Opportunistic CT Screening-Machine Learning Algorithm Identifies Majority of Vertebral Compression Fractures: A Cohort Study.

Vertebral compression fractures (VCF) are common in patients older than 50 years but are often undiagnosed. Zebra Medical Imaging developed a VCF detection algorithm, with machine learning, to detect VCFs from CT images of the chest and/or abdomen/pelvis. In this study, we evaluated the diagnostic performance of the algorithm in identifying VCF. We conducted a blinded validation study to estimate the operating characteristics of the algorithm in identifying VCFs using previously completed CT scans from 1200 women and men aged 50 years and older at a tertiary-care center. Each scan was independently evaluated by two of three neuroradiologists to identify and grade VCF. Disagreements were resolved by a senior neuroradiologist. The algorithm evaluated the CT scans in a separate workstream. The VCF algorithm was not able to evaluate CT scans for 113 participants. Of the remaining 1087 study participants, 588 (54%) were women. Median age was 73 years (range 51-102 years; interquartile range 66-81). For the 1087 algorithm-evaluated participants, the sensitivity and specificity of the VCF algorithm in diagnosing any VCF were 0.66 (95% confidence interval [CI] 0.59-0.72) and 0.90 (95% CI 0.88-0.92), respectively, and for diagnosing moderate/severe VCF were 0.78 (95% CI 0.70-0.85) and 0.87 (95% CI 0.85-0.89), respectively. Implementing this VCF algorithm within radiology systems may help to identify patients at increased fracture risk and could support the diagnosis of osteoporosis and facilitate appropriate therapy. © 2023 Amgen, Inc. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Development and Validation of Algorithms to Identify COVID-19 Patients Using a US Electronic Health Records Database: A Retrospective Cohort Study.

Introduction: In order to identify and evaluate candidate algorithms to detect COVID-19 cases in an electronic health record (EHR) database, this study examined and compared the utilization of acute respiratory disease codes from February to August 2020 versus the corresponding time period in the 3 years preceding. Methods: De-identified EHR data were used to identify codes of interest for candidate algorithms to identify COVID-19 patients. The number and proportion of patients who received a SARS-CoV-2 reverse transcriptase polymerase chain reaction (RT-PCR) within ±10 days of the occurrence of the diagnosis code and patients who tested positive among those with a test result were calculated, resulting in 11 candidate algorithms. Sensitivity, specificity, and likelihood ratios assessed the candidate algorithms by clinical setting and time period. We adjusted for potential verification bias by weighting by the reciprocal of the estimated probability of verification. Results: From January to March 2020, the most commonly used diagnosis codes related to COVID-19 diagnosis were R06 (dyspnea) and R05 (cough). On or after April 1, 2020, the code with highest sensitivity for COVID-19, U07.1, had near perfect adjusted sensitivity (1.00 [95% CI 1.00, 1.00]) but low adjusted specificity (0.32 [95% CI 0.31, 0.33]) in hospitalized patients. Discussion: Algorithms based on the U07.1 code had high sensitivity among hospitalized patients, but low specificity, especially after April 2020. None of the combinations of ICD-10-CM codes assessed performed with a satisfactory combination of high sensitivity and high specificity when using the SARS-CoV-2 RT-PCR as the reference standard.

Trends in characteristics and outcomes among US adults hospitalised with COVID-19 throughout 2020: an observational cohort study.

