Discovery of 9H-pyrimido[4,5-b]indole derivatives as dual RET/TRKA inhibitors.

Aberrant RET kinase signaling is activated in numerous cancers including lung, thyroid, breast, pancreatic, and prostate. Recent approvals of selective RET inhibitors, pralsetinib and selpercatinib, has shifted the focus of RET kinase drug discovery programs towards the development of selective inhibitors. However, selective inhibitors invariably lose efficacy as the selective nature of the inhibitor places Darwinian-like pressure on the tumor to bypass treatment through the selection of novel oncogenic drivers. Further, selective inhibitors are restricted for use in tumors with specific genetic backgrounds that do not encompass diverse patient classes. Here we report the identification of a pyrimido indole RET inhibitor found to also have activity against TRK. This selective dual RET/TRK inhibitor can be utilized in tumors with both RET and TRK genetic backgrounds and can also provide blockade of NTRK-fusions that are selected for from RET inhibitor treatments. Efforts towards developing dual RET/TRK inhibitors can be beneficial in terms of encompassing more diverse patient classes while also achieving blockade against emerging resistance mechanisms.

Effect of Intermittent Fasting on Improve Body Composition and Anthropometric Measurements of Women with Polycystic Ovarian Syndrome / Efecto del ayuno intermitente para mejorar la composición corporal y las medidas antropométricas de mujeres con síndrome de ovario poliquístico

Introduction: Polycystic ovary syndrome is a metabolicdisorder that affects women of reproductive age and is associated with insulin resistance.Objectives: The study aims to evaluate the effect of intermittent fasting and dietary intervention in improving anthropometric measures and body composition.Material and Methods: An interventional trial was carriedout on eighty-six women between the ages of 19 and 40 with a body mass index of more than 25 kg/m2 were assigned to two intervention groups: the first group (n = 57) followed intermittent fasting plus dietary restriction, and the second group (n = 29) followed dietary restriction without intermittent fasting.Results: The results show that the fasting polycystic ovarian syndrome women experienced a significant (P < 0.05) increase in muscle mass (2.2 ± 2.4) compared to the non-fasting group (0.01 ± 1.5). At the end of the intervention, fasting women with the polycystic ovarian syndrome had significantly (P < 0.05) lost weight (9.2 ± 4.5kg), fat mass % (4.6 ± 3.4), and visceral fat (2.3 ± 2.1 kg), while gaining muscle mass (2.2 ± 2.4 kg). However, non-fasting women with polycystic ovarian syndrome showed significantly reduced body weight (2.4 ± 0.4 kg), fat mass % (1.2 ± 1.1), and visceral fat (0.5 ± 0.7). The results of the linear regression model showed that the highest effect of intermittent fasting was seen in weight, fat-free mass, and muscle mass. Body fat mass changed by 93% under the effect of intermittent fasting.Conclusion: Intermittent fasting may improve health outcomes, reduce body fat, maintain muscle mass, and aidweight loss in women with polycystic ovarian syndrome.Large-scale randomized controlled trials can improve our understanding of intermittent fasting in polycystic ovarian syndrome.(AU)

Kinase inhibitor macrocycles: a perspective on limiting conformational flexibility when targeting the kinome with small molecules.

Methods utilized for drug discovery and development within the kinome have rapidly evolved since the approval of imatinib, the first small molecule kinase inhibitor. Macrocycles have received increasing interest as a technique to improve kinase inhibitor drug properties evident by the FDA approvals of lorlatinib, pacritinib, and repotrectinib. Compared to their acyclic counterparts, macrocycles can possess improved pharmacodynamic and pharmacokinetic properties. This review highlights clinical success stories when implementing macrocycles in kinase-based drug discovery and showcases that macrocyclization is a clinically validated drug discovery strategy when targeting the kinome.

PTEN, ERG, SPINK1, and TFF3 Status and Relationship in a Prostate Cancer Cohort from Jordanian Arab Population.

