TY  - JOUR
A1  - Müller, Jörg
A1  - Mitesser, Oliver
A1  - Schaefer, H. Martin
A1  - Seibold, Sebastian
A1  - Busse, Annika
A1  - Kriegel, Peter
A1  - Rabl, Dominik
A1  - Gelis, Rudy
A1  - Arteaga, Alejandro
A1  - Freile, Juan
A1  - Leite, Gabriel Augusto
A1  - de Melo, Tomaz Nascimento
A1  - LeBien, Jack
A1  - Campos-Cerqueira, Marconi
A1  - Blüthgen, Nico
A1  - Tremlett, Constance J.
A1  - Böttger, Dennis
A1  - Feldhaar, Heike
A1  - Grella, Nina
A1  - Falconí-López, Ana
A1  - Donoso, David A.
A1  - Moriniere, Jerome
A1  - Buřivalová, Zuzana
T1  - Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests
JF  - Nature Communications
N2  - Tropical forest recovery is fundamental to addressing the intertwined climate and biodiversity loss crises. While regenerating trees sequester carbon relatively quickly, the pace of biodiversity recovery remains contentious. Here, we use bioacoustics and metabarcoding to measure forest recovery post-agriculture in a global biodiversity hotspot in Ecuador. We show that the community composition, and not species richness, of vocalizing vertebrates identified by experts reflects the restoration gradient. Two automated measures – an acoustic index model and a bird community composition derived from an independently developed Convolutional Neural Network - correlated well with restoration (adj-R² = 0.62 and 0.69, respectively). Importantly, both measures reflected composition of non-vocalizing nocturnal insects identified via metabarcoding. We show that such automated monitoring tools, based on new technologies, can effectively monitor the success of forest recovery, using robust and reproducible data.
KW  - animal behaviour
KW  - conservation biology
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-358130
VL  - 14
ER  - 
TY  - JOUR
A1  - Jakuscheit, Axel
A1  - Schaefer, Nina
A1  - Roedig, Johannes
A1  - Luedemann, Martin
A1  - Hertzberg-Boelch, Sebastian Philipp von
A1  - Weissenberger, Manuel
A1  - Schmidt, Karsten
A1  - Holzapfel, Boris Michael
A1  - Rudert, Maximilian
T1  - Modifiable individual risks of perioperative blood transfusions and acute postoperative complications in total hip and knee arthroplasty
JF  - Journal of Personalized Medicine
N2  - Background: The primary aim of this study was to identify modifiable patient-related predictors of blood transfusions and perioperative complications in total hip and knee arthroplasty. Individual predictor-adjusted risks can be used to define preoperative treatment thresholds. Methods: We performed this retrospective monocentric study in orthopaedic patients who underwent primary total knee or hip arthroplasty. Multivariate logistic regression models were used to assess the predictive value of patient-related characteristics. Predictor-adjusted individual risks of blood transfusions and the occurrence of any perioperative adverse event were calculated for potentially modifiable risk factors. Results: 3754 patients were included in this study. The overall blood transfusion and complication rates were 4.8% and 6.4%, respectively. Haemoglobin concentration (Hb, p < 0.001), low body mass index (BMI, p < 0.001) and estimated glomerular filtration rate (eGFR, p = 0.004) were the strongest potentially modifiable predictors of a blood transfusion. EGFR (p = 0.001) was the strongest potentially modifiable predictor of a complication. Predictor-adjusted risks of blood transfusions and acute postoperative complications were calculated for Hb and eGFR. Hb = 12.5 g/dL, BMI = 17.6 kg/m\(^2\), and eGFR = 54 min/mL were associated, respectively, with a 10% risk of a blood transfusion, eGFR = 59 mL/min was associated with a 10% risk of a complication. Conclusion: The individual risks for blood transfusions and acute postoperative complications are strongly increased in patients with a low preoperative Hb, low BMI or low eGFR. We recommend aiming at a preoperative Hb ≥ 13g/dL, an eGFR ≥ 60 mL/min and to avoid a low BMI. Future studies must show if a preoperative increase of eGFR and BMI is feasible and truly beneficial.
KW  - patient blood management
KW  - total joint arthroplasty
KW  - haemoglobin
KW  - perioperative management
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-250290
SN  - 2075-4426
VL  - 11
IS  - 11
ER  -