OBJECTIVES: To examine the temporal patterns of patient characteristics, treatments used and outcomes associated with COVID-19 in patients who were hospitalised for the disease between January and 15 November 2020. DESIGN: Observational cohort study. SETTING: COVID-19 subset of the Optum deidentified electronic health records, including more than 1.8 million patients from across the USA. PARTICIPANTS: There were 51 510 hospitalised patients who met the COVID-19 definition, with 37 617 in the laboratory positive cohort and 13 893 in the clinical cohort. PRIMARY AND SECONDARY OUTCOME MEASURES: Incident acute clinical outcomes, including in-hospital all-cause mortality. RESULTS: Respectively, 48% and 49% of the laboratory positive and clinical cohorts were women. The 50- 65 age group was the median age group for both cohorts. The use of antivirals and dexamethasone increased over time, fivefold and twofold, respectively, while the use of hydroxychloroquine declined by 98%. Among adult patients in the laboratory positive cohort, absolute age/sex standardised incidence proportion for in-hospital death changed by -0.036 per month (95% CI -0.042 to -0.031) from March to June 2020, but remained fairly flat from June to November, 2020 (0.001 (95% CI -0.001 to 0.003), 17.5% (660 deaths /3986 persons) in March and 10.2% (580/5137) in October); in the clinical cohort, the corresponding changes were -0.024 (95% CI -0.032 to -0.015) and 0.011 (95% CI 0.007 0.014), respectively (14.8% (175/1252) in March, 15.3% (189/1203) in October). Declines in the cumulative incidence of most acute clinical outcomes were observed in the laboratory positive cohort, but not for the clinical cohort. CONCLUSION: The incidence of adverse clinical outcomes remains high among COVID-19 patients with clinical diagnosis only. Patients with COVID-19 entering the hospital are at elevated risk of adverse outcomes.

Coronary artery calcium scores indicating secondary prevention level risk: Findings from the CAC consortium and FOURIER trial.

BACKGROUND AND AIMS: Coronary artery calcium (CAC) burden displays a stepwise association with atherosclerotic cardiovascular disease (ASCVD) risk. Among primary prevention patients, we sought to determine the CAC scores equivalent to ASCVD mortality rates observed in the FOURIER trial, a modern secondary prevention cohort. METHODS AND RESULTS: For the main analysis, we included participants from the CAC Consortium ≥50 years old with a 10-year ASCVD risk ≥7.5% (n = 20,207). Poisson regression was used to define the relationship between CAC and annual ASCVD mortality. Equations generated from the regression models were then used to derive CAC scores associated with equivalent annual ASCVD mortality as observed in FOURIER placebo participants from the overall trial and in key trial subgroups. The CAC Consortium participants had a similar age (65.5 versus 62.5 years) and sex (22% versus 24% female) distribution as FOURIER. The annualized ASCVD mortality rate in FOURIER participants (0.766 per 100 person-years) corresponded to a CAC score of 781 (418-1467). A CAC score of 255 (162-394) corresponded to an ASCVD mortality rate equivalent to the lowest risk FOURIER subgroup (presence of myocardial infarction >2 years prior to trial enrollment). No CAC score produced a risk equivalent to high-risk FOURIER subgroups, particularly those with symptomatic peripheral arterial disease and/or multivessel coronary heart disease. CONCLUSIONS: Primary prevention individuals with increased CAC burden may have annualized ASCVD mortality rates equivalent to persons with stable secondary prevention-level risk. These findings argue for a risk continuum between higher risk primary prevention and stable secondary prevention patients, as their ASCVD risks may overlap.

The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study.

