Associations between masturbation frequency, anxiety, and sleep disturbances during the COVID-19 era.

The COVID-19 pandemic has markedly influenced people's lifestyle and sexual behaviors, including masturbation patterns. This study delved into how masturbation frequency could impact anxiety levels, sleep quality, and somatic symptoms post-masturbation among Chinese adults during this period. From December 2022 to January 2023, we conducted a cross-sectional survey, gathering data via WenJuanXing, a leading online survey platform in China. This platform facilitated the recruitment of a diverse cohort, spanning various age groups and geographical locations. Masturbation frequency among participants was subjectively categorized into three levels: 'lesser' (a few times over the past year), 'moderate' (once to three times a month), and 'greater' (weekly to almost daily). To assess anxiety levels and sleep quality, we employed the Generalized Anxiety Disorder 7-item (GAD-7) scale and the Pittsburgh Sleep Quality Index (PSQI), respectively. Among 1500 participants, we received 1423 valid responses. Among these, 65% (n = 930) reported engaging in masturbation in the past year, of whom 87.5% reported subjectively experiencing various levels of fatigue post-masturbation. These 930 responses were subsequently analyzed in-depth (e.g., non-parametric test and pathway analysis), with ages ranging from 18 to 54 years (mean age = 30.5, SD = 7.42). Notably, our findings indicate that participants with greater masturbation frequency exhibited higher anxiety levels [GAD-7 median score: 6 (lesser) vs. 4 (moderate) vs. 8 (greater), p < 0.001, Cohen's f = 0.41] and poorer sleep quality [PSQI median score: 5 (lesser) vs. 4 (moderate) vs. 7 (greater), p < 0.001, Cohen's f = 0.46]. A rough positive correlation between masturbation frequency and PSQI score was also observed (ß = 0.16, p < 0.001). These results suggest potential mental and sleep benefits at moderate frequencies, especially in contrast to greater frequencies. However, the cross-sectional design and subjective categorization of masturbation frequency in our study limit our ability to draw definitive causal conclusions. These limitations highlight the need for future longitudinal research employing more precise categorizations of masturbation behavior, such as frequency, to delve deeper into these relationships and understand their underlying mechanisms.

C3aR in the medial prefrontal cortex modulates the susceptibility to LPS-induced depressive-like behaviors through glutamatergic neuronal excitability.

Complement activation and prefrontal cortical dysfunction both contribute to the pathogenesis of major depressive disorder (MDD), but their interplay in MDD is unclear. We here studied the role of complement C3a receptor (C3aR) in the medial prefrontal cortex (mPFC) and its influence on depressive-like behaviors induced by systematic lipopolysaccharides (LPS) administration. C3aR knockout (KO) or intra-mPFC C3aR antagonism confers resilience, whereas C3aR expression in mPFC neurons makes KO mice susceptible to LPS-induced depressive-like behaviors. Importantly, the excitation and inhibition of mPFC neurons have opposing effects on depressive-like behaviors, aligning with increased and decreased excitability by C3aR deletion and activation in cortical neurons. In particular, inhibiting mPFC glutamatergic (mPFCGlu) neurons, the main neuronal subpopulation expresses C3aR, induces depressive-like behaviors in saline-treated WT and KO mice, but not in LPS-treated KO mice. Compared to hypoexcitable mPFCGlu neurons in LPS-treated WT mice, C3aR-null mPFCGlu neurons display hyperexcitability upon LPS treatment, and enhanced excitation of mPFCGlu neurons is anti-depressant, suggesting a protective role of C3aR deficiency in these circumstances. In conclusion, C3aR modulates susceptibility to LPS-induced depressive-like behaviors through mPFCGlu neuronal excitability. This study identifies C3aR as a pivotal intersection of complement activation, mPFC dysfunction, and depression and a promising therapeutic target for MDD.

Neurexin dysfunction in neurodevelopmental and neuropsychiatric disorders: a PRIMSA-based systematic review through iPSC and animal models.

