Inpatient admissions and outpatient appointments in the first year post cancer diagnosis: A population based study from England

2021 ◽  
Vol 74 ◽  
pp. 102003
Author(s):  
Joanna Pethick ◽  
Cong Chen ◽  
James Charnock ◽  
Rachel Bowden ◽  
Evangelia Tzala
2016 ◽  
Vol 69 ◽  
pp. 70-76 ◽  
Author(s):  
Yakir Rottenberg ◽  
Navah Z. Ratzon ◽  
Miri Cohen ◽  
Ayala Hubert ◽  
Beatrice Uziely ◽  
...  

Epilepsia ◽  
2016 ◽  
Vol 57 (10) ◽  
pp. 1594-1601 ◽  
Author(s):  
Eija Gaily ◽  
Markus Lommi ◽  
Risto Lapatto ◽  
Anna-Elina Lehesjoki

2011 ◽  
Vol 47 ◽  
pp. S253 ◽  
Author(s):  
T. Gigineishvili ◽  
N. Shengelia ◽  
S. Kartsivadze ◽  
G. Shalashvili ◽  
S. Tsiskaridze ◽  
...  

The Prostate ◽  
2020 ◽  
Vol 80 (16) ◽  
pp. 1438-1443
Author(s):  
Fernandino L. Vilson ◽  
Shufeng Li ◽  
James D. Brooks ◽  
Michael L. Eisenberg

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5444-5444
Author(s):  
Sæmundur Rögnvaldsson ◽  
Ingemar Turesson ◽  
Magnus Björkholm ◽  
Ola Landgren ◽  
Sigurður Yngvi Kristinsson

Introduction Peripheral neuropathy (PN) is a common disorder that can be caused by amyloid light-chain amyloidosis (AL). AL is a rare disorder caused by the deposition of amyloid fibers, originating from malignant plasma cells. Amyloid deposition in peripheral nerves causes PN and is present in 35% of patients with newly diagnosed AL. Diagnosis of AL can be difficult, leading to under-recognition, diagnostic delay, and delayed treatment. Virtually all instances of AL are preceded by monoclonal gammopathy of undetermined significance (MGUS). MGUS is relatively common with a reported prevalence of 4.2% in the general Caucasian population over the age of 50 years. Although MGUS is usually considered asymptomatic, a significant proportion of affected individuals develop PN. However, we are not aware of any studies assessing how PN affects risk of MGUS progression to AL. We were therefore motivated to conduct a large population-based study including 15,351 Swedish individuals with MGUS diagnosed 1986-2013. Methods Participants diagnosed with MGUS between 1986-2013 were recruited from a registry of a nationwide network of hematology- and oncology centers and the Swedish Patient Registry. We then cross-linked data on recorded diagnoses of AL and PN from the Swedish Patient Registry, diagnoses of lymphoproliferative disorders form the Swedish Cancer Registry, and dates of death from the Cause of Death Registry to our study cohort. Individuals with a previous history of other lymphoproliferative disorders were excluded from the study. A multi-state survival model was created. At inclusion, participants started providing person time into the PN or the non-PN states depending on whether they had a previous diagnosis of PN. Those with MGUS who developed PN after inclusion were included into the PN state at the time of PN diagnosis and provided person time in the PN state after that. We then created a Cox proportional hazard regression model with AL as the endpoint. Participants were censored at diagnosis of other lymphoproliferative disorders. We adjusted for sex, age, and year of MGUS diagnosis. Results We included 15,351 participants with MGUS. Of those, 996 participants provided person-time with PN (6.5%). About half of those had PN at MGUS diagnosis (55%). A total of 174 cases of AL were recorded, with AL being more common among those who had PN (2.1% vs 1.0% p=0.002). Those who had PN had a 2.3-fold increased risk of AL as compared to those who did not have PN (hazard ratio (HR): 2.3; 95% confidence interval (95% CI): 1.5-3.7; p<0.001). The results were similar for those who had PN at MGUS diagnosis and those who did not. More than half of AL cases (53%) were diagnosed within one year after MGUS diagnosis. The rate was even higher among those with PN, with 82% of AL cases among those who presented with PN being diagnosed within one year after MGUS diagnosis. In the first year after inclusion, the incidence of AL was 15.2 and 6.1 per 1000 person-years for participants with and without PN respectively (HR: 1.8; 95% CI:1.0-3.4; p=0.04). Participants with PN continued to have an increased risk of progression to AL after the first year with an incidence of AL of 2.6 per 1000 person-years as compared to 1.1 per 1000 person-years among participants who did not have PN (HR:2.4; 95% CI: 1.1-5.0; p=0.02) (Figure). Discussion In this large population-based study, including 15,351 individuals with MGUS, we found that individuals with MGUS who develop PN have an increased risk of progression to AL. In fact, individuals with MGUS who have PN at MGUS diagnosis might already have AL. This risk of AL was highest during the first year after MGUS diagnosis with participants with PN having a higher risk than those who did not have PN. PN continued to be associated with a higher risk of MGUS progression to AL throughout the study period. This is the largest study that we are aware of assessing the association of PN and MGUS progression to AL. Since this is a registry-based study based on recorded diagnoses, some clinical data, including MGUS isotype, is not available. These findings suggest that increased awareness of PN as a feature of MGUS might decrease diagnostic delay and improve outcomes for patients with AL. Figure Disclosures Landgren: Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Theradex: Other: IDMC; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Other: IDMC; Abbvie: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 945-945
Author(s):  
Cecilie Blimark ◽  
Ulf-Henrik Mellqvist ◽  
Ola Landgren ◽  
Magnus Björkholm ◽  
Malin L Hultcrantz ◽  
...  

