Measured weight loss as a precursor to cancer diagnosis: retrospective cohort analysis of 43 302 primary care patients.

BACKGROUND: Unexpected weight loss is a presenting feature of cancer in primary care. Data from primary care are lacking to quantify how much weight loss over what period should trigger further investigation for cancer. This research aimed to quantify cancer diagnosis rates associated with measured weight change in people attending primary care. METHODS: Retrospective cohort study of primary care electronic health records data linked to the Surveillance, Epidemiology, and End Results cancer registry (Integrated healthcare delivery system in Washington State, United States). Multivariable Cox regression incorporating time varying covariates using splines to model non-linear associations (age, percentage weight change, and weight change interval). Fifty thousand randomly selected patients aged 40 years and over followed for up to 9 years (1 January 2006 to 31 December 2014). Outcome measures are hazard ratios (95% confidence intervals) to quantify the association between percentage weight change and cancer diagnosis for all cancers combined, individual cancer sites and stages; percentage risk of cancer diagnosis within 6 months of the end of each weight change episode; and the positive predictive value for cancer diagnosis. RESULTS: There were 43 302 included in the analysis after exclusions. Over 287 858 patient-years of follow-up, including 24 272 (56.1%) females, 23 980 (55.4%) aged 40 to 59 years, 15 113 (34.9%) 60 to 79 years, and 4209 (9.7%) aged 80 years and over. Adjusted hazard ratios (95% confidence interval) for cancer diagnosis in a 60 years old ranged from 1.04 (1.02 to 1.05, P < 0.001) for 1% weight loss to 1.44 (1.23 to 1.68, P < 0.001) for 10%. An independent linear association was observed between percentage weight loss and increasing cancer risk. The absolute risk of cancer diagnosis increased with increasing age (up to 85 years) and as the weight change measurement interval decreased (<1 year). The positive predictive value for a cancer diagnosis within 1 year of ≥5% measured weight loss in a 60 to 69 years old was 3.41% (1.57% to 6.37%) in men and 3.47% (1.68% to 6.29%) in women. The risk of cancer diagnosis was significantly increased for pancreatic, myeloma, gastro-oesophageal, colorectal, breast, stage II and IV cancers. CONCLUSIONS: Weight loss is a sign of undiagnosed cancer regardless of the interval over which it occurs. Guidelines should resist giving an arbitrary cut-off for the interval of weight loss and focus on the percentage of weight loss and the patient's age. Future studies should focus on the association between diagnostic evaluation of weight change and risk of cancer mortality.

Treatment of Pharyngitis in Uninsured Patients: A Multicenter Study of Free Clinics.

Introduction Appropriate antibiotic prescription practices for pharyngitis slow anti-microbial resistance. Unnecessary antibiotic prescribing and non-adherence to practice guidelines remain a clinical problem. The objective of this study was to examine the relationship between group A Streptococcus (GAS) throat culture testing and antibiotic prescriptions at 10 free clinics in the Tampa Bay Area serving the uninsured population. Methods A retrospective cohort study was conducted using data from patient charts from January 2018 to December 2019. We obtained data regarding a chief complaint related to strep pharyngitis: sore throat, enlarged tonsils, pharyngeal erythema, and/or cervical lymphadenopathy. The frequency and relative proportions of throat swab administration and antibiotic prescription were also analyzed. Results Of the 12,005 patients serviced during the study period, 245 (2.0%) reported one or more of the chief complaints related to strep pharyngitis. Of the patients reporting pharyngitis, the mean age was 40.2 years, with 66% being female. Of the patients receiving antibiotics for pharyngitis symptoms, 93 (91.2%) did not receive a throat swab. Patients receiving a throat swab showed a significantly increased odds of antibiotic prescription (OR=3.4, 95% CI: 1.1-12.7). Patients reporting symptoms of pharyngitis commonly had other comorbidities, including smoking (14.7%) and diabetes (13.5%). Conclusion The large proportion of patients receiving antibiotics for pharyngitis symptoms reveals the need for provider counseling on current recommendations of antibiotic prescription practices, which state that a throat swab with a rapid antigen detection test and/or culture should be performed for all patients where bacterial symptoms of rhinorrhea, cough, and/or oral ulcers are present. Another potential area of improvement indicated by this study may be providing additional supplies of throat swabs for these underserved clinics. Further research is needed to understand the root causes of providers' non-compliant prescribing patterns in the free clinics and to assess the role of the uninsured population in reducing anti-microbial resistance.

Outreach and Reminders to Improve Human Papillomavirus Vaccination in an Integrated Primary Care System.

This study evaluated the impact of health system-based outreach and reminders on human papillomavirus (HPV) vaccine series initiation and completion. Parents of 10 to 12 year olds (n = 1805) were randomized to receive either (1) an outreach letter and brochure recommending HPV vaccination followed by automated HPV vaccine reminders or (2) usual care. We interviewed a subset of 50 parents to assess program acceptability. Outcomes were HPV vaccine initiation during the study period and on-time series completion. Rates of HPV vaccine initiation during the study period (July 2015 to August 2016) were similar between the intervention and control groups, but initiation within 120 days of randomization was higher in the intervention group (23.6% and 18.8%, P = .04) as was completion during the study period (10.3% vs 6.8%, P = .04). Reminders for doses 2 and 3 did not affect completion. The program was acceptable to parents. This study provides evidence that health system-based outreach and reminders can improve HPV vaccination.

Optimizing hepatitis C virus treatment through pharmacist interventions: Identification and management of drug-drug interactions.

AIM: To quantify drug-drug-interactions (DDIs) encountered in patients prescribed hepatitis C virus (HCV) treatment, the interventions made, and the time spent in this process. METHODS: As standard of care, a clinical pharmacist screened for DDIs in patients prescribed direct acting antiviral (DAA) HCV treatment between November 2013 and July 2015 at the University of Colorado Hepatology Clinic. HCV regimens prescribed included ledipasvir/sofosbuvir (LDV/SOF), paritaprevir/ritonavir/ombitasvir/dasabuvir (OBV/PTV/r + DSV), simeprevir/sofosbuvir (SIM/SOF), and sofosbuvir/ribavirin (SOF/RBV). This retrospective analysis reviewed the work completed by the clinical pharmacist in order to measure the aims identified for the study. The number and type of DDIs identified were summarized with descriptive statistics. RESULTS: Six hundred and sixty four patients (83.4% Caucasian, 57% male, average 56.7 years old) were identified; 369 for LDV/SOF, 48 for OBV/PTV/r + DSV, 114 for SIM/SOF, and 133 for SOF/RBV. Fifty-one point five per cent of patients were cirrhotic. Overall, 5217 medications were reviewed (7.86 medications per patient) and 781 interactions identified (1.18 interactions per patient). The number of interactions were fewest for SOF/RBV (0.17 interactions per patient) and highest for OBV/PTV/r + DSV (2.48 interactions per patient). LDV/SOF and SIM/SOF had similar number of interactions (1.28 and 1.48 interactions per patient, respectively). Gastric acid modifiers and vitamin/herbal supplements commonly caused interactions with LDV/SOF. Hypertensive agents, analgesics, and psychiatric medications frequently caused interactions with OBV/PTV/r + DSV and SIM/SOF. To manage these interactions, the pharmacists most often recommended discontinuing the medication (28.9%), increasing monitoring for toxicities (24.1%), or separating administration times (18.2%). The pharmacist chart review for each patient usually took approximately 30 min, with additional time for more complex patients. CONCLUSION: DDIs are common with HCV medications and management can require medication adjustments and increased monitoring. An interdisciplinary team including a clinical pharmacist can optimize patient care.