Background: Neurexins, essential synaptic proteins, are linked to neurodevelopmental and neuropsychiatric disorders like autism spectrum disorder (ASD) and schizophrenia. Objective: Through this systematic review, we aimed to shed light on the relationship between neurexin dysfunction and its implications in neurodevelopmental and neuropsychiatric manifestations. Both animal and human-induced pluripotent stem cell (hiPSC) models served as our primary investigative platforms. Methods: Utilizing the PRISMA 2020 guidelines, our search strategy involved scouring articles from the PubMed and Google Scholar databases covering a span of two decades (2003-2023). Of the initial collection, 27 rigorously evaluated studies formed the essence of our review. Results: Our review suggested the significant ties between neurexin anomalies and neurodevelopmental and neuropsychiatric outcomes, most notably ASD. Rodent-based investigations delineated pronounced ASD-associated behaviors, and hiPSC models derived from ASD-diagnosed patients revealed the disruptions in calcium dynamics and synaptic activities. Additionally, our review underlined the integral role of specific neurexin variants, primarily NRXN1, in the pathology of schizophrenia. It was also evident from our observation that neurexin malfunctions were implicated in a broader array of these disorders, including ADHD, intellectual challenges, and seizure disorders. Conclusion: This review accentuates the cardinal role neurexins play in the pathological process of neurodevelopmental and neuropsychiatric disorders. The findings underscore a critical need for standardized methodologies in developing animal and hiPSC models for future studies, aiming to minimize heterogeneity. Moreover, we highlight the need to expand research into less studied neurexin variants (i.e., NRXN2 and NRXN3), broadening the scope of our understanding in this field. Our observation also projects hiPSC models as potent tools for bridging research gaps, promoting translational research, and fostering the development of patient-specific therapeutic interventions.

Real-Time Vehicle Detection from UAV Aerial Images Based on Improved YOLOv5.

Aerial vehicle detection has significant applications in aerial surveillance and traffic control. The pictures captured by the UAV are characterized by many tiny objects and vehicles obscuring each other, significantly increasing the detection challenge. In the research of detecting vehicles in aerial images, there is a widespread problem of missed and false detections. Therefore, we customize a model based on YOLOv5 to be more suitable for detecting vehicles in aerial images. Firstly, we add one additional prediction head to detect smaller-scale objects. Furthermore, to keep the original features involved in the training process of the model, we introduce a Bidirectional Feature Pyramid Network (BiFPN) to fuse the feature information from various scales. Lastly, Soft-NMS (soft non-maximum suppression) is employed as a prediction frame filtering method, alleviating the missed detection due to the close alignment of vehicles. The experimental findings on the self-made dataset in this research indicate that compared with YOLOv5s, the mAP@0.5 and mAP@0.5:0.95 of YOLOv5-VTO increase by 3.7% and 4.7%, respectively, and the two indexes of accuracy and recall are also improved.

The Mediating Role of Positive Attitudes on the Relationship Between Esports Gaming Hours and Psychological Well-Being During the COVID-19 Pandemic.

Electronic sports game (esports) gaming has seen a surge in popularity, especially during the coronavirus disease 2019 (COVID-19) pandemic, with more young people turning to it as an alternative to physical activities. However, the impact of esports gaming on mental health is a matter of concern. Previous studies have produced inconsistent findings on the relationship between gaming hours and mental health, and the moderating factors involved remain unexplored. This study aimed to investigate the moderating effect of participants' subjective attitudes toward esports gaming on the relationship between daily gaming hours and psychological well-being (PWB) among Chinese young adults during the COVID-19 lockdown. A nationwide online survey was conducted on 550 Chinese young adults using the Credamo platform. Ryff's Psychological Well-Being Scales (42-Item version) were used to assess PWB levels. The analysis included 453 participants. Gaming hours were negatively correlated with PWB scores. However, when considering the moderating effect of subjective attitudes, the association between gaming hours and PWB scores was largely positive. Our study suggests that subjective attitudes toward esports gaming outweigh gaming hours in promoting personal psychological well-being. We propose practical recommendations for healthy esports participation patterns that prioritize positive attitudes, especially in similar future scenarios like COVID-19. Our findings may inform future psychological intervention and research in the esports domain.

A real-time prediction interval correction method with an unscented Kalman filter for settlement monitoring of a power station dam.

