Outcomes of Kidney Perfusion Techniques in Transplantation from Deceased Donors: A Systematic Review and Meta-Analysis.

The high demand for organs in kidney transplantation and the expansion of the donor pool have led to the widespread implementation of machine perfusion technologies. In this study, we aim to provide an up-to-date systematic review of the developments in this expanding field over the past 10 years, with the aim of answering the question: "which perfusion technique is the most promising technique in kidney transplantation?" A systematic review of the literature related to machine perfusion in kidney transplantation was performed. The primary outcome measure was delayed graft function (DGF), and secondary outcomes included rates of rejection, graft survival, and patient survival rates after 1 year. Based on the available data, a meta-analysis was performed. The results were compared with data from static cold storage, which is still the standard of care in many centers worldwide. A total of 56 studies conducted in humans were included, and 43 studies reported outcomes of hypothermic machine perfusion (HMP), with a DGF rate of 26.4%. A meta-analysis of 16 studies showed significantly lower DGF rates in the HMP group compared to those of static cold storage (SCS). Five studies reported outcomes of hypothermic machine perfusion + O2, with an overall DGF rate of 29.7%. Two studies explored normothermic machine perfusion (NMP). These were pilot studies, designed to assess the feasibility of this perfusion approach in the clinical setting. Six studies reported outcomes of normothermic regional perfusion (NRP). The overall incidence of DGF was 71.5%, as it was primarily used in uncontrolled DCD (Maastricht category I-II). Three studies comparing NRP to in situ cold perfusion showed a significantly lower rate of DGF with NRP. The systematic review and meta-analysis provide evidence that dynamic preservation strategies can improve outcomes following kidney transplantation. More recent approaches such as normothermic machine perfusion and hypothermic machine perfusion + O2 do show promising results but need further results from the clinical setting. This study shows that the implementation of perfusion strategies could play an important role in safely expanding the donor pool.

Postnatal cerebral hemodynamics in infants with severe congenital heart disease: a scoping review.

Patients with severe congenital heart disease (CHD) are at risk for impaired neurodevelopment. Cerebral blood supply may be diminished by congenital anomalies of cardiovascular anatomy and myocardial function. The aim of this scoping review was to summarize the current knowledge on cerebral hemodynamics in infants with severe CHD. A scoping review was performed. Five databases were searched for articles published from 01/1990 to 02/2022 containing information on cerebral hemodynamics assessed by neuroimaging methods in patients with severe CHD within their first year of life. A total of 1488 publications were identified, of which 26 were included. Half of the studies used Doppler ultrasound, and half used magnetic resonance imaging techniques. Studies focused on preoperative findings of cerebral hemodynamics, effects of surgical and conservative interventions, as well as on associations between cerebral hemodynamics and brain morphology or neurodevelopment. Cerebral perfusion was most severely affected in patients with single ventricle and other cyanotic disease. Neuroimaging methods provide a large variety of information on cerebral hemodynamics. Nevertheless, small and heterogeneous cohorts complicate this field of research. Further studies are needed to improve our understanding of the link between CHD and altered cerebral hemodynamics to optimize neuroprotection strategies. IMPACT: Postnatal cerebral hemodynamics are altered in infants with congenital heart disease (CHD) as compared to healthy controls, especially in most severe types such as single ventricle or other cyanotic CHD. Associations of these alterations with brain volume and maturation reveal their clinical relevance. Research in this area is limited due to the rarity and heterogeneity of diagnoses. Furthermore, longitudinal studies have rarely been conducted. Further effort is needed to better understand the deviation from physiological cerebral perfusion and its consequences in patients with CHD to optimize neuroprotection strategies.

The local soft tissue status and the prediction of local complications following fractures of the ankle region.

