Background: Solar urticaria is a rare and disabling photodermatosis. Due to its low prevalence, most available data regarding treatment are derived from observational studies and case series, and a systematic evaluation of treatment efficacy is lacking. This systematic review and meta-analysis aims to assess therapeutic outcomes across treatment modalities in order to guide clinical care. Methods: We conducted a systematic literature search across PubMed, ScienceDirect, the Cochrane Library, and ClinicalTrials.gov. Studies reporting treatment outcomes in patients with solar urticaria were included. Pooled response rates were calculated for each treatment modality. Results: Out of 508 studies initially identified, 38 met the inclusion criteria. Antihistamines were evaluated in 21 studies (376 patients), with a pooled response rate (partial or complete) of 83.0% (95% CI, 70.4–91.1%) and a complete response rate of 7.7% (95% CI, 1.7–28.3%). Phototherapy was assessed in 11 studies (145 patients), showing a similar overall response (89.8%; 95% CI, 77.9–95.3%) but a higher complete response rate (39.8%; 95% CI, 18.3–66.1%). Omalizumab, evaluated in nine studies (76 patients), demonstrated the highest efficacy, with 93.2% (95% CI, 73.8–98.5%) achieving response and 68.4% (95% CI, 48.5–83.2%) complete remission. Limited data on IVIG, cyclosporine, and plasmapheresis suggested partial efficacy in selected refractory cases. Conclusions: This meta-analysis may support clinical decision-making by clinicians. A stepwise approach is suggested: high-dose H₁ antihistamines as first-line therapy, phototherapy as an alternative option in patients with access to treatment centers, and omalizumab for those with insufficient response. In refractory cases, additional options might be considered.

The relative efficacy of antibiotic classes for pyelonephritis and complicated UTI (cUTI) remains unclear, as different antibiotic classes vary in antimicrobial activity, pharmacodynamics, and pharmacokinetics. Systematic review and meta-analysis. We searched PubMed, Cochrane CENTRAL, clinical-trial registries, and conference abstracts through 30 November 2025. Randomized controlled trials comparing antibiotic classes in adults with pyelonephritis/ cUTI were eligible (PROSPERO CRD42023448020). Five comparisons were analyzed: quinolones vs β-lactams, cephalosporins vs penicillins, aminoglycosides vs quinolones or beta-lactams, trimethoprim-sulfamethoxazole vs quinolones or beta-lactams, and ESBL-active agents vs non-ESBL-active antibiotics. The primary outcome was clinical cure by day 7. We compiled risk ratios (RRs) with 95% confidence intervals (CI) using fixed-effect meta-analyses. Risk of bias was assessed with ROB 2.0 and evidence certainty using GRADE. Thirty-seven RCTs were included, comprising 7,904 mainly hospitalized participants (62.7% women). Most had some risk-of-bias concerns. No significant difference in clinical cure was observed with moderate evidence certainty, across all comparisons. Relapse increased significantly with TMP/ SMX compared to quinolones or beta-lactams (RR 2.34 [1.29, 4.24]) and microbiological cure improved with ESBL-active antibiotics (RR 1.07 [1.02, 1.13], very low certainty evidence). TMP/ SMX increased adverse events and aminoglycosides increased nephrotoxicity and resistance acquisition. Clinical cure was comparable across all comparisons. This supports basing antibiotic selection on local resistance patterns, patient factors, and toxicity profiles rather than presumed class superiority.

Introduction: Anesthesiologists play an important role in the management of labor and delivery during acute malaria infection. The peripartum anesthesia considerations for such cases remain unclear. Findings: Important peripartum considerations include the severity of thrombocytopenia and coagulopathy, hemodynamic status and cardiac disease, and the likelihood of central nervous system (CNS) involvement. Several antimalarial drugs may interact with perioperative medications, causing hypoglycemia, methemoglobinemia, or QT prolongation. Labor should usually not be induced. Patient volume status should be optimized pre-induction, but fluids should be administered with caution given the risk of cerebral edema. In case of CNS involvement intracranial pressure should be maintained. Case reports describe the successful use of neuraxial anesthesia but this approach requires further confirmation of safety. Despite the risks accompanying airway management in pregnancy, in some cases, general anesthesia was preferred due to the chance of CNS infection and disease complications. Tight postoperative assessments of neurological and bleeding status are indicated regardless of the mode of delivery. Conclusions: Despite the prevalence of malaria, the perioperative risk and preferred mode of anesthesia for pregnant patients with acute malaria remain under-researched and outcome data are limited.

Purpose of review: For augmented intelligence (AI) tools to realize their potential, critical care clinicians must ensure they are designed to improve long-term outcomes. This overview is intended to align professionals with the state-of-the art of AI. Recent findings: Many AI tools are undergoing preliminary assessment of their ability to support the care of survivors and their caregivers at multiple time points after intensive care unit (ICU) discharge. The domains being studied include early identification of deterioration (physiological, mental), management of impaired physical functioning, pain, sleep and sexual dysfunction, improving nutrition and communication, and screening and treatment of cognitive impairment and mental health disorders. Several technologies are already being marketed and many more are in various stages of development. These technologies mostly still require clinical trials outcome testing. However, lacking a formal regulatory approval process, some are already in use. Summary: Plans for long-term management of ICU survivors must account for the development of a holistic follow-up system that incorporates AI across multiple platforms. A tiered post-ICU screening program may be established wherein AI tools managed by ICU follow-up clinics provide appropriate assistance without human intervention in cases with less pathology and refer severe cases to expert treatment.