Wojciech Nowak

Dr. Wojciech Nowak

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2012 in Archives of Gerontology and Geriatrics
Verified
Journal Article
Closed access
PMPaweł Tomasz Matusik
Paweł Tomasz Matusik
KTKrzysztof A. Tomaszewski
Krzysztof A. Tomaszewski
KCKatarzyna Chmielowska
Katarzyna Chmielowska
JNJan Nowak
Jan Nowak
WNWojciech Nowak
Wojciech Nowak
TGTomasz Grodzicki
Tomasz Grodzicki

1 July 2011
Verified
Journal Article
Closed access
KTKrzysztof A. Tomaszewski
Krzysztof A. Tomaszewski
MZMagdalena Zarychta
Magdalena Zarychta
ABAnna Bieńkowska
Anna Bieńkowska
ECElzbieta Chmurowicz
Elzbieta Chmurowicz
WNWojciech Nowak
Wojciech Nowak
ASAnna Skalska
Anna Skalska

7 April 2022 in Critical Care
Verified
Journal Article
Open access
PDF file
ETEwa Trejnowska
Ewa Trejnowska
DDDominik Drobiński
Dominik Drobiński
PKPiotr Knapik
Piotr Knapik
MWMarta Wajda-Pokrontka
Marta Wajda-Pokrontka
KSKonstanty Szuldrzynski
Konstanty Szuldrzynski
PSPiotr Suwalski
Piotr Suwalski
Background: In Poland, the clinical characteristics and outcomes of patients with COVID-19 requiring extracorporeal membrane oxygenation (ECMO) remain unknown. This study aimed to answer these unknowns by analyzing data collected from high-volume ECMO centers willing to participate in this project. Methods: This retrospective, multicenter cohort study was completed between March 1, 2020, and May 31, 2021 (15 months). Data from all patients treated with ECMO for COVID-19 were analyzed. Pre-ECMO laboratory and treatment data were compared between non-survivors and survivors. Independent predictors for death in the intensive care unit (ICU) were identified. Results: There were 171 patients admitted to participating centers requiring ECMO for refractory hypoxemia due to COVID-19 during the defined time period. A total of 158 patients (mean age: 46.3 ± 9.8 years) were analyzed, and 13 patients were still requiring ECMO at the end of the observation period. Most patients (88%) were treated after October 1, 2020, 77.8% were transferred to ECMO centers from another facility, and 31% were transferred on extracorporeal life support. The mean duration of ECMO therapy was 18.0 ± 13.5 days. The crude ICU mortality rate was 74.1%. In the group of 41 survivors, 37 patients were successfully weaned from ECMO support and four patients underwent a successful lung transplant. In-hospital death was independently associated with pre-ECMO lactate level (OR 2.10 per 1 mmol/L, p = 0.017) and BMI (OR 1.47 per 5 kg/m2, p = 0.050). Conclusions: The ICU mortality rate among patients requiring ECMO for COVID-19 in Poland was high. In-hospital death was independently associated with increased pre-ECMO lactate levels and BMI.

1 March 2023 in Journal of Geriatric Cardiology
Verified
Journal Article
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WNWojciech Nowak
Wojciech Nowak
IKIlona Kowalik
Ilona Kowalik
MNMichał Nowicki
Michał Nowicki
TCTomasz Cichocki
Tomasz Cichocki
JSJanina Stępińska
Janina Stępińska
BACKGROUND Acute coronary syndrome (ACS) is linked to a range of in-hospital complications, and age is recognized as risk factor for adverse events. Discrepancies between physiological and chronological age are explained by frailty. However, the relationship between frailty and in-hospital complications is not clear. METHODS Assessment of frailty in patients was carried out using the FRAIL scale. In-hospital complications assessed included, bleeding, infection, arrhythmia, acute kidney injury (AKI), delirium, stroke/transient ischemic attack (TIA), liver injury, hypoglycemia, length of stay in the cardiac care unit (CCU). RESULTS Of the 174 patients, frailty was identified in 39.1% and pre-frailty in 29.9%. Frailty was associated with a higher incidence of all types of bleeding (frail vs. robust: 45.5% vs. 16.7%, P < 0.001) and infection (54.4% vs. 11.1%, P < 0.001), including pneumonia/lower respiratory tract infections (LRTI) and urinary tract infections (UTI). Incidence of antibiotic therapy (52.9% vs. 13.0%, P < 0.001), atrial fibrillation (AF) (47.1% vs. 9.3%, P < 0.001), AKI (57.3% vs. 20.4%, P < 0.001), delirium (52.9% vs. 3.7%, P < 0.001), liver injury, were higher in frail patients (17.6% vs. 0, P = 0.001), whilst their length of stay in the CCU was longer (4 days (2-6.5) vs. 2 days (2-3), P < 0.001). Infections, pneumonia/LRTI, antibiotic therapy during hospitalization, the incidence of AF and liver injury were more often in patients with pre-frailty compared to the robust group. After adjustment for potential confounders, frailty remained independently associated with an increased risk of infection (OR: 3.3 [1.6-7.0]), including pneumonia/LRTI (OR: 2.5 [1.1-5.8]) and UTI (OR: 4.8 [1.8-12.5]). Frail individuals had an increased requirement for antibiotic therapy (OR: 3.9 [1.9-8.1]), and greater risk of AF (OR: 3.5 [1.3-9.3]), AKI (OR: 2.6 [1.2-5.3]) delirium (OR: 11.7 [4.8-28.7]), as well as having to stay longer in the CCU (> 3 days) (OR: 3.7 [1.9-7.3]). CONCLUSIONS Frailty was associated with an increased risk of numerous in-hospital complications in elderly patients who had been hospitalized with ACS.

