An exploratory study of sunitinib plus paclitaxel as first-line treatment for patients with advanced breast cancer.

BACKGROUND: Sunitinib has shown single-agent activity in patients with previously treated metastatic breast cancer (MBC). We investigated the safety of the combination of sunitinib and paclitaxel in an exploratory study of patients with locally advanced or MBC. METHODS: Patients received oral sunitinib 25 mg/day (with escalation to 37.5 mg/day as tolerated) on a continuous daily dosing schedule and paclitaxel 90 mg/m(2) on days 1, 8, and 15 of each 28-day cycle. Study endpoints included safety (primary endpoint), pharmacokinetics, and antitumor activity. RESULTS: Twenty-two patients were enrolled. The most frequent adverse events (AEs) were fatigue/asthenia (77%), dysgeusia (68%), and diarrhea (64%). Grade 3 AEs included neutropenia (43%), fatigue/asthenia (27%), neuropathy (18%), and diarrhea (14%). No drug-drug interaction was observed on the basis of pharmacokinetic analysis. Of 18 patients with measurable disease at baseline, 7 (38.9%) achieved objective responses (including 2 complete and 5 partial responses). Clinical responses were observed in three of nine patients with triple-negative receptor status (estrogen receptor negative, progesterone receptor negative, and human epidermal growth factor receptor-2 negative). CONCLUSIONS: These data indicate that sunitinib and paclitaxel in combination are well tolerated in patients with locally advanced or MBC. No drug-drug interaction was detected and there was preliminary evidence of antitumor activity.

Annual influenza vaccination: immune response in patients over 10 years.

OBJECTIVE: To determine the effect of repeated annual influenza immunization on the host's serum antibody. DESIGN: Ten year observational study with cohort design. SETTING: Cystic Fibrosis Center at St. Vincent's Hospital and Medical Center, New York City, NY. PATIENTS: Thirty-eight children and young adults with cystic fibrosis (CF). MEASUREMENTS: Serum hemagglutination inhibition (HI) antibody titers were determined at the time of vaccination and 4 weeks later each year in the fall before the influenza epidemic. Shwachman scores were determined each year. RESULTS: While the pre-vaccination and post-vaccination geometric mean serum HI antibody titers varied from year to year, no upward or downward trend was evident over the 10 year period. The reciprocal of the post-vaccination geometric mean HI titers ranged annually from 32 to 74 for the influenza A (H3N2) vaccine strains, from 53 to 133 for the influenza A (H1N1) strains, and from 18 to 174 for influenza B strains. In addition, the majority of vaccinees had a presumably protective post-vaccination serum HI titer > or = 1:40 each year for all three vaccine strains. The initial mean Shwachman score of the group was 77. The final score of 76 after 10 years was not significantly different. CONCLUSIONS: Annual influenza vaccination appears to regularly induce presumably protective serum antibody levels in most CF children and young adults studied over a 10 year period.

Use of severity-adjusted length of stay to modify physician practice patterns.

OBJECTIVE: To compare inpatient length of stay among physicians by testing a new method for severity adjusting length of stay. DESIGN: A retrospective validation study with prospective follow-up after an intervention. SETTING: A 531-bed community teaching hospital. PATIENTS: Three hundred randomly selected patients from the 30,861 patients discharged in 1990. INTERVENTION: A physician with a significantly prolonged severity-adjusted length of stay was counseled and then monitored for three months. RESULTS: The correlation between the number of comorbidities, complications, and manifestations of disease processes (CCMDPs) was R2 = 0.658, t = 23.96 (p = .001). One physician had an unusually high severity-adjusted length of stay, but lowered it after he was counseled and monitored for three months. CONCLUSIONS: The number of CCMDPs recorded on the hospital discharge abstract can be used as a severity index to adjust a patient's length of stay for illness severity. Using linear regression analysis, a picture of the severity-adjusted length of stay can be derived for physicians. Through counseling and monitoring, individual physicians' lengths of stay patterns may be reduced.