Background and Objectives: Prognostic biomarkers in prostate cancer (PCa) include PTEN, ERG, SPINK1, and TFF3. Their relationships and patterns of expression in PCa in developing countries, including Jordan, have not yet been investigated. Materials and Methods: A tissue microarray (TMA) of PCa patients was taken from paraffin-embedded tissue blocks for 130 patients. PTEN, ERG, SPINK1, and TFF3 expression profiles were examined using immunohistochemistry (IHC) and correlated with each other and other clinicopathological factors. Results: PTEN loss of any degree was observed in 42.9% of PCa cases. ERG and TFF3 were expressed in 59.3% and 46.5% of PCa cases, respectively. SPINK1 expression was observed in 6 out of 104 PCa cases (5.4%). Among all PCa cases (n = 104), 3.8% (n = 4) showed SPINK1+/ERG+ phenotype, 1.9% (n = 2) showed SPINK1+/ERG- phenotype, 56.7% (n = 59) showed SPINK1-/ERG+ phenotype, and 37.5% showed SPINK1-/ERG- phenotype (n = 39). Among ERG positive cases (n = 63), 6.3% were SPINK1 positive. Among SPINK1 positive cases (n = 6), 66.7% were ERG positive. SPINK1 expression was predominantly observed in a subgroup of cancers that expressed TFF3 (6/6). Additionally, a statistically significant loss of PTEN expression was observed from Gleason Score 6 (GS6) (Grade Group 1 (GG1)) to GS9-10 (GG5); (p-value 0.019). Conclusions: This is the first study to look at the status of the PTEN, ERG, SPINK1, and TFF3 genes in a Jordanian Arab population. Loss of PTEN has been linked to more aggressive prostate cancer with high GSs/GGs. SPINK1 expression was predominantly observed in a subgroup of cancers that expressed TFF3. Our results call for screening these biomarkers for grading and molecular subtyping of the disease.

Definition of bulky disease in early stage diffuse large B-cell lymphoma in computed tomography on coronal and transverse planes.

Background: In early stage diffuse large B-cell lymphoma (ESDLBL), tumor bulkiness is an important determinant of treatment and prognosis. Tumor bulk is usually measured on transverse computed tomography (CT) plane and variably defined from 5 to 10 cm. Objectives: Our study aims to investigate the prognostic significance of bulky disease measured on CT coronal and transverse planes and to evaluate the outcome of patients with bulky disease. Methods: Patients with ESDLBL and treated with rituximab, cyclophosphamide, doxorubicin, and prednisolone (RCHOP) with or without radiotherapy were included. Receiver Operating Characteristic (ROC) analysis was used to identify the optimal tumor dimension that correlated with progression, relapse, or death. Correlation between different variables and progression-free survival (PFS) and overall survival (OS) were analyzed using log-rank (Mantel-Cox) test and Cox proportional hazard models. Results: A total of 127 patients with a median age of 47 (range: 18-90) years were included. Eighty-two (64.6%) patients treated with combined modality treatment (CMT) [RCHOP + radiotherapy]. After a median follow-up of 40 (range: 2-114) months, 3-year PFS and OS were 83.9% (95% CI: 76.759%-89.981%), and 80.6% (95% CI: 72.499%-87.531%), respectively. Tumor dimension of >7.5 cm measured on either CT plane was the optimal cutoff point to define bulky disease. Three-year PFS and OS were inferior in the group of patients with no bulky disease on transvers plane (n = 84) but had bulky disease on coronal plane (n = 9,10.7%); (94.2% vs. 75%, p = 0.017 and 90.5% vs. 56.3%, p = 0.002), as well as in patients with no bulky disease on coronal plane (n = 89), but had bulky disease on transverse plane (n = 14, 15.7%); (94.1% vs. 62.3%, p < 0.001, and 90.4% vs. 63.5%, p = 0.002). Compared to RCHOP alone, 3-year PFS and OS were better in patients with bulky disease treated with CMT (78% vs. 52.5%, p = 0.018 and 81.8% vs. 38.7%, p = 0.003) but not in patients with non-bulky disease (96.2% vs. 93%, p = 0.691 and 87.6% vs. 91.5%, p = 0.477). Conclusion: In ESDLBL, measurement of tumor mass on transverse and coronal CT planes may help in better identification of patients with bulky disease. The use of CMT was associated with better survival outcomes in patients with bulky disease.

A new scoring system to predict mortality in community-acquired pneumonia: CURB (S)-65.

