Tag: statistics

Dimens Crit Care Nurs. 2023 Mar-Apr 01;42(2):104-114. doi: 10.1097/DCC.0000000000000572.

ABSTRACT

PURPOSE: The present research was conducted to reveal the impact of abdominal massage on enteral nutrition-induced ventilator-associated pneumonia and the gastrointestinal system in mechanically ventilated patients.

MATERIALS AND METHODS: The present research is a prospective, randomized, controlled clinical trial. This study was completed with 63 patients (31 in the experimental group and 32 in the control group). Data collection was performed using a patient information form, a patient follow-up form, and the Bristol Stool Scale. After patients were under mechanical ventilation for 48 hours, the data collection tools were filled out twice a day for 3 days by visiting the mechanical ventilation patients. The experimental group received 15 minutes of abdominal massage twice a day before nursing care was delivered in the morning and the evening.

RESULTS: According to the intergroup evaluations, the experimental group had lower gastric residual volume and abdominal distension, types of stool closer to normal, and higher defecation frequency. Differences between the groups were statistically significant (P < .05). In accordance with the intragroup evaluations, the experimental group had lower gastric residual volume, abdominal distension, and ventilator-associated pneumonia. The difference between the groups was revealed to be statistically significant (P < .05).

CONCLUSION: Abdominal massage reduces ventilator-associated pneumonia development to a statistically significant degree. Furthermore, it decreases gastric residual volume and abdominal distension, causes stools to be closer to the normal/ideal stool, increases defecation frequency, and regulates bowel movements and excretion (P < .05).

PMID:36720035 | DOI:10.1097/DCC.0000000000000572

Clin J Am Soc Nephrol. 2023 Jan 1;18(1):28-35. doi: 10.2215/CJN.0000000000000035.

ABSTRACT

BACKGROUND: Prediction tools that incorporate self-reported health information could increase CKD awareness, identify modifiable lifestyle risk factors, and prevent disease. We developed and validated a survey-based prediction equation to identify individuals at risk for incident CKD (eGFR <60 ml/min per 1.73 m2), with and without a baseline eGFR.

METHODS: A cohort of adults with an eGFR ≥70 ml/min per 1.73 m2 from Ontario, Canada, who completed a comprehensive general population health survey between 2000 and 2015 were included (n=22,200). Prediction equations included demographics (age, sex), comorbidities, lifestyle factors, diet, and mood. Models with and without baseline eGFR were derived and externally validated in the UK Biobank (n=15,522). New-onset CKD (eGFR <60 ml/min per 1.73 m2) with ≤8 years of follow-up was the primary outcome.

RESULTS: Among Ontario individuals (mean age, 55 years; 58% women; baseline eGFR, 95 (SD 15) ml/min per 1.73 m2), new-onset CKD occurred in 1981 (9%) during a median follow-up time of 4.2 years. The final models included lifestyle factors (smoking, alcohol, physical activity) and comorbid illnesses (diabetes, hypertension, cancer). The model was discriminating in individuals with and without a baseline eGFR measure (5-year c-statistic with baseline eGFR: 83.5, 95% confidence interval [CI], 82.2 to 84.9; without: 81.0, 95% CI, 79.8 to 82.4) and well calibrated. In external validation, the 5-year c-statistic was 78.1 (95% CI, 74.2 to 82.0) and 66.0 (95% CI, 61.6 to 70.4), with and without baseline eGFR, respectively, and maintained calibration.

CONCLUSIONS: Self-reported lifestyle and health behavior information from health surveys may aid in predicting incident CKD.

PODCAST: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast.aspx?p=CJASN&e=2023_01_10_CJN05650522.mp3.

PMID:36720027 | DOI:10.2215/CJN.0000000000000035

Coron Artery Dis. 2023 Mar 1;34(2):119-126. doi: 10.1097/MCA.0000000000001211. Epub 2022 Dec 23.

