PURPOSE: Infants at neonatal intensive care units (NICU) are invariably exposed to various procedural and environmental stimuli. The study was performed to compare the pain responses in three NICU stimulants and to examine the clinical feasibility for NICU infants using CRIES, FLACC and PIPP. METHOD: In a correlational study, a total of 94 NICU stimulants including angio-catheter insertions, trunk-rubbings and loud noises, was observed for pain responses among 64 infants using CRIES, FLACC and PIPP. RESULTS: A significant difference was identified among the mean scores in CRIES(F(2, 91)=47.847, p=.000), FLACC(F(2, 91)=41.249, p=.000) and PIPP(F(2, 91)=16.272, p=.000) to three stimulants. In a Post-hoc Scheff test, an angio-catheter insertion showed the highest scores in CRIES, FLACC and PIPP compared to the other two stimulations. A strong correlation was identified between CRIES and FLACC in all three stimulations(.817 < r < .945) while inconsistent findings were identified between PIPP and CRIES or FLACC. CONCLUSIONS: The results of the study support that CRIES and FLACC are reliable and clinically suitable pain measurements for NICU infants. Further studies are needed in data collection time-point as well as clinical feasibility on PIPP administration to assess pain response in infants, including premature infants.
Pain Measurement/*methods ; Male ; *Intensive Care Units, Neonatal ; *Infant, Newborn ; Infant Behavior ; Humans ; Female

Systematic reviews and meta-analyses present results by combining and analyzing data from different studies conducted on similar research topics. In recent years, systematic reviews and meta-analyses have been actively performed in various fields including anesthesiology. These research methods are powerful tools that can overcome the difficulties in performing large-scale randomized controlled trials. However, the inclusion of studies with any biases or improperly assessed quality of evidence in systematic reviews and meta-analyses could yield misleading results. Therefore, various guidelines have been suggested for conducting systematic reviews and meta-analyses to help standardize them and improve their quality. Nonetheless, accepting the conclusions of many studies without understanding the meta-analysis can be dangerous. Therefore, this article provides an easy introduction to clinicians on performing and understanding meta-analyses.
Anesthesiology ; Bias (Epidemiology)

Most diseases have more than two interventions or treatment methods, and the application of network meta-analysis (NMA) studies to compare and evaluate the superiority of each intervention or treatment method is increasing. Understanding the concepts and processes of systematic reviews and meta-analyses is essential to understanding NMA. As with systematic reviews and meta-analyses, NMA involves specifying the topic, searching for and selecting all related studies, and extracting data from the selected studies. To evaluate the effects of each treatment, NMA compares and analyzes three or more interventions or treatment methods using both direct and indirect evidence. There is a possibility of several biases when performing NMA. Therefore, key assumptions like similarity, transitivity, and consistency should be satisfied when performing NMA. Among these key assumptions, consistency can be evaluated and quantified by statistical tests. This review aims to introduce the concepts of NMA, analysis methods, and interpretation and presentation of the results of NMA. It also briefly introduces the emerging issues in NMA, including methods for evaluation of consistency.

Most diseases have more than two interventions or treatment methods, and the application of network meta-analysis (NMA) studies to compare and evaluate the superiority of each intervention or treatment method is increasing. Understanding the concepts and processes of systematic reviews and meta-analyses is essential to understanding NMA. As with systematic reviews and meta-analyses, NMA involves specifying the topic, searching for and selecting all related studies, and extracting data from the selected studies. To evaluate the effects of each treatment, NMA compares and analyzes three or more interventions or treatment methods using both direct and indirect evidence. There is a possibility of several biases when performing NMA. Therefore, key assumptions like similarity, transitivity, and consistency should be satisfied when performing NMA. Among these key assumptions, consistency can be evaluated and quantified by statistical tests. This review aims to introduce the concepts of NMA, analysis methods, and interpretation and presentation of the results of NMA. It also briefly introduces the emerging issues in NMA, including methods for evaluation of consistency.

