Univariate Logistic Regression Research Articles

An Audit of a Modified Pediatric Early Warning Scoring System in a Tertiary Pediatric Hospital.

Pediatric early warning systems identify patients at risk for deterioration. We aimed to determine if a locally adapted pediatric early warning system [KK hospital early warning score (KEWS)] can distinguish patients who require transfer from general ward to high dependency unit (HDU) or PICU, from those who do not. We conducted a retrospective case-control single-center audit. All unplanned general ward to PICU/HDU transfer from January to December 2021 were included as cases. We collected KEWS at the time of transfer and at 2, 4 and 6 hours prior to transfer. Univariate and multivariable logistic regression with imputation analysis were performed to identify variables associated with unplanned PICU/HDU transfer. There were 784 patients (196 cases and 588 controls). Median age of cases and controls were 3.3 (interquartile range: 1.0-9.7) and 3.9 (0.8-11.3) years, respectively. At the time of transfer, median (interquartile range) KEWS for cases and controls were 3 (0, 4) and 0 (0, 1), respectively (P <.001). At all timepoints, KEWS was able to distinguish between children who did and did not require transfer to HDU/PICU (At time of transfer: area under the curve = 0.80, 95% CI = 0.75-0.85, P <.001). After adjusting for age, category of admission, frequency of ordered monitoring, KEWS predicted HDU/PICU transfer with an odds ratio of 2.34 (95% CI 1.82 to 3.00, P <.001). KEWS was able to distinguish patients requiring transfer from GW to HDU/PICU from those not needing a transfer.

Risk factors associated with lymph node metastasis in papillary thyroid cancer: a retrospective analysis based on 2,428 cases

BackgroundPapillary thyroid cancer (PTC) with lymph node metastasis (LNM) is associated with an increased risk of postoperative recurrence. Understanding the clinical characteristics of PTC patients can help surgeons assess the likelihood of LNM. This study aims to identify risk factors for LNM in PTC patients.MethodsWe retrospectively analyzed clinical data from 2,428 patients diagnosed with PTC who underwent initial thyroid surgery in our single center. Risk factors related to central lymph node metastasis (CLNM), lateral lymph node metastasis (LLNM), and skip metastasis were investigated by univariate and multivariate binary logistic regression analyses.ResultsUnivariate analysis revealed that the following factors were associated with an increased likelihood of CLNM (P&amp;lt;0.05): male gender, age &amp;lt; 45 years, maximal axial diameter (MAD) &amp;gt; 1 cm, body mass index (BMI) ≥ 28 kg/m² and multifocality. Univariate analysis also revealed that patients with age &amp;lt; 45 years, MAD &amp;gt; 1 cm, BMI ≥ 28 kg/m², multifocality, and CLNM demonstrated a higher propensity for LLNM (P&amp;lt;0.05). Lower pole tumors were more likely to have CLNM than upper pole tumors, while upper pole tumors were more prone to present LLNM (P&amp;lt;0.05) and skip metastasis (P&amp;lt;0.05). Multivariable binary logistic regression analysis identified that gender (odds ratio [OR], 1.732; 95% CI, 2.113–2.577; P &amp;lt; 0.001), age (OR, 1.905; 95% CI, 1.596–2.273; P &amp;lt; 0.001), MAD (OR, 4.639; 95% CI, 3.639–5.913; P &amp;lt; 0.001), and multifocality (OR, 1.860; 95% CI, 1.453–2.381; P &amp;lt; 0.001) were independent risk factors for CLNM and MAD (OR, 5.289; 95% CI, 3.777–7.404; P&amp;lt;0.001), multifocality (OR, 1.858; 95% CI, 1.248–2.766; P=0.002), and CLNM (OR, 5.030; 95% CI, 3.347–7.561; P&amp;lt;0.001) for LLNM.ConclusionDespite the overall postoperative recurrence rate in PTC patients is low, identifying risk factors such as male gender, age &amp;lt; 45 years, MAD &amp;gt; 1 cm, multifocality, and CLNM can help predict LNM. In specific cases, selective lymphadenectomy in the central or lateral neck area may be warranted.

