Objective: This study aimed to evaluate the utility of the Korean version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT) in hospital settings and to identify items sensitive for detecting autism spectrum disorder (ASD) trait. Methods: The Q-CHAT was administered to a clinical sample of children presenting with developmental delays with a high probability of ASD in a hospital setting (n=37), as well as to typically developing community children (n=67), aged 12 to 54 months. Results: The mean Q-CHAT total score in the hospital sample (42.0±13.6) was significantly higher than in the community sample (29.9±7.8), with maximized sensitivity and adequate specificity at 32.5 (sensitivity=0.811, specificity=0.687). The internal consistency of Q-CHAT was 0.764 for the overall sample and 0.825 for the hospital sample. Q-CHAT total scores and item scores in the hospital sample remained stable across age groups, indicating age-invariant properties. The hospital sample showed higher endorsement of less favorable development in social interaction and reciprocity items compared to community sample. No difference in the Q-CHAT item scores was present among age groups in the hospital samples. In the community samples, item scores, such as comprehending a child’s speech, using the hand of others as a tool, adapting to a change in routine, repeating the same action, and making unusual finger movements, decreased with the advance of age. Conclusion The Korean version of the Q-CHAT demonstrates good validity and reliability and is effective in discriminating autistic traits even in children older than 24 months. The items endorsed for hospital samples varied from community samples, implying item-specific sensitivity for hospital samples.

Objective: This study aimed to evaluate the utility of the Korean version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT) in hospital settings and to identify items sensitive for detecting autism spectrum disorder (ASD) trait. Methods: The Q-CHAT was administered to a clinical sample of children presenting with developmental delays with a high probability of ASD in a hospital setting (n=37), as well as to typically developing community children (n=67), aged 12 to 54 months. Results: The mean Q-CHAT total score in the hospital sample (42.0±13.6) was significantly higher than in the community sample (29.9±7.8), with maximized sensitivity and adequate specificity at 32.5 (sensitivity=0.811, specificity=0.687). The internal consistency of Q-CHAT was 0.764 for the overall sample and 0.825 for the hospital sample. Q-CHAT total scores and item scores in the hospital sample remained stable across age groups, indicating age-invariant properties. The hospital sample showed higher endorsement of less favorable development in social interaction and reciprocity items compared to community sample. No difference in the Q-CHAT item scores was present among age groups in the hospital samples. In the community samples, item scores, such as comprehending a child’s speech, using the hand of others as a tool, adapting to a change in routine, repeating the same action, and making unusual finger movements, decreased with the advance of age. Conclusion The Korean version of the Q-CHAT demonstrates good validity and reliability and is effective in discriminating autistic traits even in children older than 24 months. The items endorsed for hospital samples varied from community samples, implying item-specific sensitivity for hospital samples.

Objective: This study aimed to evaluate the utility of the Korean version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT) in hospital settings and to identify items sensitive for detecting autism spectrum disorder (ASD) trait. Methods: The Q-CHAT was administered to a clinical sample of children presenting with developmental delays with a high probability of ASD in a hospital setting (n=37), as well as to typically developing community children (n=67), aged 12 to 54 months. Results: The mean Q-CHAT total score in the hospital sample (42.0±13.6) was significantly higher than in the community sample (29.9±7.8), with maximized sensitivity and adequate specificity at 32.5 (sensitivity=0.811, specificity=0.687). The internal consistency of Q-CHAT was 0.764 for the overall sample and 0.825 for the hospital sample. Q-CHAT total scores and item scores in the hospital sample remained stable across age groups, indicating age-invariant properties. The hospital sample showed higher endorsement of less favorable development in social interaction and reciprocity items compared to community sample. No difference in the Q-CHAT item scores was present among age groups in the hospital samples. In the community samples, item scores, such as comprehending a child’s speech, using the hand of others as a tool, adapting to a change in routine, repeating the same action, and making unusual finger movements, decreased with the advance of age. Conclusion The Korean version of the Q-CHAT demonstrates good validity and reliability and is effective in discriminating autistic traits even in children older than 24 months. The items endorsed for hospital samples varied from community samples, implying item-specific sensitivity for hospital samples.