Randomized controlled trials (RCTs) are considered the most rigorous study design for testing hypotheses and the gold standard for evaluating intervention effectiveness. However, RCTs are often conducted under the assumption of ideal conditions that may differ from real-world scenarios in which various issues, such as loss to follow-up, mistakes in participant enrollment or intervention, and low subject compliance or adherence, may occur. There are various group-defining strategies for analyzing RCT data, including the intention-to-treat (ITT), as-treated, and per-protocol (PP) approaches. The ITT principle involves analyzing all participants according to their initial group assignments, regardless of study completion and compliance or adherence to treatment protocols. This approach aims to replicate real-world clinical settings in which several anticipated or unexpected conditions may occur with regard to the study protocol. For the PP approach, only participants who meet the inclusion criteria, complete the interventions according to the study protocols, and have primary outcome data available are included. This approach aims to confirm treatment effects under optimal conditions. In general, the ITT principle is preferred for superiority and inequality trials, whereas the PP approach is preferred for equivalence and non-inferiority trials. However, both analytical approaches should be conducted and their results compared to determine whether significant differences exist. Overall, using both the ITT and PP approaches can provide a more complete picture of the treatment effects and ensure the reliability of the trial results.

PURPOSE: The aim of this study was to investigate whether plasma angiopoietin-1 (Ang-1) and angiopoietin-2 (Ang-2) concentrations in pregnant women with chronic hypertension are different from those of normotensive pregnant women. METHODS: This hospital-based case-control study consisted of 35 pregnant women with chronic hypertension who delivered at Seoul National University Hospital. Normotensive pregnant women (n=70) were selected as controls, matched with maternal age, gestational age at delivery and birthweight. Maternal blood was drawn at the time of admission for delivery and plasma was separated and stored. The plasma Ang-1 and Ang-2 levels were measured by ELISA. Statistical analysis was done with Mann-Whitney U test, Fisher's exact test and Spearman rank correlation test using SPSS. RESULTS: Median (range) maternal age, gestational age and birthweight were 33 years (24-42), 38 weeks (32-41), and 3.08 kg (1.13-4.01). Pregnant women with chronic hypertension had significantly higher median Ang-1 and Ang-2 levels than normotensive pregnant women (for Ang-1 : median 4,111 pg/mL, range 1,415-30,172 vs. median 2,824 pg/mL range 662-14,512, P=0.015, for Ang-2 : median 5,637 pg/mL, range 1,131-29,327 vs. median 3,345 pg/mL, range 609-24,467, P=0.039). CONCLUSION: Maternal plasma Ang-1 and Ang-2 levels were elevated in pregnant women with chronic hypertension compared with normotensive pregnant women. Further study is needed to determine if this change is a cause or a compensatory mechanism to chronic hypertension.
Angiopoietin-1* ; Angiopoietin-2* ; Case-Control Studies ; Enzyme-Linked Immunosorbent Assay ; Female ; Gestational Age ; Humans ; Hypertension* ; Maternal Age ; Plasma* ; Pregnant Women* ; Seoul

OBJECTIVE: Hyperprolactinemia is common side effect associated with antipsychotics use. Nevertheless, hyperprolactinemia is relatively neglected by clinician. Especially, there is no study related to amisulpride-induced hyperprolactinemia in korea. This study aimed to determine whether amisulpride can be induced hyperprolactinemia in Korean psychiatric patients. METHODS: This study methodology consisted of a retrospective review of medical charts and prolactin levels. Serum prolactin levels were measured in 24 Korean patients(12 males and 12 females) with psychosis who were treated over 400mg of amisulpride per day. RESULTS: All patients had hyperprolactinemia. Prolactin levels significantly increased after receiving amisulpride(z=-3.702, p=0.000). The prolactin level was significantly higher in females(156.29+/-63.75ng/mL) than in males(69.04+/-39.91ng/mL) after administering amisulpride(p=0.000). There was a correlation between dosage and prolactin levels(r=0.61, p=0.002). However, there was no correlation between duration of treatment and prolactin levels. CONCLUSIONS: Antipsychotics, especially amisulpride can increase serum prolactin levels and may results in short and long term side effects. Routine clinical assessment of initial and additional prolactin level and associated symptoms should be done.
Antipsychotic Agents ; Humans ; Hyperprolactinemia ; Korea ; Male ; Prolactin ; Psychotic Disorders ; Retrospective Studies ; Sulpiride