OBJECTIVE: The first decision to be made in the case of community-acquired pneumonia (CAP) is whether hospitalization of the patient is mandatory. In this study, we aimed to investigate whether the addition of oxygenation parameters to CURB-65 has diagnostic value in predicting mortality in CAP. PATIENTS AND METHODS: A total of 903 CAP patients were included in the study. Patients with a CURB-65 score of 0 and 1 were classified as Group 1 and patients with a CURB-65 score of 2 or more were classified as Group 2. The prediction of mortality through Pneumonia Severity Index (PSI), CURB-65 and CURBS-65/CURBP-65 with the addition of SaO2 and PaO2 values; hence the four different models, was compared among all patient groups. RESULTS: As a result, 3.3% of the cases in Group 1 and 12.7% of the cases in Group 2 died. In both CURB-65 groups, it was noted that the frequency of patients with SaO2 <90% was significantly higher in the dead group than in the alive patient group (p=0.009 and p=0.001, respectively). In the univariate analysis, PaO2<60, and SaO2<90 were significantly associated with mortality. Model 2 (CURBS-65) and Model 3 (CURBP- 65) were examined, SaO2<90 (OR 2.08) was found to have an effect on death. In predicting mortality by the receiver operating characteristics (ROC) analysis, it was understood that the CURBS-65 score had a slightly higher area under the curve (AUC) value than CURB-65. CONCLUSIONS: As a result, it has been shown that the use of CURBS-65 scoring instead of CURB-65 clinical scoring may be more useful in predicting mortality.

An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images.

Computer-aided diagnosis (CAD) systems can be used to process breast ultrasound (BUS) images with the goal of enhancing the capability of diagnosing breast cancer. Many CAD systems operate by analyzing the region-of-interest (ROI) that contains the tumor in the BUS image using conventional texture-based classification models and deep learning-based classification models. Hence, the development of these systems requires automatic methods to localize the ROI that contains the tumor in the BUS image. Deep learning object-detection models can be used to localize the ROI that contains the tumor, but the ROI generated by one model might be better than the ROIs generated by other models. In this study, a new method, called the edge-based selection method, is proposed to analyze the ROIs generated by different deep learning object-detection models with the goal of selecting the ROI that improves the localization of the tumor region. The proposed method employs edge maps computed for BUS images using the recently introduced Dense Extreme Inception Network (DexiNed) deep learning edge-detection model. To the best of our knowledge, our study is the first study that has employed a deep learning edge-detection model to detect the tumor edges in BUS images. The proposed edge-based selection method is applied to analyze the ROIs generated by four deep learning object-detection models. The performance of the proposed edge-based selection method and the four deep learning object-detection models is evaluated using two BUS image datasets. The first dataset, which is used to perform cross-validation evaluation analysis, is a private dataset that includes 380 BUS images. The second dataset, which is used to perform generalization evaluation analysis, is a public dataset that includes 630 BUS images. For both the cross-validation evaluation analysis and the generalization evaluation analysis, the proposed method obtained the overall ROI detection rate, mean precision, mean recall, and mean F1-score values of 98%, 0.91, 0.90, and 0.90, respectively. Moreover, the results show that the proposed edge-based selection method outperformed the four deep learning object-detection models as well as three baseline-combining methods that can be used to combine the ROIs generated by the four deep learning object-detection models. These findings suggest the potential of employing our proposed method to analyze the ROIs generated using different deep learning object-detection models to select the ROI that improves the localization of the tumor region.

A dataset for voice-based human identity recognition.

This paper introduces a new English speech dataset suitable for training and evaluating speaker recognition systems. Samples were obtained from non-native English speakers from the Arab region over the course of two months. The dataset was divided into two sub-datasets. Ten samples were collected from each speaker for each sub-dataset. The first sub-dataset contains samples of speakers repeating the phrase "Machine learning 1, 2, 3, 4, 5, 6, 7, 8, 9, 10". The second sub-dataset contains samples for the same speakers speaking randomly for five to ten seconds for each sample. The dataset consists of 150 speakers with a total of 3,000 data samples and about six hours of speech.

Giant multilocular prostatic cystadenoma in a young man: A case report from Jordan.

Giant Multilocular Prostatic Cystadenoma (GMPC) is one of the rare benign tumors of the prostate. This report presents a case of a young man who has been recently diagnosed with GMPC. Our report highlights the importance of timely diagnosis and treatment, considering the overlapping symptoms with other common urinary conditions.

Impact of Central Nervous System International Prognostic Index on the Treatment of Diffuse Large B Cell Lymphoma.

