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Falkenbach F, Di Bello F, Rodriguez Peñaranda N, Longoni M, Marmiroli A, Le QC, Tian Z, Goyal JA, Longo N, Micali S, Briganti A, de Cobelli O, Chun FKH, Saad F, Shariat SF, Budäus L, Graefen M, Karakiewicz PI. Adverse In-Hospital Outcomes after Radical Prostatectomy in Leukemia History Patients. Cancers (Basel) 2024; 16:2764. [PMID: 39123490 PMCID: PMC11311396 DOI: 10.3390/cancers16152764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 07/29/2024] [Accepted: 08/03/2024] [Indexed: 08/12/2024] Open
Abstract
INTRODUCTION Leukemia history affects some radical prostatectomy (RP) patients. Although its prevalence and effect as an adverse risk factor are well known in cardiac surgery, the number of RP patients with a leukemia history, as well as their rate of adverse in-hospital outcomes, are unknown. METHODS We identified RP patients (National Inpatient Sample 2000-2019), stratified according to the presence or absence of a leukemia history. Descriptive analyses, propensity score matching (PSM, ratio 1:10), and multivariable logistic regression models were used. RESULTS Of 259,939 RP patients, 416 (0.2%) had a leukemia history. Their proportion increased from 0.1 to 0.2% covering the study span (p < 0.01). Leukemia history patients were older (median age, 64 vs. 62 years, p < 0.001). After PSM for age, insurance status, ethnicity, pelvic lymph node dissection, and Charlson Comorbidity Index, leukemia history RP patients exhibited higher rates of acute kidney injury (<2.6 vs. 0.9%; Odds Ratio [OR] 2.0, p = 0.02), more frequently underwent dialysis (3.6 vs. 1.9%; OR 1.9, p = 0.03), and more frequently had a length of stay exceeding one week (4.8 vs. 2.5%; OR 2.0, p = 0.006). CONCLUSIONS Although leukemia history RP patients are rare, their numbers have increased. Renal complications and extended hospital stays are more frequent in those individuals.
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Affiliation(s)
- Fabian Falkenbach
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
- Martini-Klinik Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Francesco Di Bello
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
- Department of Neurosciences, Science of Reproduction and Odontostomatology, University of Naples Federico II, 80138 Naples, Italy
| | - Natali Rodriguez Peñaranda
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
- Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S. Agostino Estense Modena, University of Modena and Reggio Emilia, 41121 Modena, Italy
| | - Mattia Longoni
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
- Division of Experimental Oncology, Unit of Urology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Andrea Marmiroli
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
- Department of Urology, IEO European Institute of Oncology, IRCCS, 20141 Milan, Italy
- Università degli Studi di Milano, 20122 Milan, Italy
| | - Quynh Chi Le
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
- Department of Urology, Goethe University Frankfurt, University Hospital, 60596 Frankfurt am Main, Germany
| | - Zhe Tian
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
| | - Jordan A. Goyal
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
| | - Nicola Longo
- Department of Neurosciences, Science of Reproduction and Odontostomatology, University of Naples Federico II, 80138 Naples, Italy
| | - Salvatore Micali
- Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S. Agostino Estense Modena, University of Modena and Reggio Emilia, 41121 Modena, Italy
| | - Alberto Briganti
- Division of Experimental Oncology, Unit of Urology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Ottavio de Cobelli
- Department of Urology, IEO European Institute of Oncology, IRCCS, 20141 Milan, Italy
- Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, 20122 Milan, Italy
| | - Felix K. H. Chun
- Department of Urology, Goethe University Frankfurt, University Hospital, 60596 Frankfurt am Main, Germany
| | - Fred Saad
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
| | - Shahrokh F. Shariat
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria
- Department of Urology, Weill Cornell Medical College, New York, NY 10065, USA
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19111, Jordan
| | - Lars Budäus
- Martini-Klinik Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
- Department of Urology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Markus Graefen
- Martini-Klinik Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Pierre I. Karakiewicz
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, QC H2X 3E4, Canada
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Curovic Rotbain E, Lund Hansen D, Schaffalitzky de Muckadell O, Wibrand F, Meldgaard Lund A, Frederiksen H. Splenomegaly - Diagnostic validity, work-up, and underlying causes. PLoS One 2017; 12:e0186674. [PMID: 29135986 PMCID: PMC5685614 DOI: 10.1371/journal.pone.0186674] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 10/05/2017] [Indexed: 11/18/2022] Open