Analysis of risk factors and establishment of early warning model for recent postoperative complications of colorectal cancer

ObjectiveThis study aimed to analyze factors associated with recent complications after colorectal cancer surgery, constructing a nomogram to aid gastrointestinal surgeons in preoperative decision-making for patients at risk of such complications.MethodsIn this retrospective study, clinical data were collected from patients undergoing radical colorectal cancer surgery at the Department of Gastrointestinal Surgery of the Affiliated Cancer Hospital of Guizhou Medical University and the Second People’s Hospital of Chengdu from November 1, 2021, to January 26, 2024. Univariable and multivariable logistic regression analyses were conducted to assess risk factors for recent postoperative complications and develop a prediction model. External validation was performed using data from 48 postoperative colorectal cancer patients in the Second People’s Hospital of Chengdu City from January 1, 2023, to May 30, 2023. Evaluation included receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis using R4.2.2 statistical software.ResultsA total of 324 patients who underwent radical colorectal cancer surgery were enrolled. The training cohort (n=176) identified four independent risk factors for recent complications: PNI ≥45 (OR=4.17, P&amp;lt;0.001), Albumin &amp;lt;40 g/L (OR=3.9, P&amp;lt;0.001), ASA score III-IV (OR=6.29, P&amp;lt;0.001), and Tumor diameter ≥5 cm (OR=4.24, P&amp;lt;0.001). A nomogram was constructed incorporating these factors. The AUC of the nomogram model in the training cohort was 0.835, with subsequent internal and external validation cohort AUCs of 0.815 and 0.819, respectively, indicating strong discriminatory ability. The calibration curve demonstrated good consistency, and decision curve analysis indicated high clinical utility.ConclusionPNI ≥45, Albumin &amp;lt;40 g/L, ASA score III-IV, and Tumor diameter ≥5 cm emerged as independent risk factors for recent complications following colorectal cancer surgery. We developed a nomogram model for these complications, potentially aiding gastrointestinal surgeons in preoperative patient evaluation and treatment planning for colorectal cancer surgery.

Prediction of Early Mortality in Esophageal Cancer Patients with Liver Metastasis Using Machine Learning Approaches

Patients with esophageal cancer liver metastasis face a high risk of early mortality, making accurate prediction crucial for guiding clinical decisions. However, effective predictive tools are currently limited. In this study, we used clinicopathological data from 1897 patients diagnosed with esophageal cancer liver metastasis between 2010 and 2020, which were sourced from the SEER database. Prognostic factors were identified using univariate and multivariate logistic regression, and seven machine learning models, including extreme gradient boosting (XGBoost) and support vector machine (SVM), were developed to predict early mortality. The models were evaluated using Receiver Operating Characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and F1 scores. Results showed that 40% of patients experienced all-cause early mortality and 38% had cancer-specific early mortality. Key predictors of early mortality included age, location, chemotherapy, and lung metastasis. Among the models, XGBoost performed best in predicting all-cause early mortality, while SVM excelled in predicting cancer-specific early mortality. These findings demonstrate that machine learning models, particularly XGBoost and SVM, can serve as valuable tools for predicting early mortality in patients with esophageal cancer liver metastasis, aiding clinical decision making.

Contrast-Enhanced Ultrasound for Diagnosing Thyroid Nodules With Indeterminate Cytology: A Retrospective Study.