Background The central nervous system international prognostic index (CNS-IPI) is being used widely for the identification of patients with diffuse large B cell lymphoma (DLBCL) with a high risk of central nervous system (CNS) relapse. The aim of our study is to confirm the value of the CNS-IPI in predicting CNS relapse in our young study population and to evaluate its impact on the selection of patients for CNS prophylaxis. Methods We retrospectively reviewed patients diagnosed with DLBCL who were treated with rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (RCHOP) regimen from January 2010 till December 2018. Correlation between CNS-IPI and cumulative incidence of CNS relapse and time to CNS relapse was examined through Kaplan-Meier plots. Median time to CNS relapse and median overall survival after CNS relapse were also estimated using the Kaplan-Meier plots.  Results A total of 354 patients were included. The median age was 46 years. Overall, 5% of the patients developed CNS relapse. Median survival after CNS relapse was seven months. Two-year CNS relapse rates according to CNS-IPI were 0.7%, 5.1%, and 26% for low, intermediate, and high-risk, groups respectively. On multivariate analysis, poor performance status (p=0.045), involvement of two or more extranodal sites (p= 0.021), involvement of bone marrow (p= 0.029), and renal or adrenal glands (p= 0.006) significantly correlated with CNS relapse. Considering the CNS-IPI and high-risk anatomical sites (breast, uterus, testis, and epidural space), 26% of our patients with DLBCL would have needed prophylaxis. Conclusion Although CNS-IPI helps in better selection of DLBCL patients for CNS prophylaxis, it can possibly increase the number of patients exposed to unnecessary prophylaxis. More investigational biomarkers are needed to better refining high-risk patients.

Lassa fever amidst the COVID-19 pandemic in Africa: A rising concern, efforts, challenges, and future recommendations.

Lassa fever, caused by the Lassa virus of the Arenaviruses family, is a re-emerging public health concern that has led to 300,000 infections and 5000 deaths annually in Africa. Highly prevalent in Sierra Leone, Liberia, Guinea, Nigeria, Côte d'lvoire, Ghana, Togo, and Benin, patients infected with the virus can manifest with cough, sore throat, headache, nausea, and vomiting among other symptoms. Coexisting with the coronavirus disease 2019 (COVID-19) pandemic and its impacts, cases of Lassa fever in the African population have been reported to decrease due to hesitancy in visiting clinics that leads to unreported cases-all contributing to a silent outbreak in West Africa. Thus, to overcome current burdens, gaps, and challenges caused by Lassa fever amidst COVID-19 in Africa, various recommendations for efficient control of transmission, measures for disease containment, and strategies to correct misperceptions were made.

Atrial Fibrillation in Inherited Channelopathies.

Atrial fibrillation (AF), the common sustained arrhythmia in clinical practice, has major public health implications due to its associated morbidity and increased mortality. The AF epidemic is due to the burgeoning elderly population and the identification of novel risk factors, for example, genetics. Since the diagnosis of AF has a major impact on the clinical assessment and management of patients with inherited arrhythmia syndromes, improved understanding of the cause and pathogenesis of AF has provided important insights into the underlying pathophysiological mechanisms of this common arrhythmia and identified potential mechanism-based therapies.

Nurses' knowledge and practices of physical restraints in intensive care units: An observational study.

Aim: To investigate the knowledge and practice of physical restraints (PR) among Jordanian intensive care unit (ICU) nurses. Design: A descriptive, observational design was used. Methods: A convenience sampling was used to recruit participants. We examined the knowledge of PR in 301 nurses (knowledge check) and the real-time practice of PR in 81 nurses (direct observation) in ICU. A knowledge questionnaire was used to collect data on knowledge about PR use, and data on their practice of PR were observed and documented using an observation checklist. Results: The mean scores of nurses' knowledge and practices were 61.5 (SD = 12.1) and 57.4 (SD = 9.7), respectively. More than half of nurses had poor knowledge of PR use and incorrect practice of implementing PR (51.5% and 60.5%, respectively). Results indicated a positive correlation between nurses' knowledge and their use of PR.

A dataset for Wi-Fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments.