Objective: This study aimed to evaluate the utility of the Korean version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT) in hospital settings and to identify items sensitive for detecting autism spectrum disorder (ASD) trait. Methods: The Q-CHAT was administered to a clinical sample of children presenting with developmental delays with a high probability of ASD in a hospital setting (n=37), as well as to typically developing community children (n=67), aged 12 to 54 months. Results: The mean Q-CHAT total score in the hospital sample (42.0±13.6) was significantly higher than in the community sample (29.9±7.8), with maximized sensitivity and adequate specificity at 32.5 (sensitivity=0.811, specificity=0.687). The internal consistency of Q-CHAT was 0.764 for the overall sample and 0.825 for the hospital sample. Q-CHAT total scores and item scores in the hospital sample remained stable across age groups, indicating age-invariant properties. The hospital sample showed higher endorsement of less favorable development in social interaction and reciprocity items compared to community sample. No difference in the Q-CHAT item scores was present among age groups in the hospital samples. In the community samples, item scores, such as comprehending a child’s speech, using the hand of others as a tool, adapting to a change in routine, repeating the same action, and making unusual finger movements, decreased with the advance of age. Conclusion The Korean version of the Q-CHAT demonstrates good validity and reliability and is effective in discriminating autistic traits even in children older than 24 months. The items endorsed for hospital samples varied from community samples, implying item-specific sensitivity for hospital samples.

Objective: This study aimed to evaluate the utility of the Korean version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT) in hospital settings and to identify items sensitive for detecting autism spectrum disorder (ASD) trait. Methods: The Q-CHAT was administered to a clinical sample of children presenting with developmental delays with a high probability of ASD in a hospital setting (n=37), as well as to typically developing community children (n=67), aged 12 to 54 months. Results: The mean Q-CHAT total score in the hospital sample (42.0±13.6) was significantly higher than in the community sample (29.9±7.8), with maximized sensitivity and adequate specificity at 32.5 (sensitivity=0.811, specificity=0.687). The internal consistency of Q-CHAT was 0.764 for the overall sample and 0.825 for the hospital sample. Q-CHAT total scores and item scores in the hospital sample remained stable across age groups, indicating age-invariant properties. The hospital sample showed higher endorsement of less favorable development in social interaction and reciprocity items compared to community sample. No difference in the Q-CHAT item scores was present among age groups in the hospital samples. In the community samples, item scores, such as comprehending a child’s speech, using the hand of others as a tool, adapting to a change in routine, repeating the same action, and making unusual finger movements, decreased with the advance of age. Conclusion The Korean version of the Q-CHAT demonstrates good validity and reliability and is effective in discriminating autistic traits even in children older than 24 months. The items endorsed for hospital samples varied from community samples, implying item-specific sensitivity for hospital samples.

Background: Hospital environments, particularly shared rooms, are vulnerable to the transmission of carbapenem-resistant Enterobacterales (CRE). The incidence of CRE colonization in the Korean homeless population remains unknown. This study aimed to analyze the impact of targeted active surveillance of CRE in hospital wards following two outbreaks. Methods: This retrospective study was conducted in a homeless ward with shared rooms at a municipal hospital in Seoul. The CRE incidence was calculated from October 1, 2023, to May 31, 2024. Active surveillance was initiated on January 22, 2024. Poisson regression analysis was used to compare CRE incidence events at three months before and four months after the intervention. The risk factors for CRE colonization were also analyzed. Results: The CRE colonization rate decreased from 1.149 to 0.815 per 1,000 patient-days post-intervention; however, the change was not statistically significant (rate ratio: 0.986, 95% confidence interval (95% CI): 0.389-2.496, P=0.976). In contrast to the secondary cases, one acquired CRE case was detected after the intervention without an outbreak. The CRE colonization rate was higher in the homeless ward than in the general ward. CRE colonization was significantly associated with age (adjusted odds ratio (aOR), 1.071; 95% CI: 1.014-1.132;P=0.014), previous antibiotic exposure (aOR, 6.796; 95% CI: 1.215-38.029; P=0.029), and co-colonization with other multidrug resistant bacteria (aOR, 7.168; 95% CI: 2.224-23.096;P=0.001). Conclusion A relatively high incidence of CRE colonization was observed in the homeless ward. After active surveillance, no CRE outbreaks occurred following the implementation.