Abstract Abstract 945 Background Infections are a major cause of morbidity and mortality in patients with multiple myeloma (MM). No large population-based evaluation has been made to assess the risk of infections in MM patients compared to the normal population. Therefore, we performed a large study, using population-based data from Sweden, to estimate the risk of bacterial and viral infections among 9,610 MM patients compared to 37,718 matched controls. Methods We gathered information on all MM patients reported to the nationwide Swedish Cancer Registry from 1988 to 2004, with follow-up to 2007. For each MM patient, four population-based controls (matched by age, sex, and county of residence) were identified randomly from the Swedish population database. Information on occurrence and date of infections was obtained from the centralized Swedish Patient registry that captures information on individual patient-based discharge diagnosis from inpatient (with very high coverage) and outpatient care (since 2000). Cox proportional hazard models were used to estimate the overall, one- and five-year risk of infections. In addition, the effect of gender, age and calendar period of diagnosis was evaluated. Hazard ratios (HRs) and confidence intervals (CIs) were calculated for the occurrence of different infections. Results Overall, MM patients had a 6-fold (HR= 5.9; 95% CI=5.7-6.1) risk of developing any infection compared to matched controls (Figure). The increased risk of developing a bacterial infection was 6-fold (HR=5.9; 95%; CI=5.6-6.1), and for viral infections 9-fold (HR=9.0; 95% CI=8.0-10.1), compared to controls. More specifically, MM patients had an increased risk (p<0.05) of the following bacterial infections: cellulitis (HR=2.6; 95% CI =2.2-3.1), osteomyelitis (HR=3.0; 95% CI 2.0–4.4), endocarditis (HR=4.4; 95% CI 2.9–6.6), meningitis (HR=14.5; 95% CI 9.1–23.0), pneumonia (HR=6.2; 95% CI 5.9–6.5), pyelonephritis (HR=2.5; 95% CI 2.1–3.0), and septicaemia (HR=13.7; 95% CI 12.5–14.9) and for the viral infections influenza (HR=5.4; 95% CI 4.4–6.7) and herpes zoster (HR=12.8; 95% CI 10.5–15.5). The risk of infections was highest during the first year after diagnosis; the risk of bacterial infections was 11-fold (95% CI 10.7–12.9) and the risk of viral infections was 18-fold (95% CI 13.5–24.4) higher compared to controls during the first year after diagnosis. MM patients diagnosed in the more recent calendar periods had significantly higher risk of infections, reflected in a 1.6-fold (95% CI=1.5-1.7) and 2-fold (95% CI=1.9-2.1) increased risk in patients diagnosed during 1994–1999 and 2000–2004, compared to patients diagnosed 1986–1993. Females had a significantly lower risk of infections compared to males (p<0.001). Increasing age was significantly associated with a higher risk of infections (p<0.001). Discussion In this large population-based study including over 9,000 MM patients and 35,000 matched controls, we found that bacterial and viral infections represent a major threat to myeloma patients. We found the risk of specific infections like pneumonia, and septicemia to be over ten times higher in patients than in controls during the first year after MM diagnosis. Importantly, the risk of infections increased in more recent years. The effect on infectious complications due to novel drugs in the treatment of MM needs to be established and trials on prophylactic measures are required. Disclosures: Mellqvist: Janssen, Celgene: Honoraria.


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