The aim of this paper is to present a dataset for Wi-Fi-based human activity recognition. The dataset is comprised of five experiments performed by 30 different subjects in three different indoor environments. The experiments performed in the first two environments are of a line-of-sight (LOS) nature, while the experiments performed in the third environment are of a non-line-of-sight (NLOS) nature. Each subject performed 20 trials for each of the experiments which makes the overall number of recorded trials in the dataset equals to 3000 trials (30 subjects × 5 experiments × 20 trials). To record the data, we used the channel state information (CSI) tool [1] to capture the exchanged Wi-Fi packets between a Wi-Fi transmitter and receiver. The utilized transmitter and receiver are retrofitted with the Intel 5300 network interface card which enabled us to capture the CSI values that are contained in the recorded transmissions. Unlike other publicly available human activity datasets, this dataset provides researchers with the ability to test their developed methodologies on both LOS and NLOS environments, in addition to many different variations of human movements, such as walking, falling, turning, and pen pick up from the ground.

The association between fat mass and subclinical atherosclerosis in healthy schoolchildren.

BACKGROUND AND AIMS: Childhood obesity is associated with increased risk of cardiovascular disease (CVD) later in life. The aims of this study were to investigate the change of atherosclerosis risk factors in three fat mass percentiles and to examine the association between fat mass and atherosclerosis risk factors among a group of schoolchildren. METHODS: A total of 125 schoolchildren (64 boys) aged 10-15 years were distributed into three groups: (i) the lower fat mass (LFM) group, for participants who reported fat mass ≤50th percentile; (ii) the middle fat mass (MFM) group, for participants who reported fat mass >50th percentile and <75th percentile; and (iii) the higher fat mass (HFM) group for participants who reported ≥ 75th percentiles. Measurements of carotid intima-media thickness (cIMT) using high-resolution B-mode ultrasound, lipemic profile, blood pressure, serum proinflammatory cytokines and soluble adhesion molecules were performed. RESULTS: Significant differences (p ≤ 0.05) were shown between the three groups in total cholesterol (TC), triglycerides (TG), LDL, interlukien-6 (IL-6), and interlukien-1 beta (IL-1ß). Using multiple linear regression analysis of fat mass as the dependent variable with the studied subclinical atherosclerosis risk, fat mass was significantly (p ≤ 0.05) associated with the variation expressed in systolic blood pressure (ß = 0.490), diastolic blood pressure (ß = 0.470), TC (ß = 0.399), TG (ß = 0.306), HDL (ß = -0.281), LDL (ß = 0.446), E-selectin (ß = 0.314), and cIMT (ß = 0.257). CONCLUSION: Higher fat mass is associated with increased risk of atherosclerosis in schoolchildren. Atherosclerosis risk factors including biomarkers of inflammation, endothelial dysfunction, a state of dyslipidemia, increased cIMT, and high blood pressure were associated with fat mass. Studies evaluating the appropriate fat mass cut-off points in children and adolescents are needed.

A dataset for Wi-Fi-based human-to-human interaction recognition.

This paper presents a dataset for Wi-Fi-based human-to-human interaction recognition that comprises twelve different interactions performed by 40 different pairs of subjects in an indoor environment. Each pair of subjects performed ten trials of each of the twelve interactions and the total number of trials recorded in our dataset for all the 40 pairs of subjects is 4800 trials (i.e., 40 pairs of subjects × 12 interactions × 10 trials). The publicly available CSI tool [1] is used to record the Wi-Fi signals transmitted from a commercial off-the-shelf access point, namely the Sagemcom 2704 access point, to a desktop computer that is equipped with an Intel 5300 network interface card. The recorded Wi-Fi signals consist of the Received Signal Strength Indicator (RSSI) values and the Channel State Information (CSI) values. Unlike the publicly available Wi-Fi-based human activity datasets, which mainly have focused on activities performed by a single human, our dataset provides a collection of Wi-Fi signals that are recorded for 40 different pairs of subjects while performing twelve two-person interactions. The presented dataset can be exploited to advance Wi-Fi-based human activity recognition in different aspects, such as the use of various machine learning algorithms to recognize different human-to-human interactions.

Functional Characterization of a Novel Hybrid Peptide with High Potency against Gram-negative Bacteria.