ABSTRACT

BACKGROUND: Patientswho present with acute ST elevation myocardial infarction (STEMI) need emergent revascularization. Our study aims to investigate the outcomes in patients with STEMI admitted during weekends versus weekdays.

METHODS: We conducted a retrospective analysis of the nationwide inpatient sample database. Patients with an admitting diagnosis of STEMI identified by the International Classification of Disease code for the year 2016 were analyzed. A weighted descriptive analysis was performed to generate national estimates. Patients admitted over the weekend were compared to those admitted over the weekday. Patients were stratified by demographic and clinical factors including the Elixhauser comorbidity index. The primary outcome was in-hospital mortality and secondary outcomes were percutaneous coronary intervention (PCI) utilization rate, rate of transfer-out, length of stay (LOS), and total hospital charges. Statistical analysis including linear and logistic regression was performed using STATA.

RESULTS: A total of 163 715 adult patients were admitted with STEMI, of which 27.9% (45 635) were admitted over the weekend. There were 76.2% Caucasians, 9.3% African Americans, and 8.0% Hispanics. Mean age of the patients was 63.2 years (95% CI, 62.9-63.5) for the weekend group and 63.7 years (95% CI, 63.5-63.9) for weekday admissions. The majority of the patients in both groups had Medicare (43.7% and 45.8% on weekends and weekdays, respectively; P = 0.0047). After adjusting for age, sex, race, income, Elixhauser comorbidity index, PCI use, hospital location, teaching status, and bed size, mortality was not significantly different in weekend versus weekday admissions (odds ratios 1.04; P = 0.498; 95% CI, 0.93-1.16). There was no significant difference in mean total charge per admission during the weekend versus weekday admissions ($107 093 versus $106 869; P = 0.99.) Mean LOS was 4.1 days for both groups (P = 0.81).

CONCLUSIONS: There were no significant differences in mortality, LOS, or total hospital charge in STEMI patients being admitted during the weekend versus weekdays.

PMID:36720020 | DOI:10.1097/MCA.0000000000001211

Facial Plast Surg Aesthet Med. 2023 Jan 31. doi: 10.1089/fpsam.2022.0330. Online ahead of print.

ABSTRACT

Background: This study aims to evaluate three-dimensional stereophotogrammetry measured volume changes in the tear trough area after lower blepharoplasty with midface lift with or without orbital fat manipulation. Objective: Among patients undergoing midface lift surgery, volume change by three-dimensional photography in the tear trough region was compared between those having no orbital fat manipulation, fat transposition, or fat resection. Methods: This is a prospective study of 260 eyelids of 130 patients who underwent cosmetic midface surgery. All patients had an external skin muscle flap midface lift. During the procedure, medial inferior orbital fat was resected, repositioned to a preperiosteal dissection pocket, or not manipulated. Forty-six patients (35.4%) had no fat manipulation, 42 patients (32.3%) had fat preservation with repositioning to the preperiosteal pockets on the medial inferior orbital rim, and 42 patients (32.3%) had fat resection without repositioning. Results: All patients had volume gain in tear trough volume. The amount was not statistically significantly different between fat treatment groups. Mean follow-up time was 12 months (range 6-20 months). Conclusions: Midface lifting improved tear trough volume irrespective of how fat was manipulated.

PMID:36719989 | DOI:10.1089/fpsam.2022.0330

Annu Rev Phys Chem. 2022 Jan 31. doi: 10.1146/annurev-physchem-101422-030127. Online ahead of print.

ABSTRACT

Phillip L. Geissler made important contributions to the statistical mechanics of biological polymers, heterogeneous materials, and chemical dynamics in aqueous environments. He devised analytical and computational methods that revealed the underlying organization of complex systems at the frontiers of biology, chemistry, and materials science. In this retrospective we celebrate his work at these frontiers. Expected final online publication date for the Annual Review of Physical Chemistry, Volume 74 is April 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

PMID:36719975 | DOI:10.1146/annurev-physchem-101422-030127

Epidemiology. 2023 Jan 31. doi: 10.1097/EDE.0000000000001597. Online ahead of print.