A prediction interval (PI) method is developed to quantify the model uncertainty of embankment settlement prediction. Traditional PIs are constructed based on specific past period information and remain unchanged; hence, they neglect discrepancies between previous calculations and new monitoring data. In this paper, a real-time prediction interval correction method is proposed. Time-varying PIs are built by continuously incorporating new measurements into model uncertainty calculations. The method consists of trend identification, PI construction, and real-time correction. Primarily, trend identification is carried out by wavelet analysis to eliminate early unstable noise and determine the settlement trend. Then, the Delta method is applied to construct PIs based on the characterized trend, and a comprehensive evaluation index is introduced. The model output and the upper and lower bounds of the PIs are updated by the unscented Kalman filter (UKF). The effect of the UKF is compared with that of the Kalman filter (KF) and extended Kalman filter (EKF). The method was demonstrated in the Qingyuan power station dam. The results show that the time-varying PIs based on trend data are smoother than those based on original data with better evaluation index scores. Also, the PIs are not affected by local anomalies. The proposed PIs are consistent with the actual measurements, and the UKF performs better than the KF and EKF. The approach has the potential to provide more reliable embankment safety assessments.

Do Parents of Children with ADHD Know the Disease? Results from a Cross-Sectional Survey in Zhejiang, China.

Parents' knowledge, attitudes, and beliefs about attention-deficit/hyperactivity disorder (ADHD) are crucial in the selection of the treatment strategy and how to care for children with ADHD. However, little is known about parents' conception in mainland China. A semi-structured questionnaire was used to assess this information with 25 true/false questions regarding ADHD, and other questions investigating the methods of acquiring ADHD-related information, treatment preference, and concerns about ADHD treatment strategy. We found that the average score of all the participants was 17.42 ± 2.69 (total of 25 points) for the questionnaire on knowledge, attitudes, and beliefs about ADHD. This indicated that the parents had insufficient knowledge of this disease profile. They always accessed specialized information through mobile internet. For the treatment options, the investigated parents chose psychotherapy treatment rather than medications, in that they worried about the side effects of medication and expected to find alternative treatment strategies. The present investigation demonstrated that most parents lack knowledge about ADHD in treatment decision making in China. Medical professionals should provide parents with evidence-based ADHD-related information to help them understand this disease.

Highly Strengthened and Toughened Zn-Li-Mn Alloys as Long-Cycling Life and Dendrite-Free Zn Anode for Aqueous Zinc-Ion Batteries.

Zn-ion batteries (ZIBs) using aqueous electrolyte, recently, have been a hot topic owing to the high safety, low cost, and high specific energy capacity. However, the formation of dendrite and side reactions on the Zn anode during cycling inhibit the application of ZIBs. An advanced Zn anode by alloying a small amount of Li and Mn with Zn is hereby reported. It is found that Li and Mn can form cationic ions which restrain lateral diffusion of Zn ions and regulate zinc electrodeposition through the electrostatic shield mechanism. As a result, the formation of Zn dendrite is greatly inhibited. This process also mitigates the formation of Zn-based byproduct and Zn passivation. Consequently, the symmetric ZnLiMn/ZnLiMn cell presents a small overpotential of 30 mV at 1 mA cm-2 , greatly enhanced cycling durability (1000 h at a current density of 1 mA cm-2 ), and a dendrite-free morphology after cycles. Moreover, the authors find that the ZnLiMn alloy has greatly enhanced mechanical properties. The assembled ZnLiMn/MnO2 full cell can retain 96% capacity after 400 cycles at 1 C. Thus, the alloying low-cost Li/Mn strategy is very promising for large-scale production of dendrite-free Zn electrode in rechargeable ZIBs.

Subjective attitudes moderate the social connectedness in esports gaming during COVID-19 pandemic: A cross-sectional study.

Background: Electronic sports (esports) has become a practical intervention for young people craving social connections since the COVID-19 pandemic. Past studies have shown an equivocal role of esports participation in boosting social ties or social connectedness. It is unclear if their relationship is affected by subjective attitudes of gamers. Moreover, the present COVID-19 pandemic may further modify this relationship to a greater extent. Objective: This study primarily aimed to investigate the moderating effect of participants' subjective attitudes toward esports gaming on the relationship between in-game interaction during esports participation and participants' anticipated social connectedness among Chinese young adults during the COVID-19 lockdown periods in China. Methods: We conducted a nationwide online questionnaire survey through the Credamo platform among 550 Chinese young adults in the present study. The Social Connectedness Scale-Revised was used to assess participants' social connectedness levels. Results: Four hundred and fifty-three participants were included in the final analysis. The effective response rate was 82.4%. Our results showed that the esports participation measured by in-game communication frequency among participants, as an independent factor, was negatively associated with participants' social connectedness scores (ß = -0.13, p < 0.05). However, when the moderating effect of subjective attitudes toward esports gaming was considered, the association between communication frequency and social connectedness scores was turned into the opposite direction with a larger effect size (ß = 0.35, p < 0.001). Conclusion: Our primary finding revealed that a positive mindset in esports gaming is indispensable in boosting social connectedness. Overall, our study provided supporting evidence for the benefits of esports on individuals' social connectedness. In future circumstances similar to the COVID-19 era, playing esports games is strongly encouraged in an attempt to maintain social connections and relieve psychological stress. In the meantime, we believe that having a positive esports experience, often associated with a positive mindset during gaming, can better promote social connectedness. Nevertheless, the amount of time spent on gaming per day should be of great concern, as esports games can be addictive, especially for teenagers and college students.