BACKGROUND: Multi-drug resistant infections are a growing worldwide health concern. There is an urgent need to produce alternative antimicrobial agents. OBJECTIVE: The study aimed to design a new hybrid antimicrobial peptide, and to evaluate its antimicrobial activity alone and in combination with traditional antibiotics. METHODS: Herein, we designed a novel hybrid peptide (BMR-1) using the primary sequences of the parent peptides Frog Esculentin-1a and Monkey Rhesus cathelicidin (RL-37). The positive net charge was increased, and other physicochemical parameters were optimized. The antimicrobial activities of BMR-1 were tested against control and multi-drug resistant gram-negative bacteria. RESULTS: BMR-1 adopted a bactericidal behavior with MIC values of 25-30 µM. These values reduced by over 75% upon combination with conventional antibiotics (levofloxacin, chloramphenicol, ampicillin, and rifampicin). The combination showed strong synergistic activities in most cases and particularly against multi-drug resistance P. aeruginosa and E. coli. BMR-1 showed similar potency against all tested strains regardless of their resistant mechanisms. BMR-1 exhibited no hemolytic effect on human red blood cells with the effective MIC values against the tested strains. CONCLUSION: BMR-1 hybrid peptide is a promising candidate to treat resistant infectious diseases caused by gramnegative bacteria.

PTEN Loss in a Prostate Cancer Cohort From Jordan.

Deletion of phosphatase and tensin homolog (PTEN) in prostate cancer has been associated with early biochemical recurrence, increased metastatic potential, and androgen independence. We evaluated the status of PTEN loss in a cohort of prostate cancer patients from Jordan. We investigated 71 patients with prostate cancer and 52 control subjects with benign prostatic hyperplasia (BPH). PTEN status was assessed by immunohistochemistry. PTEN mutations on exons 1, 2, 5, and 8 were also evaluated by polymerase chain reaction single-stranded conformation polymorphism (PCR-SSCP). We found PTEN loss in 42 of 71 (59.2%) evaluated prostate cancer cases by immunohistochemistry. In contrast, 51 of 52 BPH (98.1%) cases had an intact PTEN. In a subset of 24 prostate cancer cases evaluated by PCR-SSCP, we found PTEN mutations in 15 (62.5%) cases, whereas 22 (91.7%) of BPH controls lacked PTEN mutations. Exon 5 was the most frequently mutated exon (37.5%). Although the loss of PTEN was not significantly correlated with the Gleason Score (GS) or the World Health Organization (WHO)-International Society of Urological Pathology (ISUP) Grade Group (GG), we found higher frequency of PTEN loss (64%) in patients with GS≥4+3/GG≥3, compared with patients with GS≤3+4/GG≤2 (47.6%). In this first study to address the question of PTEN loss in a predominantly Arab population, we documented the frequency of PTEN loss in prostate cancer patients from Jordan, which was found to be higher than in comparable cohorts from East Asia, and was at the higher end of the range of reported frequency of PTEN loss in respective cohorts from North America and Western Europe. Although there was more frequent PTEN loss in cancers with higher GS/GG, this was not statistically significant.

Risk factors for hospital-acquired non-catheter-associated urinary tract infection.

BACKGROUND AND PURPOSE: Nosocomial urinary tract infection in patients with no Foley catheter [non-catheter-associated urinary tract infection (non-CAUTI)] has been a serious health issue that is associated with an increase in the cost of care, morbidity, and mortality. Identifying the risk factors of non-CAUTI would help determine patients at high risk and prevent complications. This study aims to identify the risk factors of non-CAUTI. METHOD: This study was conducted in four hospitals in three Middle Eastern countries: Jordan, Qatar, and Saudi Arabia. A convenience sample of 189 participants was recruited, of which 83 had non-CAUTI. Case-control design was used. Patients who had non-CAUTI while hospitalized were compared with others who did not. A questionnaire was developed based on the non-CAUTI diagnostic criteria from the Centers for Disease Control and Prevention. The questionnaire contained two parts: part one included participants' characteristics and part two assessed the symptoms of non-CAUTI. CONCLUSION: Comorbidity is associated with a higher risk of having nosocomial non-CAUTI among hospitalized patients. This study showed that the diagnosis and management of comorbidity is important in lowering the risk of non-CAUTI in hospitalized patients. Age and antibiotic administration were statistically significant; however, their effects were small and were unlikely to have any clinical significance. IMPLICATION FOR PRACTICE: Identifying patients at high risk is imperative to prevent the development of non-CAUTI. Nurse practitioners may implement an early intervention for patients with comorbidity to counteract its effect on patients' health.