BACKGROUND: The current COVID-19 pandemic is unprecedented; under resource-constrained settings, predictive algorithms can help to stratify disease severity, alerting physicians of high-risk patients; however, there are only few risk scores derived from a substantially large electronic health record (EHR) data set, using simplified predictors as input. OBJECTIVE: The objectives of this study were to develop and validate simplified machine learning algorithms that predict COVID-19 adverse outcomes; to evaluate the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and calibration of the algorithms; and to derive clinically meaningful thresholds. METHODS: We performed machine learning model development and validation via a cohort study using multicenter, patient-level, longitudinal EHRs from the Optum COVID-19 database that provides anonymized, longitudinal EHR from across the United States. The models were developed based on clinical characteristics to predict 28-day in-hospital mortality, intensive care unit (ICU) admission, respiratory failure, and mechanical ventilator usages at inpatient setting. Data from patients who were admitted from February 1, 2020, to September 7, 2020, were randomly sampled into development, validation, and test data sets; data collected from September 7, 2020, to November 15, 2020, were reserved as the postdevelopment prospective test data set. RESULTS: Of the 3.7 million patients in the analysis, 585,867 patients were diagnosed or tested positive for SARS-CoV-2, and 50,703 adult patients were hospitalized with COVID-19 between February 1 and November 15, 2020. Among the study cohort (n=50,703), there were 6204 deaths, 9564 ICU admissions, 6478 mechanically ventilated or EMCO patients, and 25,169 patients developed acute respiratory distress syndrome or respiratory failure within 28 days since hospital admission. The algorithms demonstrated high accuracy (AUC 0.89, 95% CI 0.89-0.89 on the test data set [n=10,752]), consistent prediction through the second wave of the pandemic from September to November (AUC 0.85, 95% CI 0.85-0.86) on the postdevelopment prospective test data set [n=14,863], great clinical relevance, and utility. Besides, a comprehensive set of 386 input covariates from baseline or at admission were included in the analysis; the end-to-end pipeline automates feature selection and model development. The parsimonious model with only 10 input predictors produced comparably accurate predictions; these 10 predictors (age, blood urea nitrogen, SpO2, systolic and diastolic blood pressures, respiration rate, pulse, temperature, albumin, and major cognitive disorder excluding stroke) are commonly measured and concordant with recognized risk factors for COVID-19. CONCLUSIONS: The systematic approach and rigorous validation demonstrate consistent model performance to predict even beyond the period of data collection, with satisfactory discriminatory power and great clinical utility. Overall, the study offers an accurate, validated, and reliable prediction model based on only 10 clinical features as a prognostic tool to stratifying patients with COVID-19 into intermediate-, high-, and very high-risk groups. This simple predictive tool is shared with a wider health care community, to enable service as an early warning system to alert physicians of possible high-risk patients, or as a resource triaging tool to optimize health care resources.

Ultra slow acoustic energy transport in dense fish aggregates.

A dramatic slowing down of acoustic wave transport in dense fish shoals is observed in open-sea fish cages. By employing a multi-beam ultrasonic antenna, we observe the coherent backscattering phenomenon. We extract key parameters of wave transport such as the transport mean free path and the energy transport velocity of diffusive waves from diffusion theory fits to the experimental data. The energy transport velocity is found to be about 10 times smaller than the speed of sound in water, a value that is exceptionally low compared with most observations in acoustics. By studying different models of the fish body, we explain the basic mechanism responsible for the observed very slow transport of ultrasonic waves in dense fish shoals. Our results show that, while the fish swim bladder plays an important role in wave scattering, other organs have to be considered to explain ultra-low energy transport velocities.

Derivation of a Coronary Age Calculator Using Traditional Risk Factors and Coronary Artery Calcium: The Multi-Ethnic Study of Atherosclerosis.

Background The optimal method for communicating coronary heart disease (CHD) risk to individual patients is not yet clear. Recent research supports the concept of "coronary age" for more effective risk communication. We defined an individual's coronary age as the age at which an average healthy individual would have an equivalent estimated CHD risk as that calculated for the index individual, building on our previously validated MESA (Multi-Ethnic Study of Atherosclerosis) 10-year CHD Risk Score equations with and without coronary artery calcium (CAC). Methods and Results We derived a coronary age by (1) calculating the MESA 10-year CHD risk; (2) mathematically setting this equal to an equation describing risk of an average healthy MESA participant, as a function of age; and (3) solving for age. The risk discrimination of the resultant coronary age was compared with that of chronological age, the MESA CHD Risk Score, and CAC alone. Approximately 95% of coronary age values ranged from 30 years less to 30 years higher than chronological age. Although the mean chronological age of individuals experiencing CHD events compared with those free of events was 67.4 versus 61.8 years, the difference in coronary age including CAC was larger (80.6 versus 62.8 years). Coronary age with CAC had identical predictive ability to that of MESA CHD Risk Score and outperformed chronological age and CAC alone. Conclusions The newly derived coronary age is a convenient transformation of MESA CHD Risk, retaining very good risk discrimination. This easy-to-communicate tool will be available for patients and clinicians, potentially facilitating risk communication in routine care.

A Study of Novel Febrile Neutropenia Risk Factors Related to Bone Marrow or Immune Suppression, Barrier Function, and Bacterial Flora.

