In disaster response, smartphone applications (or apps) are being used by the layperson, emergency first responders, and health care providers to aid in everything from incident reporting to clinical decision making. However, quality apps are often diluted by the overwhelming number of apps that exist for both the lay public and first responders in the Apple iTunes (Apple Inc.; Cupertino, California USA) and Google Play (Google LLC; Mountain View, California USA) stores.

A systematic review of disaster response apps was originally completed in 2015; a follow-up review was completed here to evaluate trends and explore novel apps.

A search of the Apple iTunes and Google Play stores was performed using the following terms obtained from PubMed (National Center for Biotechnology Information; Bethesda, Maryland USA) Medical Subject Headings Database: Emergency Preparedness; Emergency Responders; Disaster; Disaster Planning; Disaster Medicine; Bioterrorism; Chemical Terrorism; Hazardous Materials; and the Federal Emergency Management Agency (FEMA [Washington, DC USA]). After excluding any unrelated apps, a working list of apps was formed and categorized based on topics. Apps were categorized by intended user (first responders or the public) and sub-categorized by topic for discussion. Sub-categories included News/Information, Reference/Education, Weather/Natural Disasters, Travel/Navigation, and Communication/Reunification.

A search of the Apple iTunes store revealed 394 unique apps and was narrowed to 342 based on relevance to the field and availability on the iPhone. A search of the Google Play store yielded 645 unique applications and was narrowed to 634 based on relevance. Of note, 49 apps appeared in both app stores using the search terms. An aggregate 927 apps from the Apple iTunes and Google Play stores were then critically reviewed by the authors. Apps were sub-categorized based on intended audience, layperson or first responder, and sorted into one of five disaster response categories. Two apps were chosen for discussion from each of the five sub-categories. The highest quality apps were determined from each group based on relevance to emergency preparedness and disaster response, rating, and number of reviews.

After comparisons with the 2015 article, many new apps have been developed and previously described apps have been updated, highlighting that this is a constantly changing field deserving of continued analysis and research.

Studying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.

To examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.

Genome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.

Earlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = −0.34 years, s.e. = 0.08), major depression (β = −0.34 years, s.e. = 0.08), schizophrenia (β = −0.39 years, s.e. = 0.08), and educational attainment (β = −0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.

AAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.

Retrospective self-report is typically used for diagnosing previous pediatric traumatic brain injury (TBI). A new semi-structured interview instrument (New Mexico Assessment of Pediatric TBI; NewMAP TBI) investigated test–retest reliability for TBI characteristics in both the TBI that qualified for study inclusion and for lifetime history of TBI.

One-hundred and eight-four mTBI (aged 8–18), 156 matched healthy controls (HC), and their parents completed the NewMAP TBI within 11 days (subacute; SA) and 4 months (early chronic; EC) of injury, with a subset returning at 1 year (late chronic; LC).

The test–retest reliability of common TBI characteristics [loss of consciousness (LOC), post-traumatic amnesia (PTA), retrograde amnesia, confusion/disorientation] and post-concussion symptoms (PCS) were examined across study visits. Aside from PTA, binary reporting (present/absent) for all TBI characteristics exhibited acceptable (≥0.60) test–retest reliability for both Qualifying and Remote TBIs across all three visits. In contrast, reliability for continuous data (exact duration) was generally unacceptable, with LOC and PCS meeting acceptable criteria at only half of the assessments. Transforming continuous self-report ratings into discrete categories based on injury severity resulted in acceptable reliability. Reliability was not strongly affected by the parent completing the NewMAP TBI.

Categorical reporting of TBI characteristics in children and adolescents can aid clinicians in retrospectively obtaining reliable estimates of TBI severity up to a year post-injury. However, test–retest reliability is strongly impacted by the initial data distribution, selected statistical methods, and potentially by patient difficulty in distinguishing among conceptually similar medical concepts (i.e., PTA vs. confusion).

Our objective was to examine the performance characteristics of a bladder stimulation technique for urine collection among infants presenting to the emergency department (ED).

This prospective cohort study enrolled a convenience sample of infants aged ≤ 90 days requiring urine testing in the ED. Infants were excluded if critically ill, moderately to severely dehydrated, or having significant feeding issues. Bladder stimulation consisted of finger tapping on the lower abdomen with or without lower back massage while holding the child upright. The primary outcome was successful midstream urine collection within 5 minutes of stimulation. Secondary outcomes included sample contamination, bladder stimulation time for successful urine collection, and perceived patient distress on a 100-mm visual analog scale (VAS).

We enrolled 151 infants and included 147 in the analysis. Median age was 53 days (interquartile range [IQR] 27–68 days). Midstream urine sample collection using bladder stimulation was successful in 78 infants (53.1%; 95% confidence interval [CI] 45–60.9). Thirty-nine samples (50%) were contaminated. Most contaminated samples (n = 31; 79.5%) were reported as “no significant growth” or “growth of 3 or more organisms”. Median bladder stimulation time required for midstream urine collection was 45 seconds (IQR 20–120 seconds). Mean VAS for infant distress was 22 mm (standard deviation 23 mm).

The success rate of this bladder stimulation technique was lower than previously reported. The contamination rate was high, however most contaminated specimens were easily identified and had no clinical impact.