Hereditary hemolytic anemia (HHA) is considered a group of rare hematological diseases in Korea, primarily because of its unique ethnic characteristics and diagnostic challenges.Recently, the prevalence of HHA has increased in Korea, reflecting the increasing number of international marriages and increased awareness of the disease. In particular, the diagnosis of red blood cell (RBC) enzymopathy experienced a resurgence, given the advances in diagnostic techniques. In 2007, the RBC Disorder Working Party of the Korean Society of Hematology developed the Korean Standard Operating Procedure for the Diagnosis of Hereditary Hemolytic Anemia, which has been continuously updated since then. The latest Korean clinical practice guidelines for diagnosing HHA recommends performing nextgeneration sequencing as a preliminary step before analyzing RBC membrane proteins and enzymes. Recent breakthroughs in molecular genetic testing methods, particularly nextgeneration sequencing, are proving critical in identifying and providing insight into cases of HHA with previously unknown diagnoses. These innovative molecular genetic testing methods have now become important tools for the management and care planning of patients with HHA. This review aims to provide a comprehensive overview of recent advances in molecular genetic testing for the diagnosis of HHA, with particular emphasis on the Korean context.

Background: Hospital environments, particularly shared rooms, are vulnerable to the transmission of carbapenem-resistant Enterobacterales (CRE). The incidence of CRE colonization in the Korean homeless population remains unknown. This study aimed to analyze the impact of targeted active surveillance of CRE in hospital wards following two outbreaks. Methods: This retrospective study was conducted in a homeless ward with shared rooms at a municipal hospital in Seoul. The CRE incidence was calculated from October 1, 2023, to May 31, 2024. Active surveillance was initiated on January 22, 2024. Poisson regression analysis was used to compare CRE incidence events at three months before and four months after the intervention. The risk factors for CRE colonization were also analyzed. Results: The CRE colonization rate decreased from 1.149 to 0.815 per 1,000 patient-days post-intervention; however, the change was not statistically significant (rate ratio: 0.986, 95% confidence interval (95% CI): 0.389-2.496, P=0.976). In contrast to the secondary cases, one acquired CRE case was detected after the intervention without an outbreak. The CRE colonization rate was higher in the homeless ward than in the general ward. CRE colonization was significantly associated with age (adjusted odds ratio (aOR), 1.071; 95% CI: 1.014-1.132;P=0.014), previous antibiotic exposure (aOR, 6.796; 95% CI: 1.215-38.029; P=0.029), and co-colonization with other multidrug resistant bacteria (aOR, 7.168; 95% CI: 2.224-23.096;P=0.001). Conclusion A relatively high incidence of CRE colonization was observed in the homeless ward. After active surveillance, no CRE outbreaks occurred following the implementation.

Background: Hospital environments, particularly shared rooms, are vulnerable to the transmission of carbapenem-resistant Enterobacterales (CRE). The incidence of CRE colonization in the Korean homeless population remains unknown. This study aimed to analyze the impact of targeted active surveillance of CRE in hospital wards following two outbreaks. Methods: This retrospective study was conducted in a homeless ward with shared rooms at a municipal hospital in Seoul. The CRE incidence was calculated from October 1, 2023, to May 31, 2024. Active surveillance was initiated on January 22, 2024. Poisson regression analysis was used to compare CRE incidence events at three months before and four months after the intervention. The risk factors for CRE colonization were also analyzed. Results: The CRE colonization rate decreased from 1.149 to 0.815 per 1,000 patient-days post-intervention; however, the change was not statistically significant (rate ratio: 0.986, 95% confidence interval (95% CI): 0.389-2.496, P=0.976). In contrast to the secondary cases, one acquired CRE case was detected after the intervention without an outbreak. The CRE colonization rate was higher in the homeless ward than in the general ward. CRE colonization was significantly associated with age (adjusted odds ratio (aOR), 1.071; 95% CI: 1.014-1.132;P=0.014), previous antibiotic exposure (aOR, 6.796; 95% CI: 1.215-38.029; P=0.029), and co-colonization with other multidrug resistant bacteria (aOR, 7.168; 95% CI: 2.224-23.096;P=0.001). Conclusion A relatively high incidence of CRE colonization was observed in the homeless ward. After active surveillance, no CRE outbreaks occurred following the implementation.