In situ coupling of Ag nanoparticles with high-entropy oxides as highly stable bifunctional catalysts for wearable Zn-Ag/Zn-air hybrid batteries.

With the combination of the advantages of both Zn-Ag and Zn-air batteries, hybrid Zn-Ag/Zn-air batteries nevertheless suffer greatly from structural instability and activity degradation of the catalysts at the air electrodes. Herein, we introduce a scalable chemical dealloying procedure to synthesize mutually interacting and stable bifunctional catalysts, consisting of imbedded Ag nanoparticles for the oxygen reduction reaction (ORR) and quantitatively designed multicomponent high-entropy oxides (HEOs) for the oxygen evolution reaction (OER). The ORR performance and the Zn-Ag battery capacity can be precisely controlled by the content of Ag nanoparticles. Impressively, with a significantly low Ag content (∼9.13 wt%) in the bifunctional (AlNiCoFeCr)3O4/Ag, our hybrid Zn-Ag/Zn-air batteries using such catalysts are able to be continuously charged/discharged for more than 450 h and deliver a high energy density of 810 W h kg-1. We expect that these stabilized noble metals in HEO nanocomposites may work as multifunctional electrocatalysts in many other energy conversion devices.

Real-time medical phase recognition using long-term video understanding and progress gate method.

We introduce a real-time system for recognizing five phases of the trauma resuscitation process, the initial management of injured patients in the emergency department. We used depth videos as input to preserve the privacy of the patients and providers. The depth videos were recorded using a Kinect-v2 mounted on the sidewall of the room. Our dataset consisted of 183 depth videos of trauma resuscitations. The model was trained on 150 cases with more than 30 minutes each and tested on the remaining 33 cases. We introduced a reduced long-term operation (RLO) method for extracting features from long segments of video and combined it with the regular model having short-term information only. The model with RLO outperformed the regular short-term model by 5% using the accuracy score. We also introduced a progress gate (PG) method to distinguish visually similar phases using video progress. The final system achieved 91% accuracy and significantly outperformed previous systems for phase recognition in this setting.

Anxiety and depression in school-age patients with spinal muscular atrophy: a cross-sectional study.

BACKGROUND: Spinal muscular atrophy (SMA) is a rare neurogenetic disease which involves multisystem dysfunctions such as respiratory, digestive, and motor disorders. Anxiety, depression and other psychological disorders often accompany severe chronic physical diseases. The aim of this study was to investigate the prevalence of anxiety and depression along with their influencing factors among school-age patients with SMA. METHODS: We conducted a cross-sectional study on school-age SMA patients in China. Patients aged 8-18 years with a genetic diagnosis of 5qSMA were invited to answer a questionnaire composed of sociodemographic and clinical questions, then to complete the Screen for Child Anxiety-Related Emotional Disorders and Depression Self-Rating Scale for depression and anxiety level evaluation. At the end of the questionnaire, further questions assessed the subjective anxiety and subjective depression of patients' caregivers and their expectations for their child's future. RESULTS: Complete data were available for 155 patients. The sample included 45.8% boys and 54.2% girls; 65.2% were type II, 27.1% were type III, and the remainder were type I SMA. Rates of anxiety and depression in these school-age SMA patients were 40.0% and 25.2%, respectively. Gender, age, and disease type were not associated with anxiety or depression, but respiratory system dysfunction, digestive system dysfunction, skeletal deformity, rehabilitation exercise, academic delay, specialized support from school, household income level, caregivers' subjective anxiety, and caregivers' expectations were significantly related to both anxiety and depression. CONCLUSIONS: There was a high prevalence of anxiety and depression in school-age SMA patients in China. Professional psychological care maybe included in the standard of care. These results also call for possible targets for intervention such as reducing complications, improving drug accessibility, retaining normal schooling, strengthening school support, and enhancing the ability of the caregivers of SMA patients to assist in the diagnosis and treatment of the disease, so improving the mental health of SMA patients.