ABSTRACT

BACKGROUND: Research and reporting of mortality indicators typically focus on a single underlying cause of death selected from multiple causes recorded on a death certificate. The need to incorporate the multiple causes in mortality statistics – reflecting increasing multimorbidity and complex causation patterns – is recognized internationally. This review aims to identify and appraise relevant analytical methods and practices related to multiple causes.

METHODS: We searched Medline, PubMed, Scopus and Web of Science from their inception to December 2020 without language restrictions, supplemented by consultation with international experts. Eligible articles analyzed multiple causes of death from death certificates. The process identified 4,080 items of which we reviewed 434 full-text articles.

RESULTS: Most articles we reviewed (76%, n=332) were published since 2001. The majority examined mortality by “any mention” of cause of death (87%, n=377) and assessed pairwise combinations of causes (57%, n=245). Since 2001, applications of methods emerged to group deaths based on common cause patterns using, for example, cluster analysis (2%, n=9), and application of multiple-cause weights to re-evaluate mortality burden (1%, n=5). We describe multiple-cause methods applied to specific research objectives for approaches emerging recently.

CONCLUSION: This review confirms rapidly increasing international interest in the analysis of multiple causes of death and provides the most comprehensive overview, to our knowledge, of methods and practices to date. Available multiple-cause methods are diverse but suit a range of research objectives. With greater availability of data and technology, these could be further developed and applied across a range of settings.

PMID:36719759 | DOI:10.1097/EDE.0000000000001597

J Med Internet Res. 2023 Jan 31;25:e39321. doi: 10.2196/39321.

ABSTRACT

BACKGROUND: Lifestyle behaviors during the periconception period contribute to achievement of a successful pregnancy. Assessment of attitudes and practices toward these modifiable behaviors can aid in identifying gaps in unhealthy lifestyle behaviors with impact on intervention effectiveness.

OBJECTIVE: This study investigates the effectiveness of coaching by the eHealth program Smarter Pregnancy during the periconception period on improvement of attitudes and practices toward fruit and vegetable intake and smoking in women attempting pregnancy through assisted reproductive technology (ART) or natural conception.

METHODS: Women attempting pregnancy through ART (n=1060) or natural conception (n=631) were selected during the periconception period. The intervention groups, conceived through ART or naturally, received Smarter Pregnancy coaching for 24 weeks, whereas the control group conceived through ART and did not receive coaching. Attitudes and practices at baseline and follow-up periods were obtained from self-administered online questionnaire provided by the program. Attitudes were assessed in women with unhealthy behaviors as their intention to increase their fruit and vegetable intake and to quit smoking using a yes/no question. Outcomes on practices, suggesting effectiveness, included daily fruit (pieces) and vegetable (grams) intake, and if women smoked (yes/no). Changes in attitudes and practices were compared at 12 and 24 weeks with baseline between the ART intervention and ART control groups, and within the intervention groups between ART and natural conception. Changes in practices at 12 and 24 weeks were also compared with baseline between women with negative attitude and positive attitude within the intervention groups: ART and natural conception. Analysis was performed using linear and logistic regression models adjusted for maternal confounders and baseline attitudes and practices.

RESULTS: The ART intervention group showed higher vegetable intake and lower odds for negative attitudes toward vegetable intake after 12 weeks (β_adj=25.72 g, P<.001; adjusted odds ratio [OR_adj] 0.24, P<.001) and 24 weeks of coaching (β_adj=23.84 g, P<.001; OR_adj 0.28, P<.001) compared with ART controls. No statistically significant effect was observed on attitudes and practices toward fruit intake (12 weeks: P=.16 and .08, respectively; 24 weeks: P=.16 and .08, respectively) and smoking behavior (12 weeks: P=.87; 24 weeks: P=.92). No difference was observed for the studied attitudes and practices between the ART intervention and natural conception intervention groups. Women with persistent negative attitude toward fruit and vegetable intake at week 12 showed lower fruit and vegetable intake at week 24 compared with women with positive attitude (β_adj=-.49, P<.001; β_adj=-30.07, P<.001, respectively).