Background: Previously identified patient-level risk factors for chemotherapy-induced febrile neutropenia (FN) indicate several potential underlying pathogenic mechanisms, including bone marrow suppression, impaired neutrophil function, or disturbances of barrier function. This study evaluated whether additional clinical characteristics related to these pathogenic mechanisms were risk factors for FN. Patients and Methods: The study population included patients diagnosed with non-Hodgkin's lymphoma or breast, lung, colorectal, ovarian, or gastric cancer between 2000 and 2009 at Kaiser Permanente Southern California and treated with myelosuppressive chemotherapy. Those who received prophylactic granulocyte colony-stimulating factor or antibiotics were excluded. Potential risk factors of interest included surgery, radiation therapy, selected dermatologic/mucosal conditions, and use of antibiotics and corticosteroids. All data were collected using electronic medical records. Multivariable Cox models were used to evaluate associations between these factors and risk of FN in the first chemotherapy cycle, and adjusted using propensity score-based functions. Results: A total of 15,971 patients were included. Of these, 4.3% developed FN in the first chemotherapy cycle. Use of corticosteroids was significantly associated with increased risk of FN (adjusted hazard ratio [aHR], 1.53; 95% CI, 1.17-1.98). Selected dermatologic/mucosal conditions and intravenous antibiotic use were marginally associated with increased risk of FN (aHR, 1.40; 95% CI, 0.98-1.93, and 1.35; 95% CI, 0.97-1.87, respectively). Surgery, radiation therapy, and oral antibiotic use were not statistically significantly associated with FN. Conclusions: Dermatologic or mucosal conditions that might affect barrier integrity and use of corticosteroids and intravenous antibiotics prior to chemotherapy may increase risk of FN and should be considered in prophylaxis use and FN prediction modeling.

Value of incorporating newly identified risk factors into risk prediction for chemotherapy-induced febrile neutropenia.

Several comorbidities have recently been shown to affect risk of chemotherapy-induced febrile neutropenia (FN). Here, we evaluated the added predictive value of these comorbidities beyond established FN risk factors. A retrospective cohort study was conducted among adult patients diagnosed with cancer and treated with chemotherapy at Kaiser Permanente Southern California between 2000 and 2009. The study cohort was equally split into training and validation datasets to develop and evaluate the performance of FN risk prediction models in the first chemotherapy cycle. A reference model was developed based on the model proposed by Lyman et al (Cancer 2011;117:1917). A new model was developed by incorporating the newly identified comorbidities such as rheumatoid conditions and thyroid disorders into the reference model. Area under the receiver operating characteristic curve (AUROCC), risk reclassification, and integrated discrimination improvement (IDI) were used to evaluate the potential improvement of FN risk prediction by incorporating comorbidities. A total of 15 279 patients were included; 4.2% experienced FN in the first chemotherapy cycle. Including comorbidities in FN risk prediction did not improve AUROCC (reference model 0.71 vs new model 0.72). A significant improvement in individual-level FN risk prediction was indicated by IDI (P = .02). However, significant improvement in risk reclassification was not observed overall (although 6% of all patients were more accurately classified for their FN risk level, 5% were less accurately classified) or when examining predicted FN risk among patients who did and did not develop FN. Incorporating several new comorbidities into FN prediction led to improved FN risk prediction in the first chemotherapy cycle, although the observed improvements were small and might not be clinically relevant.

Impact of Strong Scattering Resonances on Ballistic and Diffusive Wave Transport.

The strong impact of scattering resonances on all the key transport parameters of classical waves in disordered media is demonstrated through ultrasonic experiments on monodisperse emulsions. Through accurate measurements of both ballistic and diffusive transport over a wide range of frequencies, we show that the group velocity is large near sharp resonances, whereas the energy velocity (as well as the diffusion coefficient) is significantly slowed down by resonant scattering delay. Excellent agreement between theory and experiment is found, elucidating the effects of resonant scattering on wave transport in both acoustics and optics.

Risk of Febrile Neutropenia Associated With Select Myelosuppressive Chemotherapy Regimens in a Large Community-Based Oncology Practice.