Strawberry Proteome Responses to Controlled Hot and Cold Stress Partly Mimic Post-harvest Storage Temperature Effects on Fruit Quality.

To determine the effect of different temperature on strawberry after harvest, physiological indicator analysis and proteomics analysis were conducted on ripened strawberry ("Sweet Charlie") fruit stored at 4, 23, and 37°C for 10 or 20 days. Results showed that 4°C maintained a better visual quality of strawberry, and the weight loss and firmness remained stable within 3 days. Low temperature negatively affected anthocyanin but positively affected soluble sugars. Though anthocyanin content was higher with increasing temperature, anthocyanin synthesis related proteins were downregulated. Higher indole-acetic acid (IAA) content in seeds and lower abscisic acid (ABA) content were found in berry at 4°C. Antioxidant related proteins were upregulated during storage, showing a significant up-regulation of peroxidase (POD) at 4°C, and ascorbate-glutathione (AsA-GSH) cycle related proteins and heat shock proteins (HSPs) at 37°C. In addition, overexpressed sugar phosphate/phosphate translocator, 1-aminocyclopropane-1-carboxylate oxidase, and aquaporin PIP2-2 had a positive effect in response to low temperature stress for containing higher protopectin content and POD activity.

VidTr: Video Transformer Without Convolutions.

We introduce Video Transformer (VidTr) with separable-attention for video classification. Comparing with commonly used 3D networks, VidTr is able to aggregate spatio-temporal information via stacked attentions and provide better performance with higher efficiency. We first introduce the vanilla video transformer and show that transformer module is able to perform spatio-temporal modeling from raw pixels, but with heavy memory usage. We then present VidTr which reduces the memory cost by 3.3× while keeping the same performance. To further optimize the model, we propose the standard deviation based topK pooling for attention (pooltopK_std), which reduces the computation by dropping non-informative features along temporal dimension. VidTr achieves state-of-the-art performance on five commonly used datasets with lower computational requirement, showing both the efficiency and effectiveness of our design. Finally, error analysis and visualization show that VidTr is especially good at predicting actions that require long-term temporal reasoning.

Multi-Label Activity Recognition using Activity-specific Features and Activity Correlations.

Multi-label activity recognition is designed for recognizing multiple activities that are performed simultaneously or sequentially in each video. Most recent activity recognition networks focus on single-activities, that assume only one activity in each video. These networks extract shared features for all the activities, which are not designed for multi-label activities. We introduce an approach to multi-label activity recognition that extracts independent feature descriptors for each activity and learns activity correlations. This structure can be trained end-to-end and plugged into any existing network structures for video classification. Our method outperformed state-of-the-art approaches on four multi-label activity recognition datasets. To better understand the activity-specific features that the system generated, we visualized these activity-specific features in the Charades dataset. The code will be released later.

Mutations in the Antibiotic Target Genes Related to Clarithromycin, Metronidazole and Levofloxacin Resistance in Helicobacter pylori Strains from Children in China.

PURPOSE: This study aimed to characterize common mutations of antibiotic-resistant gene of clarithromycin, metronidazole and levofloxacin in Helicobacter pylori (H. pylori) and determine their association with antibiotic resistance of H. pylori for providing a strategy for eradication therapy of H. pylori infection in children. PATIENTS AND METHODS: The antibiotic resistance to clarithromycin, metronidazole and levofloxacin for H. pylori strains isolated from children was determined by E-test. The mutation of domain V of 23S rRNA, rdxA and frxA genes, gyrA and gyrB genes was performed by PCR-based sequencing of DNA fragments. RESULTS: Out of the 79 H. pylori strains examined, 66 (83.5%) were resistant to at least one of the tested antibiotics and 13 (16.5%) were fully sensitive. A total of 29 (36.7%) strains were resistant to clarithromycin. Analysis of the 23S rRNA gene showed that most mutations occurred at the A2143G and T2182C sites, showing a frequency of 82.8% (24/29) and 89.7% (26/29) respectively. In the 11 sensitive strains to clarithromycin, the frequency of A2143G mutation was only 45.5%, which was significantly lower than that in resistant strains (P<0.05). There were 54 strains (68.4%) resistant to metronidazole, with most mutations occurring at G47A and T184G in the rdxA gene. T184G mutation was recognized in metronidazole-sensitive strains, but no G47A mutation was identified. Twelve strains (15.2%) were resistant to levofloxacin. Position 91 mutation of the gyrA gene occurred only in resistant strains, whereas position 87 mutations were detected in both sensitive and resistant strains to levofloxacin. CONCLUSION: In H. pylori resistant strains isolated from children in China, most mutations occurred at A2143G of the 23S rRNA gene for clarithromycin; G47A mutation of rdxA gene for metronidazole; and at 91 mutation of gyrA gene for levofloxacin. It is suggested that susceptibility testing together with screening the mutation of antimicrobial-resistant gene prior to treatment is important for the eradication of H. pylori in children.

