innovations conference 2014 md hamidul huque population based assessment of chemotherapy
DESCRIPTION
Md. Hamidul Huque - Population-based Assessment of Chemotherapy Associated Febrile Neutropenia hospitalisation and Aligned Bacterial/fungal Infections Among Adult Cancer Patients in NSW, Australia 2006-2007TRANSCRIPT
Chemotherapy associated infections among adult cancer patients in NSW,
Australia 2006-2007
Md Hamidul Huque
University of Technology, Sydney
Co-authors: Nicole Gilroy; Richard Walton; Samuel Woolford; Louise Ryan and David Currow.
Background• Infections are the leading causes of disease burden in cancer
patients 1. • Chemotherapy and complicating infections accounted for
more than 40% of cancer-related hospital admissions in
Australia during 2011-122. • Febrile Neutropenia (FN) is the most common infection-related
syndrome in patients receiving chemotherapy1,3-8. • Little data is available in the Australian population context.
Febrile Neutropenia
• Blood disorder (neutrophil count <0.5 × 109/l) associated
with fever.
• Major cause of infections among cancer patients who receive
chemotherapy1-7.
• Higher incidence of hospitalization and mortality irrespective
of cancer types5.
• Causes chemotherapy dose reduction and delays
– compromised treatment outcome
– Increase health care costs3,4,6.
Research Objective
Summarize the burden of serious infections in adult cancer patients (age ≥ 20 years) receiving myelosuppressive chemotherapy using administrative data.
Understand the organisms complicating chemotherapy associated infections.
METHODOLOGYAnalysis of administrative data
Data source : Master Linked Data Set
Clinical Cancer Registry
Jan 2006 - Dec 2010453,295 records
Central Cancer Registry
Jan 1994 - Dec 2009540,832 records
Admitted Patient Data CollectionJul 2000- Dec 201332,029,904 records
Mortality data (ABS)Jan 1985 - Dec 20071,020,798 records
Intersecting periodJan 2006-Dec 2007
Study PopulationCentral Cancer Registry
(CCR)(n=76320)
Clinical Cancer Registry(ClinCR)
(n=32694)
Treatment modality: Medical oncology and Hematology
(n=13198)
Protocol informationYes:
(n=9637)
CCR and ClinCR: Matched
(n=6405)
Systemic therapy protocol Yes:
(n=6984)
ABS Mortality
(n=33484)
Admitted Patient Data (APDC)
(n=253694)
CCR, ClinCR and APDC: Matched
(n=6265)
CCR, ClinCR, APDC and ABS Mortality:
Matched (n=1409)
Chemo cycle InfoYes:
(n=6855)
Operational definitions
• Neutropenia– ICD10 code ‘D70’ (Agranulocytosis).
• Infections – Many definitions.– No single ICD10 codes. – Broad definition (~144 ICD10 codes).
• Comorbidity Score– Charlson’s Comorbidity index excluding cancer
categories9.
RESULTSLinked data analysis
DEMOGRAPHICS & CLINICAL CHARACTERISTICS
Study population by cancer diagnosis
Breast Lung
Colon/ rectu
m
Non acute HM
Acute Le
ukemia
...Oth
er0
400
800
1200
1600
2000
1114852
11881003
192
1916
Cancer types
Tota
l
Total
18%
14%
19%
16%
3%
31%
The study population: socio-demographic characteristics
Breast (%)
N=1114
Lung (%)
N=852
Colon/ Rectum (%)N=1188
Non Acute HM (%)N=1003
Acute HM and BMT (%)N=192
Other (%)
N=1916
Female 99.6 40.4 41.6 40.3 40.6 44.0
Age at diagnosis20-<40 years40-<50 years50-<60 years60-<70 years70-<80 years
>=80 years
10.329.529.222.9
6.31.8
2.06.1
21.733.230.9
6.1
3.18.5
21.832.228.2
6.1
11.99.6
17.721.427.012.5
22.914.622.927.1
9.43.1
7.412.522.428.722.8
6.3
SEIFA LowestSecondMiddleFourth
Highest
22.823.816.321.116.1
19.819.518.925.216.6
19.522.416.724.616.8
28.916.817.223.513.7
32.819.319.319.8
8.9
25.221.515.023.814.5
The study population: Treatment and clinical characteristicsBreast (%)
N=1114
Lung (%)
N=852
Colon/ Rectum (%)N=1188
Non Acute HM (%)N=1003
Acute HM and BMT (%)N=192
Other (%)
N=1916
Degree of spread Localized Regional Distant
33.658.3
5.0
10.827.652.5
14.746.227.2
0.90.30.6
1.00.00.0
23.924.228.2
Treatment Chemo only Chemo + Surgery Chemo + Radio Ch + Radio + Sug
10.021.720.048.3
33.013.737.216.1
17.650.1
7.424.9
48.024.617.7
9.8
51.026.015.1
7.8
27.930.419.122.6
