The Parkin gene on 6q25.2-27 is responsible for about 50% of autosomal recessive juvenile parkinsonism and less than 20% of sporadic early-onset cases. We recently mapped a novel locus for early-onset parkinsonism (PARK6) on chromosome 1p35-p36 in a large family from Sicily. We now confirm linkage to PARK6 in eight additional families with Parkin-negative autosomal recessive juvenile parkinsonism from four different European countries. The maximum cumulative pairwise LOD score was 5.39 for marker D1S478. Multipoint linkage analysis gave the highest cumulative LOD score of 6.29 for marker D1S478. Haplotype construction and determination of the smallest region of homozygosity in one consanguineous family has reduced the candidate interval to a 9cM region between markers D1S483 and D1S2674. No common haplotype could be detected, excluding a common founder effect. These families share some clinical features with the phenotype reported for European Parkin-positive cases, with a wide range of ages at onset (up to 68 yrs) and slow progression. However, features typical of autosomal recessive juvenile parkinsonism, including dystonia at onset and sleep benefit, were not observed in PARK6-linked families, thus making the clinical presentation of late-onset cases indistinguishable from idiopathic Parkinson's disease. PARK6 appears to be an important locus for early-onset parkinsonism in European Parkin-negative patients.

In acute respiratory distress syndrome (ARDS) with severe hypoxemia or respiratory acidosis, veno-venous extracorporeal membrane oxygenation (VV-ECMO) ensures oxygenation and decarboxylation. Commonly, simultaneous cannulation of jugular and femoral veins is used for VV-ECMO. A recently introduced dual-lumen cannula for VV-ECMO promises single vessel access through the right internal jugular vein and patient ambulation. However, correct direction of the reinfusion jet toward the tricuspid valve during ECMO treatment requires more demanding cannula placement control. We present a new ultrasound-guided technique for the placement of a dual-lumen VV-ECMO cannula in a patient with ARDS and extreme obesity.

Aims This study aimed to determine whether anthropometric markers of thoracic skeletal muscle and abdominal visceral fat tissue correlate with outcome parameters in critically ill COVID-19 patients. Methods We retrospectively analysed thoracic CT-scans of 67 patients in four ICUs at a university hospital. Thoracic skeletal muscle (total cross-sectional area(CSA); pectoralis muscle area(PMA)) and abdominal visceral fat tissue(VAT) were quantified using a semi-automated method. Point-biserial-correlation-coefficient, Spearman-correlation-coefficient, Wilcoxon rank-sum test and logistic regression were used to assess the correlation and test for differences between anthropometric parameters and death, ventilator- and ICU-free days and initial inflammatory laboratory values. Results Deceased patients had lower CSA and PMA values, but higher VAT values(p < 0.001). Male patients with higher CSA values had more ventilator-free days(p = 0.047) and ICU-free days(p = 0.017). Higher VAT/CSA and VAT/PMA values were associated with higher mortality(p < 0.001), but were negatively correlated with ICU length of stay in female patients only(p < 0.016). There was no association between anthropometric parameters and initial inflammatory biomarker levels. Logistic regression revealed no significant independent predictor for death. Conclusion Our study suggests that pathologic body composition assessed by planimetric measurements using thoracic CT-scans is associated with worse outcome in critically ill COVID-19 patients.

The Parkin gene on 6q25.2-27 is responsible for about 50% of autosomal recessive juvenile parkinsonism and less than 20% of sporadic early-onset cases. We recently mapped a novel locus for early-onset parkinsonism (PARK6) on chromosome 1p35-p36 in a large family from Sicily. We now confirm linkage to PARK6 in eight additional families with Parkin-negative autosomal recessive juvenile parkinsonism from four different European countries. The maximum cumulative pairwise LOD score was 5.39 for marker D1S478. Multipoint linkage analysis gave the highest cumulative LOD score of 6.29 for marker D1S478. Haplotype construction and determination of the smallest region of homozygosity in one consanguineous family has reduced the candidate interval to a 9cM region between markers D1S483 and D1S2674. No common haplotype could be detected, excluding a common founder effect. These families share some clinical features with the phenotype reported for European Parkin-positive cases, with a wide range of ages at onset (up to 68 yrs) and slow progression. However, features typical of autosomal recessive juvenile parkinsonism, including dystonia at onset and sleep benefit, were not observed in PARK6-linked families, thus making the clinical presentation of late-onset cases indistinguishable from idiopathic Parkinson's disease. PARK6 appears to be an important locus for early-onset parkinsonism in European Parkin-negative patients.

(1) Background: Extracorporeal membrane oxygenation (ECMO) therapy in intensive care units (ICUs) remains the last treatment option for Coronavirus disease 2019 (COVID-19) patients with severely affected lungs but is highly resource demanding. Early risk stratification for the need of ECMO therapy upon admission to the hospital using artificial intelligence (AI)-based computed tomography (CT) assessment and clinical scores is beneficial for patient assessment and resource management; (2) Methods: Retrospective single-center study with 95 confirmed COVID-19 patients admitted to the participating ICUs. Patients requiring ECMO therapy (n = 14) during ICU stay versus patients without ECMO treatment (n = 81) were evaluated for discriminative clinical prediction parameters and AI-based CT imaging features and their diagnostic potential to predict ECMO therapy. Reported patient data include clinical scores, AI-based CT findings and patient outcomes; (3) Results: Patients subsequently allocated to ECMO therapy had significantly higher sequential organ failure (SOFA) scores (p < 0.001) and significantly lower oxygenation indices on admission (p = 0.009) than patients with standard ICU therapy. The median time from hospital admission to ECMO placement was 1.4 days (IQR 0.2–4.0). The percentage of lung involvement on AI-based CT assessment on admission to the hospital was significantly higher in ECMO patients (p < 0.001). In binary logistic regression analyses for ECMO prediction including age, sex, body mass index (BMI), SOFA score on admission, lactate on admission and percentage of lung involvement on admission CTs, only SOFA score (OR 1.32, 95% CI 1.08–1.62) and lung involvement (OR 1.06, 95% CI 1.01–1.11) were significantly associated with subsequent ECMO allocation. Receiver operating characteristic (ROC) curves showed an area under the curve (AUC) of 0.83 (95% CI 0.73–0.94) for lung involvement on admission CT and 0.82 (95% CI 0.72–0.91) for SOFA scores on ICU admission. A combined parameter of SOFA on ICU admission and lung involvement on admission CT yielded an AUC of 0.91 (0.84–0.97) with a sensitivity of 0.93 and a specificity of 0.84 for ECMO prediction; (4) Conclusions: AI-based assessment of lung involvement on CT scans on admission to the hospital and SOFA scoring, especially if combined, can be used as risk stratification tools for subsequent requirement for ECMO therapy in patients with severe COVID-19 disease to improve resource management in ICU settings.