1 January 2022
Verified
Journal Article
Open access
WNWojciech Nowak
Wojciech Nowak
IKIlona Kowalik
Ilona Kowalik
MKMalgorzata Kuzin
Malgorzata Kuzin
AKAgnieszka Krauze
Agnieszka Krauze
AMAnna Mierzynska
Anna Mierzynska
JSJanina Stepinska
Janina Stepinska
BACKGROUND Frailty is associated with adverse events in elderly patients with acute coronary syndrome (ACS). Our aim was to compare the prognostic value of four frailty scales in patients aged >= 65 years hospitalized with ACS in a cardiac care unit (CCU). METHODS Patients aged >= 65 years with ACS were included. Frailty was assessed using the Fried frailty scale (reference standard), the Edmonton Frail Scale (EFS), the FRAIL scale, and the Clinical frailty scale (CFS). The primary end point was all-cause mortality and the secondary end point was unscheduled rehospitalization. RESULTS One hundred and seventy four patients aged >= 65 years with ACS were recruited. The median follow-up was 637.5 days. Frailty was identified in 41.4%, 40.2%, 39.1% and 36.3% patients by the Fried frailty scale, EFS, FRAIL scale and CFS, respectively. The agreement coefficients were 0.88, 0.86, and 0.79 for the FRAIL scale, EFS and CFS, respectively. In the Cox regression model, frailty was associated with all-cause mortality regardless of the scale used (univariate: hazard ratio [FIR] 95% CI = 105, 2.4-46.8 Fried frailty scale; 12.0, 2.7-53.4 FRAIL scale; 7.1, 2.0-25.2 EFS; 8.3, 2.4-29.6 CFS. Multivariate: HR = 5.1, 1.1-23.8 Fried frailty scale; 5.7, 1.2-26.8 FRAIL scale; 3.7, 1.0-14.0 EFS; 4.2, 1.1-15.9 CE'S). The FRAIL scale had the highest HR. In the univariate analysis, frailty was associated with unscheduled rehospitalization (HR = 3.2, 1.7-6.0 Fried frailty scale; 3.4, 1.8-6.3 FRAIL scale; 3.5, 1.8-6.6 EFS; 3.1, 1.7-5.8 CFS). In the multivariate analysis, only the EFS independently predicted unscheduled rehospitalization (HR = 2.2,1.1-4.63). CONCLUSIONS Frailty assessed by the Fried frailty scale, FRAIL scale, EFS and CFS is associated with all-cause mortality and unscheduled rehospitalization in elderly patients hospitalized in a CCU with ACS. The adjusted HR of the FRAIL scale for allcause mortality was the highest among the scales compared, whereas the EFS was an independent predictor of unscheduled rehospitalization. These data should be taken into consideration when choosing a frailty assessment tool.

27 August 2021 in Polish Heart Journal
Verified
Journal Article
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PSPiotr Suwalski
Piotr Suwalski
DDDominik Drobiński
Dominik Drobiński
RSRadosław Smoczyński
Radosław Smoczyński
MFMarzena Franczyk
Marzena Franczyk
WSWojciech Sarnowski
Wojciech Sarnowski
JSJakub Staromłyński
Jakub Staromłyński