CONCLUSIONS: The eHealth Smarter Pregnancy program may improve vegetable intake-related attitudes and practices in women undergoing ART treatment. Women with no intention to increase fruit and vegetable intake had less improvement in their intakes. Despite small changes, this study demonstrates again that Smarter Pregnancy can be used to improve vegetable intake, which can complemented by blended care that combines face-to-face and online care to also improve fruit intake and smoking behavior.

PMID:36719733 | DOI:10.2196/39321

Allergy Asthma Proc. 2023 Jan 1;44(1):51-58. doi: 10.2500/aap.2023.44.220088.

ABSTRACT

Background: Children with anaphylaxis often emergently present for treatment. Providers’ adherence to the principles of optimal management according to the most recent national guidelines is unknown. Objective: To assess the variation in management approaches for allergic reactions and anaphylaxis between allergy/immunology (AI) and emergency medicine (EM) providers. Methods: This was a cross-sectional survey study of AI and EM providers in the University of Colorado affiliated hospitals and Colorado Asthma and Allergy Society. The survey consisted of six cases of patients with allergic reactions, with four cases that represented patients with anaphylaxis that resolved by the time of discharge. For each vignette, the participants were asked about preferred initial therapy, adjunctive therapies, monitoring, outpatient prescription medications, and discharge instructions provided. Survey derivation and validation was accomplished by a multidisciplinary team of experts by using a modified Delphi process. Results: A total of 413 clinicians were contacted, of whom 194, (47%) responded, including 69 pediatric EM, 50 general EM, and 49 AI providers, and 26 did not identify a provider type. There were no statistically significant differences in correct recognition of anaphylaxis between the AI and EM providers. For each case, statistically significant differences were noted in the use of corticosteroids during and after resolution of anaphylaxis: AI providers reported giving fewer prescriptions than did the EM providers for corticosteroids in all cases of anaphylaxis (p < 0.001). The AI providers were less likely to prescribe scheduled antihistamines than were the EM providers in half of the cases (p < 0.02). Conclusion: Across the specialties, there were high rates of recognition of epinephrine as first-line treatment for anaphylaxis. The majority of the EM providers prescribed scheduled corticosteroids and antihistamines after resolution of anaphylaxis, whereas most of the AI providers did not prescribe scheduled corticosteroids. Analysis of the current data suggests against the routine use of corticosteroids in the management of anaphylaxis, particularly continued use after resolution of symptoms. AI involvement in the creation of EM and hospital protocols for allergic reactions could improve overall care.

PMID:36719699 | DOI:10.2500/aap.2023.44.220088

JAMA Netw Open. 2023 Jan 3;6(1):e2253820. doi: 10.1001/jamanetworkopen.2022.53820.

ABSTRACT

IMPORTANCE: Dual-energy chest radiography exhibits better sensitivity than single-energy chest radiography, partly due to its ability to remove overlying anatomical structures.

OBJECTIVES: To develop and validate a deep learning-based synthetic bone-suppressed (DLBS) nodule-detection algorithm for pulmonary nodule detection on chest radiographs.

DESIGN, SETTING, AND PARTICIPANTS: This decision analytical modeling study used data from 3 centers between November 2015 and July 2019 from 1449 patients. The DLBS nodule-detection algorithm was trained using single-center data (institute 1) of 998 chest radiographs. The DLBS algorithm was validated using 2 external data sets (institute 2, 246 patients; and institute 3, 205 patients). Statistical analysis was performed from March to December 2021.

EXPOSURES: DLBS nodule-detection algorithm.

MAIN OUTCOMES AND MEASURES: The nodule-detection performance of DLBS model was compared with the convolution neural network nodule-detection algorithm (original model). Reader performance testing was conducted by 3 thoracic radiologists assisted by the DLBS algorithm or not. Sensitivity and false-positive markings per image (FPPI) were compared.