Background: Hematopoietic stem/progenitor cells (HSPCs) have the property to return to the bone marrow, which is believed to be critical in situations such as HSPC transplantation. This property plays an important role in the stemness, viability, and proliferation of HSPCs, also. However, most in vitro models so far have not sufficiently simulated the complicate environment. Here, we proposed a three-dimensional experimental platform for the quantitative study of the migration of HSPCs. Methods: After encapsulating osteoblasts (OBs) in alginate beads, we quantified the migration of HSPCs into the beads due to the physical environment using digital image processing. Intermittent hydrostatic pressure (IHP) was used to mimic the mechanical environment of human bone marrow without using any biochemical factors. The expression of stromal cell-derived factor 1 (SDF-1) under IHP was measured. Results: The results showed that the presence of OBs in the hydrogel scaffold initiate the movement of HSPCs. Furthermore, the IHP promotes the migration of HSPCs, even without the addition of any biochemical factors, and the results were confirmed by measuring SDF-1 levels. Conclusion We believe this suggested three-dimensional experimental platform consisting of a simulated in vivo physical environment and encapsulated OBs should contribute to in vitro migration studies used to investigate the effects of other external factors.

Background: Hematopoietic stem/progenitor cells (HSPCs) have the property to return to the bone marrow, which is believed to be critical in situations such as HSPC transplantation. This property plays an important role in the stemness, viability, and proliferation of HSPCs, also. However, most in vitro models so far have not sufficiently simulated the complicate environment. Here, we proposed a three-dimensional experimental platform for the quantitative study of the migration of HSPCs. Methods: After encapsulating osteoblasts (OBs) in alginate beads, we quantified the migration of HSPCs into the beads due to the physical environment using digital image processing. Intermittent hydrostatic pressure (IHP) was used to mimic the mechanical environment of human bone marrow without using any biochemical factors. The expression of stromal cell-derived factor 1 (SDF-1) under IHP was measured. Results: The results showed that the presence of OBs in the hydrogel scaffold initiate the movement of HSPCs. Furthermore, the IHP promotes the migration of HSPCs, even without the addition of any biochemical factors, and the results were confirmed by measuring SDF-1 levels. Conclusion We believe this suggested three-dimensional experimental platform consisting of a simulated in vivo physical environment and encapsulated OBs should contribute to in vitro migration studies used to investigate the effects of other external factors.

Recently, neuromelanin and nigrosome imaging techniques have been developed to evaluate the substantia nigra in Parkinson’s disease. Previous studies have shown potential benefits of quantitative analysis of neuromelanin and nigrosome images in the substantia nigra, although visual assessments have been performed to evaluate structures in most studies. In this study, we investigate the potential of using deep learning based automatic region segmentation techniques for quantitative analysis of the substantia nigra. The deep convolutional neural network was trained to automatically segment substantia nigra regions on 3D nigrosome and neuromelanin sensitive MR images obtained from 30 subjects. With a 5-fold cross-validation, the mean calculated dice similarity coefficient between manual and deep learning was 0.70 ± 0.11. Although calculated dice similarity coefficients were relatively low due to empirically drawn margins, selected slices were overlapped for more than two slices of all subjects. Our results demonstrate that deep convolutional neural network-based method could provide reliable localization of substantia nigra regions on neuromelanin and nigrosome sensitive MR images.