A small number of thyroid nodules cannot be clearly diagnosed using ultrasound-guided fine needle aspiration biopsy. Contrast-enhanced ultrasound (CEUS) has high diagnostic performance for thyroid nodules. We explored the value of CEUS for diagnosing thyroid nodules with indeterminate cytology. Between September 2019 and July 2022, 27,646 patients with thyroid nodule(s) underwent conventional ultrasound (CUS) in our hospital. From these patients, 597 nodules were subjected to CEUS and ultrasound-guided fine needle aspiration biopsy and 116 thyroid nodules with indeterminate cytology diagnose were enrolled in this study. The independent risk factors for predicting malignancy were determined using univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curves were drawn for CUS, CEUS, and CEUS combined with CUS. The area under the curve (AUC) was calculated and compared. Of the 116 thyroid nodules, 40 (34.5%) were benign and 76 (65.5%) were malignant. Univariate analysis showed that the shape, echogenicity, margin, microcalcification, enhancement intensity, enhancement homogeneity, wash in, and wash out were significantly different between benign and malignant thyroid nodules (all p < 0.05). Multivariate logistic regression analysis showed that taller-than-wide, irregular margin, microcalcification, hypo-enhancement, heterogeneity enhancement, synchronous/slower wash in, and synchronous/slower wash out were independent risk factors for malignancy (all p < 0.05). ROC curve analysis showed that the AUC of CUS and CEUS were 0.769 and 0.848, respectively. No significant difference was observed in the AUC between the two modalities (p > 0.05). However, the AUC (0.934) of the CUS combined with CEUS was significantly higher than that of CEUS or CUS alone (both p < 0.05). CEUS is helpful in diagnosing thyroid nodules with indeterminate cytology. CUS combined with CEUS is highly valuable for predicting malignancy.

Development and validation of a clinical nomogram prediction model for surgical site infection following lumbar disc herniation surgery

Surgical site infection (SSI) following lumbar disc herniation (LDH) surgery leads to prolonged hospital stays, increased costs and reoperations. Therefore, we aim to develop and validate a nomogram to predict the risk of SSI following LDH surgery, thereby helping spine surgeons design personalized prevention strategies and promote early recovery. Data from 647 patients with SSI who underwent LDH surgery at the First Affiliated Hospital of Air Force Medical University (AFMU) from 2020 to 2023 were collected. Ultimately, 241 patients with SSI were selected based on inclusion and exclusion criteria. Patients were randomly divided into training and validation sets with a ratio of 7:3. LASSO regression, univariate, and multivariate logistic regression were utilized to identify target variables and establish the prediction model, which was subsequently validated. Six factors—Age, Body Mass Index (BMI), Postoperative Suction Drainage (PSD), Gelatin Sponge (GS), None-Preoperative Antibiotic (NPTA), and Thrombin Time (TT)—were selected to construct the nomogram model. In the training set, the area under the curve (AUC) for the nomogram was 0.818 (95% CI 0.779–0.857). In the validation set, the AUC was 0.782 (95% CI 0.717–0.846). Calibration curves for both sets showed satisfactory agreement between predicted and actual SSI probabilities. Decision curve analysis indicated that the nomogram is clinically useful with a threshold range of 1–90%. The Clinical Impact Curve (CIC) demonstrated an acceptable cost-benefit ratio. The developed nomogram model effectively predicts the risk of SSI following LDH surgery, enabling spine surgeons to formulate more professional and rational clinical prevention strategies.

Development and validation of a risk prediction model for postpartum urinary incontinence in primiparas with singleton pregnancies: a multicenter clinical investigation

BackgroundPostpartum urinary incontinence (UI) is a serious condition that significantly affects the quality of life. Several studies have demonstrated that it is associated with pelvic floor dysfunction. This study aimed to develop and validate a UI risk prediction model to identify primiparas with singleton pregnancies at high risk.MethodsA multistage stratified random sampling process was used. UI was measured using the International Standard Consultation on Incontinence Questionnaire Form (a modified Bristol questionnaire, ICIQ-FLUTS). Records of 1,340 primiparas with singleton pregnancies were reviewed, and data were collected from January 2014 to December 2014 in multiple centers. A univariate logistic regression analysis was performed, followed by a multivariable logistic regression analysis of the data. Using bootstrap resampling, we constructed a nomogram to assess postpartum UI risk.ResultsA total of 1,340 patients were enrolled, including 345 with postpartum UI and 995 with non-postpartum UI. The occurrence of postpartum UI was significantly related to the mode of delivery, family history of UI, coffee or tea consumption, antenatal UI, and frequent cough. The nomogram exhibited good discriminatory ability with a C-index of 0.718 (95% confidence interval: 0.684–0.752) and a bootstrap-corrected C-index of 0.716. Additionally, the calibration curve demonstrated that the predicted outcomes aligned well with the actual observations. Ultimately, the decision curve analysis indicated that the nomogram exhibited favorable clinical applicability.ConclusionThe decision curve analysis suggests that the nomogram could provide clinical value. The clinician will then feel more confident about making clinical recommendations regarding postpartum UI screening for primiparous women with singleton pregnancies.