RESULTS: Training data consisted of 998 patients (539 men [54.0%]; mean [SD] age, 54.2 [9.82] years), and 2 external validation data sets consisted of 246 patients (133 men [54.1%]; mean [SD] age, 55.3 [8.7] years) and 205 patients (105 men [51.2%]; mean [SD] age, 51.8 [9.1] years). Using the external validation data set of institute 2, the bone-suppressed model showed higher sensitivity compared with that of the original model for nodule detection (91.5% [109 of 119] vs 79.8% [95 of 119]; P < .001). The overall mean of FPPI with the bone-suppressed model was reduced compared with the original model (0.07 [17 of 246] vs 0.09 [23 of 246]; P < .001). For the observer performance testing with the data of institute 3, the mean sensitivity of 3 radiologists was 77.5% (95% [CI], 69.9%-85.2%), whereas that of radiologists assisted by DLBS modeling was 92.1% (95% CI, 86.3%-97.3%; P < .001). The 3 radiologists had a reduced number of FPPI when assisted by the DLBS model (0.071 [95% CI, 0.041-0.111] vs 0.151 [95% CI, 0.111-0.210]; P < .001).

CONCLUSIONS AND RELEVANCE: This decision analytical modeling study found that the DLBS model was more sensitive to detecting pulmonary nodules on chest radiographs compared with the original model. These findings suggest that the DLBS model could be beneficial to radiologists in the detection of lung nodules in chest radiographs without need of the specialized equipment or increase of radiation dose.

PMID:36719681 | DOI:10.1001/jamanetworkopen.2022.53820

JAMA Netw Open. 2023 Jan 3;6(1):e2253840. doi: 10.1001/jamanetworkopen.2022.53840.

ABSTRACT

IMPORTANCE: Time of day was associated with a decline in adenoma detection during colonoscopy. Artificial intelligence (AI) systems are effective in improving the adenoma detection rate (ADR), but the performance of AI during different times of the day remains unknown.

OBJECTIVE: To validate whether the assistance of an AI system could overcome the time-related decline in ADR during colonoscopy.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study is a secondary analysis of 2 prospective randomized controlled trials (RCT) from Renmin Hospital of Wuhan University. Consecutive patients undergoing colonoscopy were randomly assigned to either the AI-assisted group or unassisted group from June 18, 2019, to September 6, 2019, and July 1, 2020, to October 15, 2020. The ADR of early and late colonoscopy sessions per half day were compared before and after the intervention of the AI system. Data were analyzed from March to June 2022.

EXPOSURE: Conventional colonoscopy or AI-assisted colonoscopy.

MAIN OUTCOMES AND MEASURES: Adenoma detection rate.

RESULTS: A total of 1780 patients (mean [SD] age, 48.61 [13.35] years, 837 [47.02%] women) were enrolled. A total of 1041 procedures (58.48%) were performed in early sessions, with 357 randomized into the unassisted group (34.29%) and 684 into the AI group (65.71%). A total of 739 procedures (41.52%) were performed in late sessions, with 263 randomized into the unassisted group (35.59%) and 476 into the AI group (64.41%). In the unassisted group, the ADR in early sessions was significantly higher compared with that of late sessions (13.73% vs 5.70%; P = .005; OR, 2.42; 95% CI, 1.31-4.47). After the intervention of the AI system, as expected, no statistically significant difference was found (22.95% vs 22.06%, P = .78; OR, 0.96; 95% CI; 0.71-1.29). Furthermore, the AI systems showed better assistance ability on ADR in late sessions compared with early sessions (odds ratio, 3.81; 95% CI, 2.10-6.91 vs 1.60; 95% CI, 1.10-2.34).

CONCLUSIONS AND RELEVANCE: In this cohort study, AI systems showed higher assistance ability in late sessions per half day, which suggests the potential to maintain high quality and homogeneity of colonoscopies and further improve endoscopist performance in large screening programs and centers with high workloads.

PMID:36719680 | DOI:10.1001/jamanetworkopen.2022.53840