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12th Congress of the European Hematology ... - Haematologica

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12 th <strong>Congress</strong> <strong>of</strong> <strong>the</strong> <strong>European</strong> <strong>Hematology</strong> Association<br />

Infection and supportive care II<br />

0606<br />

INVASIVE FUNGAL SINUSITIS IN PATIENTS WITH STEM CELL TRANSPLANTS AND<br />

HEMATOLOGICAL DISEASE<br />

C.Y. Chen, Y.C. Chen, W. Tsay, W.C. Chou, J.L. Tang, H.F. Tien<br />

National Taiwan University Hospital, TAIPEI, Taiwan<br />

Background. Invasive fungal sinusitis (IFS) causes high morbidity and<br />

mortality in patients with stem cell transplants and hematological disease.<br />

Aims. We compared IFS diagnosis using EORTC / MSG-NIAID<br />

consensus criteria with physician-diagnosed IFS to determine <strong>the</strong> applicability<br />

in clinical study. The clinical characteristics and prognostic factors<br />

were correlated with invasive fungal sinusitis in patients <strong>of</strong> stem cell<br />

transplants and hematological disease. Methods. We searched <strong>the</strong> terms<br />

sinusitis and sinonasal infection in <strong>the</strong> discharge summary database <strong>of</strong> all<br />

patients admitted to <strong>the</strong> Department <strong>of</strong> Internal Medicine between January<br />

1995 and September 2006. The medical records were reviewed retrospectively.<br />

Results. Totally, 103 hematological patients were enrolled,<br />

including 39 with clinically diagnosed IFS and 64 with sinusitis. Forty<br />

patients met <strong>the</strong> criteria by EORTC / MSG-NIAID consensus, including<br />

15 with proven IFS, 16 with probable IFS, and 9 with possible IFS.<br />

Patients with acute myeloid leukemia and absolute neutrophil count<br />

10 days had a higher rate <strong>of</strong> IFS. Aspergillus flavus was<br />

isolated in 12 <strong>of</strong> 20 (60%) patients, and mucormycosis was found in 4<br />

<strong>of</strong> 20. Bony erosion and extra-sinus infiltration were found in 15 <strong>of</strong> 39<br />

patients with clinically diagnosed IFS by CT or MRI. Refractory or<br />

relapsed disease status was <strong>the</strong> most important prognostic factor in<br />

hematological disease with IFS. Even with anti-fungal <strong>the</strong>rapy and<br />

aggressive surgical debridement, 21 <strong>of</strong> 39 patients (53.8%) with clinically<br />

diagnosed IFS and 22 <strong>of</strong> 40 patients (55%) with IFS diagnosed by<br />

EORTC / MSG-NIAID criteria died. Summary and Conclusions. IFS diagnostic<br />

criteria by EORTC /MSG-NIAID can be applied in <strong>the</strong> clinical<br />

research. IFS is an ominous sign in <strong>the</strong> patients with refractory / relapsed<br />

hematological malignancy. More effective IFS treatment is needed in<br />

patients with stem cell transplants and hematological disease, and such<br />

treatment should be developed.<br />

0607<br />

SURVIVAL OF PATIENTS WITH HAEMATOLOGICAL MALIGNANCY ADMITTED TO THE<br />

INTENSIVE CARE UNIT: PROGNOSTIC FACTORS AND OUTCOME COMPARED TO<br />

UNSELECTED MEDICAL ICU ADMISSIONS<br />

Q. Hill, 1 A. Hill, 1 R. Kelly, 2 C. Patalappa, 2 A.M. Whittle, 1 A.J. Scally, 3<br />

A. Hughes, 4 A.J. Ashcr<strong>of</strong>t2 1 Leeds General Infirmary, LEEDS; 2 Pinderfields Hospital, WAKEFIELD; 3 Bradford<br />

University, BRADFORD; 4 Bradford Royal Infirmary, BRADFORD, United<br />

Kingdom<br />

Background. Cancer patients have historically had a very poor outcome<br />

following ICU admission. Outcome has however improved over<br />

<strong>the</strong> last decade. Aims. To identify factors which predict survival for critically<br />

ill patients with haematological malignancy and which can be<br />

readily identified prior to admission. This would improve selection <strong>of</strong><br />

patients suitable for ICU admission, which represents a limited resource.<br />

We also assessed <strong>the</strong> ability <strong>of</strong> <strong>the</strong> APACHE II score to predict prognosis<br />

in <strong>the</strong>se patients. Methods. Since <strong>the</strong> ICU admission case mix will vary<br />

between hospitals, one non-surgical admission within ± 1 week <strong>of</strong> each<br />

haematological admission acted as a control group. Factors which might<br />

affect outcome were assessed by multivariate regression analysis. Factors<br />

included were age, haematological diagnosis (acute or chronic<br />

leukemia, myeloma, lymphoma), time from haematological diagnosis to<br />

ICU admission (0-6 months, 6-12 months, >12 months), degree <strong>of</strong> prior<br />

treatment (admission prior to diagnosis, during first line <strong>the</strong>rapy, after<br />

first line), remission status, prior stem cell transplant, documented infection<br />

and length <strong>of</strong> neutropenia (none, 1-10 days, >10 days). Predicted<br />

hospital mortality was calculated from <strong>the</strong> APACHE II score by <strong>the</strong> formula<br />

<strong>of</strong> Knaus et al (Critical Care Medicine 1985) for haematology<br />

patients. The APACHE scores <strong>of</strong> haematology patients were compared<br />

to controls by a two-sample t test. Predicted and actual mortalities were<br />

compared using a one sample test <strong>of</strong> proportion. The impact <strong>of</strong> mechanical<br />

ventilation (MV) on mortality was assessed by risk ratios. Results. We<br />

identified 111 patients with haematological malignancy (acute leukemia<br />

n=42, chronic leukemia n=11, myeloma n=19 and lymphoma n=39)<br />

admitted to ICU in one teaching and three district general hospitals<br />

(November 2000 - January 2006). Median age <strong>of</strong> haematological patients<br />

226 | haematologica/<strong>the</strong> hematology journal | 2007; 92(s1)<br />

was 59 years (range 17-84) and M:F ratio 1.22:1. Control patients (n=111)<br />

were similar with median age 63 years (range 17-86) and M: F ratio<br />

1.09:1. For control patients, overall ICU and hospital survival rates were<br />

70% and 55% respectively while survival for haematology patients was<br />

approximately half at 44% and 24% respectively. In multivariate regression<br />

analysis, only increasing age (p=0.016) and documented infection<br />

(p=0.016) predicted poor outcome. All o<strong>the</strong>r variables were not significant.<br />

APACHE scores were significantly higher in haematology patients<br />

(median 27) compared to controls (median 19) p

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