Glucocorticoids for croup in children.

BACKGROUND: Glucocorticoids are the mainstay for the treatment of croup. The existing evidence demonstrates that glucocorticoids are effective in the treatment of croup in children. However, updating the evidence on their clinical relevance in croup is imperative. This is an update to a review first published in 1999, and updated in 2004, 2011, and 2018. OBJECTIVES: To investigate the effects and safety of glucocorticoids in the treatment of croup in children aged 18 years and below. SEARCH METHODS: We searched the Cochrane Library, which includes the Cochrane Central Register of Controlled Trials (CENTRAL; 2022 Issue 9), Ovid MEDLINE Epub Ahead of Print, In-Process & Other Non-Indexed Citations and Ovid MEDLINE (1946 to 4 March 2022), Embase (Ovid) (1974 to 4 March 2022). We also searched the WHO ICTRP and ClinicalTrials.gov on 4 March 2022. SELECTION CRITERIA: We included randomised controlled trials (RCTs) in children (aged 18 years and below) with croup. We assessed the effect of glucocorticoids compared to the following: placebo, any other pharmacologic agents, any other glucocorticoids, any combination of other glucocorticoids, given by different modes of administration, or given in different doses. The included studies must have assessed at least one of our primary outcomes (defined as the change in croup score or return visits, (re)admissions to the hospital or both) or secondary outcomes (defined as the length of stay in hospital or emergency departments, patient improvement, use of additional treatments, or adverse events). DATA COLLECTION AND ANALYSIS: Review authors independently extracted data, with another review author verified. We entered the data into Review Manager 5 for meta-analysis. Two review authors independently assessed studies for risk of bias using the Cochrane risk of bias tool. Two review authors assessed the certainty of the evidence for the primary outcomes using the GRADE approach. MAIN RESULTS: This updated review includes 45 RCTs with a total of 5888 children, an increase of two RCTs with 1323 children since the last update. We also identified one ongoing study and one study awaiting classification. We assessed most studies (98%) as at high or unclear risk of bias.  Any glucocorticoid compared to placebo  Compared to placebo, glucocorticoids may result in greater reductions in croup score after two hours (standardised mean difference (SMD) -0.65, 95% confidence interval (CI) -1.13 to -0.18; 7 RCTs, 426 children; low-certainty evidence); six hours (SMD -0.76, 95% CI -1.12 to -0.40; 11 RCTs, 959 children; low-certainty evidence); and 12 hours (SMD -1.03, 95% CI -1.53 to -0.53; 8 RCTs, 571 children; low-certainty evidence). The evidence for change in croup score after 24 hours is very uncertain (SMD -0.86, 95% CI -1.40 to -0.31; 8 RCTs, 351 children; very low-certainty evidence).  One glucocorticoid compared to another glucocorticoid There was little to no difference between prednisolone and dexamethasone for reduction in croup score at two-hour post-baseline score (SMD 0.06, 95% CI -0.06 to 0.18; 1 RCT, 1231 children; high-certainty evidence). There was likely little to no difference between prednisolone and dexamethasone for reduction in croup score at six-hour post-baseline score (SMD 0.21, 95% CI -0.21 to 0.62; 1 RCT, 99 children; moderate-certainty evidence). However, dexamethasone probably reduced the return visits or (re)admissions for croup by almost half (risk ratio (RR) 0.55, 95% CI 0.28 to 1.11; 4 RCTs, 1537 children; moderate-certainty evidence), and showed a 28% reduction in the use of supplemental glucocorticoids as an additional treatment (RR 0.72, 95% CI 0.53 to 0.97; 2 RCTs, 926 children).  Dexamethasone given in different doses Compared to 0.15 mg/kg, 0.60 mg/kg dexamethasone probably reduced the severity of croup as assessed by the croup scoring scale at 24-hour postbaseline score (SMD 0.63, 95% CI 0.16 to 1.10; 1 RCT, 72 children; moderate-certainty evidence); however, this was not the case at two hours (SMD -0.27, 95% CI -0.76 to 0.22; 2 RCTs, 861 children; high-certainty evidence). There was probably no reduction at six hours (SMD -0.45, 95% CI -1.26 to 0.35; 3 RCTs, 178 children; moderate-certainty evidence), and the evidence at 12 hours is very uncertain (SMD -0.60, 95% CI -4.39 to 3.19; 2 RCTs, 113 children; very low-certainty evidence). There was little to no difference between doses of dexamethasone in return visits or (re)admissions of children or both (RR 0.91, 95% CI 0.71 to 1.17; 3 RCTs, 949 children; high-certainty evidence) or length of stay in the hospital or emergency department (mean difference 0.12, 95% CI -0.32 to 0.56; 2 RCTs, 892 children). The need for additional treatments, such as epinephrine (RR 0.78, 95% CI 0.34 to 1.75; 2 RCTs, 885 children); intubation (risk difference 0.00, 95% CI -0.00 to 0.00; 2 RCTs, 861 children); or use of supplemental glucocorticoids (RR 0.77, 95% CI 0.51 to 1.15; 2 RCTs, 617 children), also did not differ between doses of dexamethasone.  There were moderate to high levels of heterogeneity in the analyses for most comparisons. Adverse events were observed for some of the comparisons reported in the review. AUTHORS' CONCLUSIONS: The evidence that glucocorticoids reduce symptoms of croup at two hours, shorten hospital stays, and reduce the rate of return visits or (re)admissions has not changed in this update. A smaller dose of 0.15 mg/kg of dexamethasone may be as effective as the standard dose of 0.60 mg/kg. More RCTs are needed to strengthen the evidence for effectiveness of low-dose dexamethasone at 0.15 mg/kg to treat croup.

Holistic multitask regression network for multiapplication shape regression segmentation.

A holistic multitask regression approach was implemented to tackle the limitations of clinical image analysis. Standard practice requires identifying multiple anatomic structures in multiple planes from multiple anatomic regions using multiple modalities. The proposed novel holistic multitask regression network (HMR-Net) formulates organ segmentation as a multitask learning problem. Multitask learning leverages the strength of joint task problem solving from capturing task correlations. HMR-Net performs multitask regression by estimating an organ's class, regional location, and precise contour coordinates. The estimation of each coordinate point also corresponds to another regression task. HMR-Net leverages hierarchical multiscale and fused organ features to handle nonlinear relationships between image appearance and distinct organ properties. Simultaneously, holistic shape information is captured by encoding coordinate correlations. The multitask pipeline enables the capturing of holistic organ information (e.g. class, location, shape) to perform shape regression for medical image segmentation. HMR-Net was validated on eight representative datasets obtained from a total of 222 subjects. A mean average precision and dice score reaching up to 0.81 and 0.93, respectively, was achieved on the representative multiapplication database. The generalized model demonstrates comparable or superior performance compared to state-of-the-art algorithms. The high-performance accuracy demonstrates our model as an effective general framework to perform organ shape regression in multiple applications. This method was proven to provide high-contrast sensitivity to delineate even the smallest and oddly shaped organs. HMR-Net's flexible framework holds great potential in providing a fully automatic preliminary analysis for multiple types of medical images.