>1 protocol 32.2 17.2 19.2 20.7 54.2 18.5
>1 comorbidity 11.3 42.3 30.6 41.6 35.4 36.9
OUTCOMES AND CORRELATES
Distribution: Infections and neutropenia by cancer diagnosis
Breast Lung
Colon/ rectu
m
Non acute HM
Acute Le
ukemia
...Oth
erTotal
0
20
40
60
80
100
21
4228
46
92
32 35
13 164
29
85
915
InfectionsNeutropenia
Cancer types
Prop
ortio
n
Outcome: Infections and neutropenia
CCR, ClinCR and APDC: Matched
(n=6265)
Neutropenia withInfections
13.9% (n=871)
Neutropenia withoutInfections
1.4% (n=88)
No neutropenia butInfection
20.8% (n=1304)
No Neutropenia and no infections
63.9% (n=4002)
Multivariate logistic regression examining predictors of infection
ORGANISMS PROFILE
Distribution of organisms
Breast Lung Colon/ rectum
Non acute HM
Acute Leukemia and BMT
Other Total0
20
40
60
80
100
2215
29 31
49
25 2713 19
27 2533
24 23
0 1 0 2 5 0 1
Gram positiveGram negativeFungal
Prop
ortio
n
Gram positive organisms
Breast Lung
Colon/ rectu
m
Non acute HM
Acute Le
ukemia
a...
Other
Total0
20
40
60
80
100
18
7
17 1419
15 14
2 4 410
27
4 7
StreptococcusStaph aureusOther staph
Cancer types
Prop
ortio
n
Gram negative organisms
Breast Lung Colon/ rectum
Non acute HM
Acute Leukemia and BMT
Other0
20
40
60
80
100
11 1221 16 19 16
E. ColiK. Pneumoniaeother gram negative
Cancer types
Prop
ortio
n
PROFILE OF NEUTROPENIC INFECTIONS
Multivariate logistic regression for factor associated with neutropenic infections
Profile of Infections
•Pneumonia, unspecified•Unrinary track infections•Escherichia Coli•Stapylococcus Aureas
Neutropenia No neutropenia
•Fever, Unspecified•Other specified fever•Implant infections•Pseudomonas•Unspecified gram negative org.•Sepsis • Unspecified• Gram negative• Other and specified
staphylococcus
Summary• Hematologic malignancy, higher comorbidity scores, use of
>1 protocols and presence of neutropenia pose a significant risk of infections.
• Prevalence of Gram positve infections was significantly higher compared to the gram negative infections.
• Fever, sepsis and Impant infections were associated with neutropenic infections whereas non neutropenic infections was common among patient with respiratory infections and UTI.
• Psedomonas sp and unspecified gram negative organisms were significantly associated with neutropenic infections.
References1. National Comprehensive Cancer Network, Inc 2013. NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines):
Prevention and treatment of cancer-related infections. V. 1.2013. NCCN.org.2. AIHW & AACR 2012. Cancer in Australia: an overview 2012. Cancer series no. 74. Cat. no. CAN 70. Canberra: AIHW.3. Aapro M, Bohlius J, Cameron D, et al. 2010 update of EORTC guidelines for the use of granulocyte-colony stimulating
factor to reduce the incidence of chemotherapy-induced febrile neutropenia in adult patients with lymphoproliferative disorders and solid tumours. European journal of cancer. 2011;47(1):8-32.
4. Crawford J, Dale DC, Lyman GH. Chemotherapy induced neutropenia. ‐ Cancer. 2004;100(2):228-237.5. Kuderer NM, Dale DC, Crawford J, Cosler LE, Lyman GH. Mortality, morbidity, and cost associated with febrile
neutropenia in adult cancer patients. Cancer. 2006;106(10):2258-2266.6. Lyman GH, Michels SL, Reynolds MW, Barron R, Tomic KS, Yu J. Risk of mortality in patients with cancer who experience
febrile neutropenia. Cancer. 2010;116(23):5555-5563.7. Smith TJ, Khatcheressian J, Lyman GH, et al. 2006 update of recommendations for the use of white blood cell growth
factors: an evidence-based clinical practice guideline. Journal of Clinical Oncology. 2006;24(19):3187-3205.8. Wood AJ, Pizzo PA. Management of fever in patients with cancer and treatment-induced neutropenia. New England
Journal of Medicine. 1993;328(18):1323-1332.9. Thygesen SK, Christiansen CF, Christensen S, Lash TL, Sørensen HT. The predictive value of ICD-10 diagnostic coding
used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients. BMC medical research methodology. 2011;11(1):83.
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