Delaying pegaspargase during induction in adults with acute lymphoblastic leukaemia is associated with lower risk of high-grade hepatotoxicity without adversely impacting outcomes.

Pegaspargase is a key drug for the treatment of younger adults with acute lymphoblastic leukaemia (ALL). Pegaspargase-associated hepatotoxicity is most common during induction, and its incidence increases with age and body mass index (BMI). We hypothesized that the delayed administration of pegaspargase during induction is associated with lower risk of hepatotoxicity while retaining efficacy. We retrospectively reviewed 141 adult patients with newly diagnosed ALL who received pegaspargase during induction from November 2013 to February 2024. There were 78 (55.3%) patients who received early pegaspargase (EP) on day 4 and 63 (44.7%) patients who received delayed pegaspargase (DP) on day 15. High-grade hepatotoxicity (grade ≥ 3 transaminitis and/or hyperbilirubinaemia) occurred more frequently in the EP group (p = 0.06). Rates of complete remission and negative minimal residual disease post induction were not different between cohorts. Univariate logistic regression analysis showed that BMI and age significantly predicted an increased risk of high-grade hepatotoxicity while DP was associated with a lower risk (odds ratio = 0.44; p = 0.04). Overall survival and event-free survival were not significantly different between cohorts. Delaying pegaspargase administration from day 4 to day 15 during induction cycle in adults with ALL might reduce the risk of high-grade hepatotoxicity without adversely impacting clinical efficacy outcomes.

The Impact of Different Revascularization Strategies Implemented in Acute Myocardial Infarction on the Recovery of Left Ventricular Functional and Deformational Parameters

Background: Despite well-established therapeutic techniques, such as direct revascularization through percutaneous coronary intervention (PCI), acute myocardial infarction (AMI) remains a leading cause of mortality and morbidity. Objectives: To determine if two-dimensional speckle tracking echocardiography (STE) deformation parameters and the early recovery of left ventricular (LV) functions are affected by the timing of PCI in AMI. Methods: A total of 200 cases with newly-onset acute myocardial infarction (AMI) who had a baseline left ventricular ejection fraction (LVEF) higher than 40% and received effective therapy with percutaneous coronary intervention (PCI) were included in this investigation. cases were categorized as either ST-elevation myocardial infarction (STEMI) or non-ST-elevation myocardial infarction (NSTEMI). cases were grouped into four groups according to the time between presentation and PCI. Using standard echocardiography and two-dimensional (2D) ST-elevation STE, individuals were re-evaluated three months later to find out if remodeling had taken place or if the LV function had returned. Results: Of the 200 AMI patients, including 140 males (70%), improvement in global longitudinal strain (GLS) and harmed longitudinal strain (HLS) were better in STEMI and NSTEMI patients received urgent revascularization with PCI (groups I and III) versus patients with pharmacoinvasive strategy or routine invasive strategy (Groups II and IV) (P &lt; 0.05) while there was an insignificant difference between group I and III (P = 0.79). Of the 200 patients, 47 patients (23.5%) presented signs of LV remodeling at 3 months follow up. Age, smoking history, hypertension, dyslipidemia, Killip class, peak creatine phosphokinase - MB level, baseline left ventricular end diastolic volume (LVEDV), HLS, and harmed longitudinal strain rate (HLSR) were all factors that were found to be significantly associated with left ventricular remodeling (P&lt;0.05) in the univariate logistic regression analysis. The following factors were identified as independent predictors of left ventricular remodeling in multivariate logistic regression analysis: damaged left ventricular ejection fraction (EF) and end-systolic volume, peak troponin I, Killip class, culprit left anterior descending (LAD), 2 and 3-vessel coronary artery disease (CAD), and wall motion score index (WMSI). Conclusion: Earlier PCI in AMI helps earlier improvement in myocardial strain parameters. HLS and HLSR are excellent predictors for LV remodeling and may do better than global parameters.