Background: NCCN has classified commonly used chemotherapy regimens into high (>20%), intermediate (10%-20%), or low (<10%) febrile neutropenia (FN) risk categories based primarily on clinical trial evidence. Many chemotherapy regimens, however, remain unclassified by NCCN or lack FN incidence data in real-world clinical practice. Patients and Methods: We evaluated incidence proportions of FN and grade 4 and 3/4 neutropenia during the first chemotherapy course among patients from Kaiser Permanente Southern California who received selected chemotherapy regimens without well-established FN risk. Patients given granulocyte colony-stimulating factor (G-CSF) prophylaxis were excluded. Sensitivity analyses were performed to account for FN misclassification and censoring. Results: From 2008 to 2013, 1,312 patients with breast cancer who received docetaxel and cyclophosphamide (TC; n=853) or docetaxel, carboplatin, and trastuzumab (TCH; n=459); 1,321 patients with colorectal cancer who received capecitabine and oxaliplatin (XELOX; n=401) or leucovorin, 5-fluorouracil, and oxaliplatin (FOLFOX6; n=920); 307 patients with non-Hodgkin's lymphoma who received bendamustine with or without rituximab; and 181 patients with multiple myeloma who received lenalidomide with or without dexamethasone were included. Crude FN risk was >20% for both breast cancer regimens (TC and TCH). Crude FN risks for XELOX, FOLFOX6, bendamustine, and lenalidomide were <10%; however, when potential FN misclassification and censoring were considered, FN risks were >10%. Conclusions: Our results support published literature highlighting the real-world, "high" FN risk of the TC and TCH regimens for breast cancer. There is strong suggestive evidence that FN risks for XELOX, FOLFOX6, bendamustine, and lenalidomide are >10%. Calculation of chemotherapy course-level FN incidence without controlling for differential censoring for patients who discontinued regimens early, or possible FN misclassification, might have resulted in bias toward an underestimation of the true FN risk. These findings help define FN risk of the selected regimens in the real-world setting and inform prophylactic G-CSF use.

Relation between ultrasonic properties, rheology and baking quality for bread doughs of widely differing formulation.

BACKGROUND: The objective was to evaluate whether an ultrasonic reflectance technique has predictive capacity for breadmaking performance of doughs made under a wide range of formulation conditions. Two flours of contrasting dough strength augmented with different levels of ingredients (inulin, oil, emulsifier or salt) were used to produce different bread doughs with a wide range of properties. Breadmaking performance was evaluated by conventional large-strain rheological tests on the dough and by assessment of loaf quality. The ultrasound tests were performed with a broadband reflectance technique in the frequency range of 0.3-6 MHz. RESULTS: Principal component analysis showed that ultrasonic attenuation and phase velocity at frequencies between 0.3 and 3 MHz are good predictors for rheological and bread scoring characteristics. CONCLUSIONS: Ultrasonic parameters had predictive capacity for breadmaking performance for a wide range of dough formulations. Lower frequency attenuation coefficients correlated well with conventional quality indices of both the dough and the bread. © 2016 Society of Chemical Industry.

Relationship between severity and duration of chemotherapy-induced neutropenia and risk of infection among patients with nonmyeloid malignancies.

PURPOSE: Chemotherapy-induced neutropenia (CIN) may increase infection risk for cancer patients; however, there is limited understanding on the quantitative relationships between severity and duration of CIN and infection risk. METHODS: This study combined individual data from adult cancer patients receiving no granulocyte colony-stimulating factor during the first chemotherapy cycle in six trials. We used area over the curve (AOC) of absolute neutrophil count (ANC) time-response curve (below different thresholds) to measure the combined effect of severity and duration of CIN. Time-dependent Cox proportional hazards models quantified the hazard of first infection associated with duration of grade 4 or grade 3/4 CIN and the hazard associated with AOC. RESULTS: We analyzed data from 271 patients who had small cell lung cancer, non-Hodgkin's lymphoma, head and neck cancer, or breast cancer; 63.8 % of the patients had advanced cancer, and 77.5 % received chemotherapy regimens with high risk of febrile neutropenia. In the first cycle, 18.8 % of the patients had infection-related hospitalizations. Each additional day patients had grade 3/4 or grade 4 CIN was associated with 28 % (95 % CI 7, 51 %) and 30 % (95 % CI 10, 54 %) increased risk of infection-related hospitalization, respectively. Each unit increase in AOC (day × 10(9)/L ANC), with threshold of ANC < 0.5 × 10(9)/L, was associated with a significantly increased risk of infection-related hospitalization (hazard ratio 1.98; 95 % CI 1.35, 2.90). CONCLUSIONS: Infection risk increases dramatically with each additional day of grade 3 or 4 CIN. Interventions limiting CIN severity and duration are of critical importance to reduce infection risk in cancer patients receiving chemotherapy.