INTRODUCTION: Well-known risk factors (RF) for soft tissue complications following surgical treatment of fracture of the ankle region include diabetes, smoking, and the local soft tissue status. A weighted analysis might provide a risk profile that guides the surgical treatment strategy. The aim of this meta-analysis was to provide a risk profile for soft tissue complications following closed fractures of the ankle region. METHODS: This review provides a meta-analysis of studies that investigate potential risk factors for complications in fractures of the ankle region. INCLUSION CRITERIA: Original articles that were published between 2000 and 2020 in English or German language that calculated odds ratios (OR) of RF for soft tissue complications. Further, this study only includes articles that investigated fractures of the ankle region including pilon fracture, calcaneal fractures, and fractures of the malleoli. This study excluded articles that provide exploratory analyses, narrative reviews, and case reports. RF were stratified as patient specific systemic RF (PSS), patient specific local RF (PSL), and non-patient specific RF (NPS). PSS RF includes comorbidities, American society of anaesthesiology (ASA), requirement of medication, additional injuries, and smoking or substance abuse. PSL RF includes soft tissue status, wounds, and associated complications. NPS RF includes duration of surgery, staged procedure, or time to definitive surgery. Random effect (RE) models were utilized to summarize the effect measure (OR) for each group or specific RF. RESULTS: Out of 1352 unique articles, 34 were included for quantitative analyses. Out of 370 complications, the most commonly assessed RF were comorbidities (34.6%). Local soft tissue status accounted for 7.5% of all complications. The overall rate for complication was 10.9% (standard deviation, SD 8.7%). PSS RF had an OR of 1.04 (95%CI 1.01 to 1.06, p = 0.006), PSL an OR of 1.79 (95% 1.28 to 2.49, p = 0.0006), and NPS RF an OR of 1.01 (95%CI 0.97 to 1.05, p = 0.595). Additional injuries did not predict complications (OR 1.23, 95%CI 0.44 to 3.45, p = 0.516). The most predictive RF were open fracture (OR 3.47, 95%CI 1.64 to 7.34, p < 0.001), followed by local tissue damage (OR 3.05, 95%CI 1.23 to 40.92, p = 0.04), and diabetes (OR 2.3, 95%CI 1.1 to 4.79, p = 0.26). CONCLUSION: Among all RFs for regional soft tissue complications, the most predictive is the local soft tissue status, while additional injuries or NPS RF were less predictive. The soft tissue damage can be quantified and outweighs the cofactors described in previous publications. The soft tissue status appears to have a more important role in the decision making of the treatment strategy when compared with comorbidities such as diabetes.

The incremental value of the contribution of a biostatistician to the reporting quality in health research-A retrospective, single center, observational cohort study.

BACKGROUND: The reporting quality in medical research has recently been critically discussed. While reporting guidelines intend to maximize the value from funded research, and initiatives such as the EQUATOR network have been introduced to advance high quality reporting, the uptake of the guidelines by researchers could be improved. The aim of this study was to assess the contribution of a biostatistician to the reporting and methodological quality of health research, and to identify methodological knowledge gaps. METHODS: In a retrospective, single center, observational cohort study, two groups of publications were compared. The group of exposed publications had an academic biostatistician on the author list, whereas the group of non-exposed publications did not include a biostatistician of the evaluated group. Rating of reporting quality was done in blinded fashion and in duplicate. The primary outcome was a sum score based on six dimensions, ranging between 0 (worst) and 11 (best). The study protocol was reviewed and approved as a registered report. RESULTS: There were 131 publications in the exposed group published between 2017 and 2018. Of these, 95 were either RCTs, observational, or prediction / prognostic studies. Corresponding matches in the group of non-exposed publications were identified in a reproducible manner. Comparison of reporting quality overall revealed a 1.60 (95%CI from 0.92 to 2.28, p <0.0001) units higher reporting quality for exposed publications. A subgroup analysis within study types showed higher reporting quality across all three study types. CONCLUSION: Our study is the first to report an association of a higher reporting quality and methodological strength in health research publications with a biostatistician on the author list. The higher reporting quality persisted through subgroups of study types and dimensions. Methodological knowledge gaps were identified for prediction / prognostic studies, and for reporting on statistical methods in general and missing values, specifically.

Is reporting quality in medical publications associated with biostatisticians as co-authors? A registered report protocol.

BACKGROUND: Quality in medical research has recently been criticized for being low, especially in observational research. Methodology is increasingly difficult, but collaboration between clinical researchers and biostatisticians may improve research and reporting quality. The aim of this study is to quantify the value of a biostatistician in the team of authors. METHODS: Single-center, retrospective observational study following the STROBE reporting guidelines. We will systematically review all medical publications with biostatisticians from our center as co-authors or authors and review corresponding papers without biostatisticians from our center during the same time range. We will compare aspects of reporting quality, overall and for the three study types observational, randomized trial, and prognostic separately. DISCUSSION: We anticipate that the results of the study will raise awareness of the importance of high methodological quality, as well as appropriate reporting quality in clinical research. CONCLUSION: Our study will have a direct impact on our center by making each of us more aware of the reporting guidelines for various research designs. This in turn will enhance reporting quality in future research with our involvement. Our study will also raise awareness of the important role that biostatisticians play in the design and analysis of health research projects.