Can resting lung function predict the response of a person living with motor neuron disease to a hypoxic challenge test?

People living with MND (PlwMND) are at risk of altitude-related hypoxia during flight. The Hypoxic Challenge Test (HCT) determines whether in-flight oxygen is required but can be expensive and inaccessible. To assist with travel recommendations, we investigated the relationship between altitude simulation-induced hypoxemia and baseline lung function. Retrospective audit of clinical database of PlwMND who had HCT and lung function. Pearson's correlation assessed relationships between oxygen saturation at altitude (AltSpO2) and lung function. Univariate logistic regression analysis and receiver operator characteristic (ROC) curves determined associations between lung function and HCT pass or fail. Between 2004-2023, 50 PlwMND were identified (median (IQR) diagnosis to HCT = 11.6 (16.9) months, mean ± SD forced vital capacity (FVC) = 2.4 ± 0.9 liters). Ten patients dropped below 85% SpO2 during testing (HCT fail). Baseline SpO2 was associated with AltSpO2 (r = 0.64) and predicted HCT pass or fail (OR 2.0 [95% CI 1.2-3.4], area under ROC curve (AUC) =0.8 [0.6-1.0]), as did FVC (AUC = 0.8 [0.6-0.9]). PlwMND with a FVC > 2.7L or a resting SpO2 > 97% are likely to pass HCT, whereas all those with FVC < 1L and SpO2 < 92% failed. PlwMND with FVC >2.7L or SpO2 >97% are unlikely to require oxygen or ventilatory supports for airline travel. A FVC below 2.7L will require a HCT to confidently determine HCT outcome, with testing still required for FVC <1L or baseline SpO2 <92%, to provide evidence to the airlines for in-flight respiratory support.

Incidence of Early Adverse Events Following Medial Patellofemoral Ligament Reconstruction.

The current literature lacks data regarding perioperative complications after medial patellofemoral ligament reconstruction (MPFLr). The objective of this study was to identify the incidence and predictors of adverse events in the first 90 days after MPFLr. Patients undergoing primary MPFLr between January 1, 2010, and December 31, 2019, were included. Predictors of readmission for any reason were identified using a multivariable logistic regression analysis. A total of 140 MPFLrs were included in the final analysis. Of these, 17 patients (12.1%) were admitted in the first 90 days after MPFLr. The most common reason for readmission was pain (7/140, 5%), followed by cellulitis (5/140, 3.5%). The only major complication was pulmonary embolism experienced by one patient (1/140, 0.7%). Univariate logistic regression analysis demonstrated that patients who ever smoked were 4.5 times (p = 0.005) more likely to be readmitted in the first 90 days. Although additional soft-tissue procedures increased the readmission rated by 21% (p = 0.810) and additional chondral procedure increased by 35% (p = 0.568), the multivariable analysis did not reveal a significant difference. Surgeons can use this information to counsel patients on what to expect following MPFLr.