The effect of chemotherapy-induced anemia on dose reduction and dose delay.

PURPOSE: To evaluate moderate (grade 2, hemoglobin <10 g/dl) and severe (grade 3+, hemoglobin <8 g/dl) anemia as potential risk factors for DDR in the first line course of chemotherapy. While chemotherapy-induced neutropenia has been shown to be associated with dose delay/reduction (DDR) in several studies, the effect of anemia is less well studied. METHODS: We identified 3955 Kaiser Permanente patients diagnosed with incident non-Hodgkin's lymphoma (n = 574), breast (n = 2043), lung (n = 463), gastric (n = 113), ovarian (n = 204), or colorectal cancers (n = 558) between 2010 and 2012. Generalized linear mixed effects models were used to study the effect of anemia in subsequent cycles, adjusting for demographics, comorbidities, chemotherapy cycle, neutropenia, thrombocytopenia, and liver and renal function. RESULTS: We found that moderate (grade 2) to severe (grade 3-4) anemia increased the risk of DDR in subsequent chemotherapy cycles [odds ratio (OR) = 1.46, 95 % CI (1.32, 1.62) and OR = 2.02 (1.41, 2.89)], respectively, compared to grade 1 or no anemia. Both stage I-III and IV patients with grade 2 or greater anemia were at higher risk for DDR than patients with grade 1 or no anemia [ORstage IV, grade 2 = 1.94 (1.58, 2.38); ORstage IV, grade 3/4 = 2.83 (1.42, 5.62) and ORstage I-III, grade 2 = 1.33 (1.18, 1.49); ORstage I-III, grade 3-4 = 1.81 (1.18, 2.76)]. CONCLUSIONS: These results provide insight into novel risk factors for chemotherapy dose modification that may inform clinicians on management strategies to optimize treatment outcomes.

Incidence of anemia in patients diagnosed with solid tumors receiving chemotherapy, 2010-2013.

PURPOSE: The purpose of this study was to evaluate and characterize the risk of anemia during the course of chemotherapy among patients with five common types of solid tumors. PATIENTS AND METHODS: Patients diagnosed with incident cancers of breast, lung, colon/rectum, stomach, and ovary who received chemotherapy were identified from Kaiser Permanente Southern California Health Plan (2010-2012). All clinical data were collected from the health plan's electronic medical records. Incidence proportions of patients developing anemia and 95% confidence intervals were calculated overall and by anemia severity and type, as well as by stage at cancer diagnosis, and by chemotherapy regimen and cycle. RESULTS: A total of 4,426 patients who received chemotherapy were included. Across cancers, 3,962 (89.5%) patients developed anemia during the course of chemotherapy (normocytic 85%, macrocytic 10%, microcytic 5%; normochromic 47%, hyperchromic 44%, hypochromic 9%). The anemia grades were distributed as follows: 58% were grade 1, 34% grade 2, 8% grade 3, and <1% grade 4. The incidence of grade 2+ anemia ranged from 26.3% in colorectal cancer patients to 59.2% in ovarian cancer patients. Incidence of grade 2+ anemia increased from 29% in stage I to 49% in stage IV. Incidence of grade 2+ anemia varied from 18.2% in breast cancer patients treated with cyclophosphamide + docetaxel regimen to 59.7% in patients with ovarian cancer receiving carboplatin + paclitaxel regimen. CONCLUSION: The incidence of moderate-to-severe anemia (hemoglobin <10 g/dL) remained considerably high in patients with solid tumors receiving chemotherapy. The risk of anemia was greater in patients with distant metastasis.