Abstract
Purpose Our aim was to assess the validity of the ICD-10 code for splenomegaly in the Danish National Registry of Patients (DNRP), as well as to investigate which underlying diseases explained the observed splenomegaly. Background Splenomegaly is a common finding in patients referred to an internal medical department and can be caused by a large spectrum of diseases, including haematological diseases and liver cirrhosis. However, some patients remain without a causal diagnosis, despite extensive medical work-up. Patients and methods We identified 129 patients through the DNRP, that had been given the ICD-10 splenomegaly diagnosis code in 1994–2013 at Odense University Hospital, Denmark, excluding patients with prior splenomegaly, malignant haematological neoplasia or liver cirrhosis. Medical records were reviewed for validity of the splenomegaly diagnosis, diagnostic work-up, and the underlying disease was determined. The positive predictive value (PPV) with 95% confidence interval (CI) was calculated for the splenomegaly diagnosis code. Patients with idiopathic splenomegaly in on-going follow-up were also invited to be investigated for Gaucher disease. Results The overall PPV was 92% (95% CI: 85, 96). Haematological diseases were the underlying causal diagnosis in 39%; hepatic diseases in 18%, infectious disease in 10% and other diseases in 8%. 25% of patients with splenomegaly remained without a causal diagnosis. Lymphoma was the most common haematological causal diagnosis and liver cirrhosis the most common hepatic causal diagnosis. None of the investigated patients with idiopathic splenomegaly had Gaucher disease. Conclusion Our findings show that the splenomegaly diagnosis in the DNRP is valid and can be used in registry-based studies. However, because of suspected significant under-coding, it should be considered if supplementary data sources should be used in addition, in order to attain a more representative population. Haematological diseases were the most common cause, however in a large fraction of patients no causal diagnosis was found.
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Affiliation(s)
| | | | | | - Flemming Wibrand
- Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Allan Meldgaard Lund
- Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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Neuwirth MG, Bartlett EK, Newton AD, Fraker DL, Kelz RR, Roses RE, Karakousis GC. Morbidity and mortality after total splenectomy for lymphoid neoplasms. J Surg Res 2016; 205:155-62. [PMID: 27621013 DOI: 10.1016/j.jss.2016.06.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 05/11/2016] [Accepted: 06/10/2016] [Indexed: 11/25/2022]
Abstract
BACKGROUND Splenectomy is indicated for selected patients with lymphoid neoplasms. We examined surgical morbidity and mortality in this high-risk patient population using a contemporary national cohort, with attention to hospitalization status before surgery. MATERIALS AND METHODS The American College of Surgeons National Surgical Quality Improvement Program database (2005-2013) was queried for patients with lymphoid malignancies undergoing splenectomy. Stepwise statistical analyses were performed to identify factors associated with increased risk of death and serious morbidity (DSM). A risk scoring system was developed to predict DSM. RESULTS In 456 patients, morbidity rate was 24.1%, and mortality rate was 2.4%. Albumin <3 g/dL (odds ratio [OR] = 2.6, P = 0.005), hematocrit <30% (OR = 2.8, P < 0.0001), and a history of chronic obstructive pulmonary disease (OR = 3.4 P = 0.009) were independent predictors of DSM. Rates of DSM were stratified by these risk factors (RFs): 13.5% (0 RF), 34.4% (1 RF), and 58.5% (2-3 RF), P < 0.0001. Patients admitted before surgery (IP) were more likely to have RF compared with those undergoing surgery on the day of admission (SDS); 74.6 versus 26.4%, P < 0.001. Morbidity (39.7% versus 18.2%, P < 0.0001) and mortality (7.1% versus 0.6%, P < 0.0001) were significantly increased in the IP group. CONCLUSIONS Splenectomy for lymphoid neoplasm in hospitalized patients is associated with substantial morbidity and mortality. Risk stratification in this group may aid in perioperative management to mitigate DSM.
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Affiliation(s)
- Madalyn G Neuwirth
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
| | - Edmund K Bartlett
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Andrew D Newton
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Douglas L Fraker
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Rachel R Kelz
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert E Roses
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Giorgos C Karakousis
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
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