Video-based Concurrent Activity Recognition for Trauma Resuscitation.

We introduce a video-based system for concurrent activity recognition during teamwork in a clinical setting. During system development, we preserved patient and provider privacy by pre-computing spatio-temporal features. We extended the inflated 3D ConvNet (i3D) model for concurrent activity recognition. For the model training, we tuned the weights of the final stages of i3D using back-propagated loss from the fully-connected layer. We applied filtering on the model predictions to remove noisy predictions. We evaluated the system on five activities performed during trauma resuscitation, the initial management of injured patients in the emergency department. Our system achieved an average value of 74% average precision (AP) for these five activities and outperformed previous systems designed for the same domain. We visualized feature maps from the model, showing that the system learned to focus on regions relevant to performance of each activity.

Detection and segmentation of multi-class artifacts in endoscopy.

Endoscopy may be used for early screening of various cancers, such as nasopharyngeal cancer, esophageal adenocarcinoma, gastric cancer, colorectal cancer, and bladder cancer, and performing minimal invasive surgical procedures, such as laparoscopy surgery. During this procedure, an endoscope is used; it is a long, thin, rigid, or flexible tube having a light source and a camera at the tip, which facilitates visualization inside the affected organs on a screen and helps doctors in diagnosis.

Blood Levels of Trace Elements in Children with Attention-Deficit Hyperactivity Disorder: Results from a Case-Control Study.

Some trace elements may participate in the pathogenesis of attention-deficit hyperactivity disorder (ADHD). This study aimed to investigate the trace element status of zinc (Zn), copper (Cu), iron (Fe), magnesium (Mg), and lead (Pb) in children with ADHD, and to compare them with normal controls. Associations between examined elements and SNAP-IV rating scores of ADHD symptoms were also assessed. Four hundred nineteen children with ADHD (8.8 ± 2.1 years) and 395 matched normal controls (8.9 ± 1.7 years) were recruited in the study. The concentrations of Zn, Fe, Cu, Mg, and Pb in the whole blood were measured by atomic absorption spectrometry. Lower zinc levels (P < 0.001) and the number out of normal ranges (P = 0.015) were found in children with ADHD when compared with the normal control group. The difference remained when adjusting the factor of BMI z-score. No significant between-group differences were found in levels of other elements. Zinc levels were negatively correlated with parent-rated scores of inattentive subscale of SNAP-IV (r = - 0.40) as well as with total score of SNAP-IV (r = - 0.24). Other significant associations were not observed. The present results indicated that there were alterations in blood levels of zinc, which was associated with the symptom scores of ADHD.

Are platelet volume indices related to mortality in hospitalized children on mechanical ventilation?

Objectives To investigate platelet volume indices and in-hospital mortality in children on mechanical ventilation. Methods This retrospective study included children aged <16 years on mechanical ventilation, and compared parameters, measured on admission, between survivors and non-survivors. Dynamic platelet volume indices over the first 7 days were visualized. Independent risk factors of mortality were identified using multivariate logistic regression analysis. Results Out of 2 319 children aged 28 days-3 years, serum albumin (odds ratio [OR] 0.9, 95% confidence interval [CI] 0.85, 0.96), bilirubin (OR 1.01, 95% CI 1.0, 1.77), and lactic acid (OR 1.22, 95% CI 1.05, 1.38) levels were associated with mortality. Out of 2 415 children aged > 3 years, procalcitonin (OR 1.01, 95% CI 1.0, 1.01) and lactic acid (OR 1.22, 95% CI 1.09, 1.35) were associated with mortality. Platelet volume indices on admission were not independently associated with mortality in either group. Mean platelet volume (MPV) and platelet distribution width (PDW) showed different trends in non-survivors versus survivors over 1 week in both age groups. Conclusions Platelet volume indices may be associated with mortality in critically ill children receiving mechanical ventilation.