes were major bleeding (MB) and clinically relevant non-major bleeding (CRNMB) within 3 months. ResultsOf the 11,206 pediatric and adolescent orthopedic trauma inpatients, 94(median age,16 [15, 18] years) were diagnosed with acute DVT, with an incidence of 0.84 %, of which 8(8.5 %) received NA, 41(43.6 %) received IHA, and 45(47.9 %) received IOHA. After the diagnosis of DVT, of patients who received anticoagulation, 97.9 % were treated with rivaroxaban as an oral anticoagulant, and 71.7 % received an LMWH course of ≥5 days before starting rivaroxaban therapy. With a median anticoagulation course of 22(8, 37.3) days, the duration in the IOHA was significantly longer than the IHA (37 days vs. 8 days, p = 0.000). No patients experienced recurrent VTE and MB at 3 months, and 1 received IOHA had a CRNMB event (0 % vs. 0 % vs. 2.2 %, p = 1.000). Thrombus resolution was significantly higher in patients who received anticoagulation therapy (IOHA 91.1 % vs. IHA 80.5 % vs. NA 37.5 %, P = 0.002), and thrombus-no relevant change was significantly lower in patients who received the IOHA strategy compared with the other groups (4.4 % vs. 19.5 % vs. 62.5 %, P = 0.000). ConclusionsA rivaroxaban-predominant IOHA strategy significantly reduced the thrombotic burden without increasing the risk of bleeding for the treatment of DVT in adolescents with orthopedic trauma. Duration of anticoagulation therapy <6 weeks appears appropriate for adolescent orthopedic trauma-related DVT.

Correlation between MUAC z‑score and the anthropometric indexes, weight and height, in the assessment of the nutritional status of pediatric inpatients

Correlation between MUAC z‑score and the anthropometric indexes, weight and height, in the assessment of the nutritional status of pediatric inpatients

Development of a Recombinase-Aided Amplification Assay for the Rapid Detection of Candida auris.

Candida auris (C. auris) was first discovered in Japan in 2009 and has since spread worldwide. It exhibits strong transmission ability, high multidrug resistance, blood infectivity, and mortality rates. Traditional diagnostic techniques for C. auris have shortcomings, leading to difficulty in its timely diagnosis and identification. Therefore, timely and accurate diagnostic assays for clinical samples are crucial. We developed a novel, rapid recombinase-aided amplification (RAA) assay targeting the 18S rRNA, ITS1, 5.8S rRNA, ITS2, and 28S rRNA genes for C. auris identification. This assay can rapidly amplify DNA at 39 °C in 20 min. The analytical sensitivity and specificity were evaluated. From 241 clinical samples collected from pediatric inpatients, none were detected as C. auris-positive. We then prepared simulated clinical samples by adding 10-fold serial dilutions of C. auris into the samples to test the RAA assay's efficacy and compared it with that of real-time PCR. The assay demonstrated an analytical sensitivity of 10 copies/μL and an analytical specificity of 100%. The lower detection limit of the RAA assay for simulated clinical samples was 101 CFU/mL, which was better than that of real-time PCR (102-103 CFU/mL), demonstrating that the RAA assay may have a better detection efficacy for clinical samples. In summary, the RAA assay has high sensitivity, specificity, and detection efficacy. This assay is a potential new method for detecting C. auris, with simple reaction condition requirements, thus helping to manage C. auris epidemics.