Trajectory of absolute neutrophil counts in patients treated with pegfilgrastim on the day of chemotherapy versus the day after chemotherapy.

PURPOSE: Risk of infection increases with severity and duration of chemotherapy-induced neutropenia (CIN). Pegfilgrastim is approved for use on the day after chemotherapy to reduce incidence of infection, as manifested by febrile neutropenia (FN), in patients receiving myelosuppressive chemotherapy. In this study, we compared severity and duration of absolute neutrophil count (ANC) suppression in patients who received pegfilgrastim on the same day as chemotherapy versus the next day. METHODS: We combined individual patient data from four Amgen-sponsored clinical trials in which patients with cancer were randomized to receive pegfilgrastim either the same day as chemotherapy or the next day. Severity and duration of ANC suppression were calculated using area over the curve (AOC, the area over the ANC-time response curve and below a given clinical threshold). AOC of ANC and incidences of CIN and FN were compared by day of pegfilgrastim use. RESULTS: The analysis included 95 same-day patients and 97 next-day patients. Despite similar ANC at baseline, ANC at nadir was higher among next-day patients than same-day patients. Mean AOC of ANC (cutoff 0.5 × 10(9)/L) among next-day patients was lower by 0.30 (95 % confidence interval: 0.16, 0.43) 10(9)/L × day than same-day patients in cycle 1. Next-day patients had lower incidences of CIN than same-day patients, but there were no significant differences in incidences of FN. CONCLUSIONS: Patients who received pegfilgrastim the day after chemotherapy had less severe and shorter suppression of ANC than patients who received pegfilgrastim the same day as chemotherapy.

Validation of Claims Algorithms for Progression to Metastatic Cancer in Patients with Breast, Non-small Cell Lung, and Colorectal Cancer.

BACKGROUND: Validated algorithms for identifying progression to metastatic cancer could permit the use of administrative claims databases for research in this area. OBJECTIVE: To identify simple algorithms that could accurately detect cancer progression to metastatic breast, non-small cell lung, and colorectal cancer (CRC) using medical and pharmacy claims data. METHODS: Adults with stage I-III breast, non-small cell lung cancer (NSCLC), or CRC in the Geisinger Health System from 2004 to 2011 were selected. Evidence of progression was extracted via manual chart review as the reference standard. In addition to secondary malignancy diagnosis (ICD-9 code for metastases), diagnoses, procedures, and treatments were selected with clinician input as indicators of cancer progression. Random forests models provided variable importance scores. In addition to codes for secondary malignancy, several more complex algorithms were constructed and performance measures calculated. RESULTS: Among those with breast cancer [17/502 (3.4%) progressed], the performance of a secondary malignancy code was suboptimal [sensitivity: 64.7%; specificity: 86.0%; positive predictive value (PPV): 13.9; negative predictive value (NPV): 98.6%]; requiring malignancy at another site or initiation of immunotherapy increased PPV and specificity but decreased sensitivity. For NSCLC [61/236 (25.8%) progressed], codes for secondary malignancy alone (PPV: 47.4%; NPV: 84.8%; sensitivity: 60.7%; specificity: 76.6%) performed similarly or better than more complex algorithms. For CRC [33/276 (12.0%) progressed], secondary malignancy codes had good specificity (92.7%) and NPV (92.3%) but low sensitivity (42.4%) and PPV (43.8%); an algorithm with change in chemotherapy increased sensitivity but decreased other metrics. CONCLUSION: Selected algorithms performed similarly to the presence of a secondary tumor diagnosis code, with low sensitivity/PPV and higher specificity/NPV. Accurate identification of cancer progression likely requires verification through chart review.

Trends in anemia treatment among patients with five non-myeloid malignancies treated with chemotherapy in a large integrated health care delivery system in California, 2000-2013.

