日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Mortality in cancer patients with SARS-CoV-2 or seasonal influenza: an observational cohort study from a German-wide hospital network

德国一家医院网络开展的观察性队列研究：癌症患者合并SARS-CoV-2或季节性流感的死亡率

期刊:Infection
影响因子:3.6
doi:10.1007/s15010-022-01852-5
Kodde, Cathrin; Bonsignore, Marzia; Schöndube, Daniel; Bauer, Torsten; Hohenstein, Sven; Bollmann, Andreas; Meier-Hellmann, Andreas; Kuhlen, Ralf; Nachtigall, Irit
SARS-CoV-2
肿瘤
肿瘤免疫
流感
微生物学
发表日期：2023
文献求助 收藏

National mortality data for Germany before and throughout the pandemic: There is an excess mortality exceeding COVID-19-attributed fatalities

德国疫情前后全国死亡率数据显示：超额死亡人数超过了新冠肺炎导致的死亡人数。

期刊:Journal of Infection
影响因子:11.9
doi:10.1016/j.jinf.2022.02.024
König, Sebastian; Hohenstein, Sven; Leiner, Johannes; Hindricks, Gerhard; Meier-Hellmann, Andreas; Kuhlen, Ralf; Bollmann, Andreas
肺炎
新冠
微生物学
发表日期：2022
文献求助 收藏

A Comparative Analysis of In-Hospital Mortality per Disease Groups in Germany Before and During the COVID-19 Pandemic From 2016 to 2020

德国在新冠疫情爆发前后（2016年至2020年）按疾病组别划分的院内死亡率比较分析

期刊:Jama Network Open
影响因子:9.7
doi:10.1001/jamanetworkopen.2021.48649
König, Sebastian; Pellissier, Vincent; Hohenstein, Sven; Leiner, Johannes; Hindricks, Gerhard; Meier-Hellmann, Andreas; Kuhlen, Ralf; Bollmann, Andreas
微生物学
新冠
发表日期：2022
文献求助 收藏

Machine learning-derived prediction of in-hospital mortality in patients with severe acute respiratory infection: analysis of claims data from the German-wide Helios hospital network

利用机器学习预测重症急性呼吸道感染患者的院内死亡率：基于德国Helios医院网络索赔数据的分析

期刊:Respiratory Research
影响因子:5
doi:10.1186/s12931-022-02180-w
Leiner, Johannes; Pellissier, Vincent; König, Sebastian; Hohenstein, Sven; Ueberham, Laura; Nachtigall, Irit; Meier-Hellmann, Andreas; Kuhlen, Ralf; Hindricks, Gerhard; Bollmann, Andreas
炎症/感染
发表日期：2022
文献求助 收藏

Changes in nationwide in-hospital stroke care during the first four waves of COVID-19 in Germany

德国在前四波新冠疫情期间全国医院内卒中治疗的变化

期刊:European Stroke Journal
影响因子:4.5
doi:10.1177/23969873221089152
Dengler, Julius; Prass, Konstantin; Palm, Frederick; Hohenstein, Sven; Pellisier, Vincent; Stoffel, Michael; Hong, Bujung; Meier-Hellmann, Andreas; Kuhlen, Ralf; Bollmann, Andreas; Rosahl, Steffen
微生物学
新冠
发表日期：2022
文献求助 收藏

From population- to patient-based prediction of in-hospital mortality in heart failure using machine learning

利用机器学习从基于人群到基于患者的心力衰竭院内死亡率预测

期刊:European Heart Journal - Digital Health
影响因子:3.9
doi:10.1093/ehjdh/ztac012
König, Sebastian; Pellissier, Vincent; Hohenstein, Sven; Leiner, Johannes; Meier-Hellmann, Andreas; Kuhlen, Ralf; Hindricks, Gerhard; Bollmann, Andreas
心力衰竭
心血管
发表日期：2022
文献求助 收藏

Effect of gender, age and vaccine on reactogenicity and incapacity to work after COVID-19 vaccination: a survey among health care workers

性别、年龄和疫苗对新冠疫苗接种后反应原性和丧失工作能力的影响：一项针对医护人员的调查

期刊:BMC Infectious Diseases
影响因子:3
doi:10.1186/s12879-022-07284-8
Nachtigall, Irit; Bonsignore, Marzia; Hohenstein, Sven; Bollmann, Andreas; Günther, Rosita; Kodde, Cathrin; Englisch, Martin; Ahmad-Nejad, Parviz; Schröder, Alexander; Glenz, Corinna; Kuhlen, Ralf; Thürmann, Petra; Meier-Hellmann, Andreas
微生物学
新冠
发表日期：2022
文献求助 收藏

Cholecystectomies in the COVID-19 Pandemic During and After the First Lockdown in Germany: an Analysis of 8561 Patients

德国在新冠疫情期间及首次封城后进行的胆囊切除术：一项对 8561 例患者的分析

期刊:Journal of Gastrointestinal Surgery
影响因子:2.4
doi:10.1007/s11605-021-05157-0
Koch, Franziska; Hohenstein, Sven; Bollmann, Andreas; Meier-Hellmann, Andreas; Kuhlen, Ralf; Ritz, Jörg-Peter
微生物学
新冠
发表日期：2022
文献求助 收藏

Expected and observed in-hospital mortality in heart failure patients before and during the COVID-19 pandemic: Introduction of the machine learning-based standardized mortality ratio at Helios hospitals

COVID-19 大流行前后心力衰竭患者的预期和实际院内死亡率：Helios 医院引入基于机器学习的标准化死亡率比率

期刊:Clinical Cardiology
影响因子:2.3
doi:10.1002/clc.23762
König, Sebastian; Pellissier, Vincent; Leiner, Johannes; Hohenstein, Sven; Ueberham, Laura; Meier-Hellmann, Andreas; Kuhlen, Ralf; Hindricks, Gerhard; Bollmann, Andreas
心力衰竭
心血管
发表日期：2022
文献求助 收藏

Outcomes and proportions of pregnant women during the first and consecutive waves of coronavirus disease 2019: observational cohort study

2019冠状病毒病第一波及后续疫情期间孕妇的结局和比例：观察性队列研究

期刊:Clinical Microbiology and Infection
影响因子:8.5
doi:10.1016/j.cmi.2021.09.002
Kodde, Cathrin; Bonsignore, Marzia; Hohenstein, Sven; Kuhlen, Ralf; Meier-Hellmann, Andreas; Bollmann, Andreas; Nachtigall, Irit
微生物学
发表日期：2021
文献求助 收藏