PURPOSE: The aim of this study is to examine treatment patterns for chemotherapy-induced anemia (CIA) between calendar periods when the changes in the US prescribing information, for erythropoiesis-stimulating agents (ESAs) took place. METHODS: Patients diagnosed with breast, lung, colorectal, ovarian, or gastric cancer (2000-2012) who developed grade 2+ CIA (hemoglobin (Hb) <10 g/dl) were identified from Kaiser Permanente Southern California Health Plan. We estimated the proportions of CIA episodes with ESA use, red blood cell (RBC) transfusion, or prescription nutritional supplements in three calendar periods: January 1, 2000-December 31, 2006 (P1), January 1, 2007-March 24, 2010 (P2), and March 25, 2010-June 30, 2013 (P3). Multivariable regressions were used to test the differences of CIA treatment approaches and Hb concentration prior to CIA treatment across these calendar periods. RESULTS: The proportions of CIA episodes with ESA use were 28 % in P1, 21 % in P2, and 3 % in P3. For RBC transfusion, they were 8 % in P1, 14 % in P2 and 16 % in P3. The trend of decreasing ESA use and increasing transfusion use were statistically significant. Relative to P1, the odds ratio (OR) was 0.69 (95% CI: 0.55, 0.86) for P2 and 0.08 (0.30, 0.88) for P3 for ESA use. For RBC transfusion, OR was 2.00 (1.56, 2.56) for P2 and 2.37 (1.88, 3.00) for P3. Use of prescription nutritional supplement was rare across calendar periods. There was a decreasing trend of Hb concentration prior to ESA use (p value <0.01), but no difference in Hb concentrations prior to transfusion. CONCLUSION: In the management of CIA, use of ESA has decreased over time, while use of RBC transfusion has increased.

Ultrasound as a tool to study bubbles in dough and dough mechanical properties: A review.

Investigation of dough mechanical properties using low-intensity ultrasound is now reasonably well established. In this review, an introduction to the fundamentals of ultrasound propagation in non-scattering and in scattering media is followed by several examples of how low-intensity ultrasound is used as a research tool for exploring the bubble size distribution in breadmaking dough and evaluating dough's mechanical properties. Utilization of ultrasonic techniques for quantitative assessments of bubbly dough structure and characterization of dough mechanical properties as affected by dough formulation are pointed out.

The impact of primary prophylaxis with granulocyte colony-stimulating factors on febrile neutropenia during chemotherapy: a systematic review and meta-analysis of randomized controlled trials.

PURPOSE: The study aims to assess the relative efficacy of granulocyte colony-stimulating factor (G-CSF) products administered as primary prophylaxis (PP) to patients with cancer receiving myelosuppressive chemotherapy. METHODS: A systematic literature review identified publications (January 1990 to September 2013) of randomized controlled trials evaluating PP with filgrastim, pegfilgrastim, lenograstim, or lipegfilgrastim in adults receiving myelosuppressive chemotherapy for solid tumors or non-Hodgkin lymphoma. Direct, indirect, and mixed-treatment comparison (MTC) were used to estimate the odds ratio and 95 % credible interval of febrile neutropenia (FN) during cycle 1 and all cycles of chemotherapy combined without adjusting for differences in relative dose intensity (RDI) between study treatment arms. RESULTS: Twenty-seven publications representing 30 randomized controlled trials were included. Using MTC over all chemotherapy cycles, PP with filgrastim, pegfilgrastim, lenograstim, and lipegfilgrastim versus no G-CSF PP or placebo were associated with statistically significantly reduced FN risk. FN risk was also significantly reduced with pegfilgrastim PP versus filgrastim PP. Over all chemotherapy cycles, there was a numerical but statistically nonsignificant increase in the FN risk for lipegfilgrastim PP versus pegfilgrastim PP. Using MTC in cycle 1, PP with filgrastim, pegfilgrastim, and lipegfilgrastim versus no G-CSF PP or placebo were associated with statistically significantly reduced FN risk. CONCLUSIONS: In this meta-analysis, using MTC without adjustment for RDI, PP with all G-CSFs evaluated reduced the FN risk in patients receiving myelosuppressive chemotherapy. Future studies are needed to assess the influence of RDI on FN outcomes and to eliminate potential bias between G-CSF arms receiving more intensive chemotherapy than control arms.