Oral cyclophosphamide monotherapy in advanced resistant ocular cicatricial pemphigoid

Abstract: PURPOSE: The purpose of the study was to study the efficacy of oral cyclophosphamide monotherapy in advanced resistant ocular cicatricial pemphigoid (OCP). MATERIALS AND METHODS: This retrospective case series examines patients diagnosed with advanced resistant OCP at a uveitis tertiary care center who were treated with oral cyclophosphamide therapy. RESULTS: Seventeen patients were included in this study. The average age of the participants was 74.3 ± 10.3 years, ranging from 60 to 99 years. The gender distribution was 8 females to 9 males. Oral cyclophosphamide-induced remission in 7 patients (41.1%) and was prematurely discontinued in 10 patients (58.9%), with 7 (63.7%) citing ineffectiveness and 3 (36.3%) experiencing side effects as reasons for discontinuation. The average therapy dose of cyclophosphamide administered was 116.1 ± 47.5 mg. The average duration required for the induction of remission was 150 ± 128 days. The overall therapy duration averaged 306 ± 189 days. Conducting univariate logistic regression with generalized estimating equations (GEEs) on variables did not reveal statistically significant differences between the two groups (responsive and nonresponsive to oral cyclophosphamide therapy), except for the maximum dose of oral cyclophosphamide therapy (P = 0.007). CONCLUSION: The prognosis of advanced OCP in patients is unlikely to be altered by the stepladder approach and step-up strategy. While oral cyclophosphamide can be efficacious for remission induction in resistant and aggressive OCP cases, a step-down strategy employing less potent agents with safer side effect profiles should be contemplated for subsequent treatment.

PET/computed tomography radiomics combined with clinical features in predicting sarcopenia and prognosis of diffuse large B-cell lymphoma.

The study aimed to assess the role of 18F-fluorodeoxyglucose (FDG) PET/computed tomography (CT) radiomics combined with clinical features using machine learning (ML) in predicting sarcopenia and prognosis of patients with diffuse large B-cell lymphoma (DLBCL). A total of 178 DLBCL patients (118 and 60 applied for training and test sets, respectively) who underwent pretreatment 18F-FDG PET/CT were retrospectively enrolled. Clinical characteristics and PET/CT radiomics features were analyzed, and feature selection was performed using univariate logistic regression and correlation analysis. Sarcopenia prediction models were built by ML algorithms and evaluated. Besides, prognostic models were also developed, and their associations with progression-free survival (PFS) and overall survival (OS) were identified. Fourteen features were finally selected to build sarcopenia prediction and prognosis models, including two clinical (maximum standard uptake value of muscle and BMI), nine PET (seven gray-level and two first-order), and three CT (three gray-level) radiomics features. Among sarcopenia prediction models, combined clinical-PET/CT radiomics features models outperformed other models; especially the support vector machine algorithm achieved the highest area under curve of 0.862, with the sensitivity, specificity, and accuracy of 79.2, 83.3, and 78.3% in the test set. Furthermore, the consistency index based on the prognostic models was 0.753 and 0.807 for PFS and OS, respectively. The enrolled patients were subsequently divided into high-risk and low-risk groups with significant differences, regardless of PFS or OS (P < 0.05). ML models incorporating clinical and PET/CT radiomics features could effectively predict the presence of sarcopenia and assess the prognosis in patients with DLBCL.

Association of hypoalbuminemia with hospitalization and mortality in hemodialysis patients with COVID-19.

Hypoalbuminemia is associated with poor nutritional status and inflammatory response in infectious diseases. It is commonly observed in COVID-19 patients. The aim of this study is to assess the association of serum albumin with hospitalization and mortality in dialysis patients with COVID-19. We retrospectively collected 250 dialysis patients, with and without COVID-19. Demographic characteristics, clinical symptoms, and laboratory tests on admission or the confirmation of COVID-19 were collected. Univariate logistic regression model was used to evaluate the association of various factors with hospitalization and death in these patients. A total of 250 patients were included between December 1, 2022, and February 1, 2023, in our dialysis center. Among them, 218 were dialysis patients with COVID-19, and 32 were without COVID-19. Ten patients died due to COVID-19, and 8 patients had clinical data. In dialysis patients with COVID-19, a significant difference in serum albumin levels was observed between outpatients (37.28 ± 4.01 g/L) and hospitalized patients (33.42 ± 3.82 g/L), as well as between survivors (37.12 ± 4.07 g/L) and non-survivors (31.92 ± 2.52 g/L). Univariate logistic regression showed that the reduced albumin levels were associated with an increased risk of hospitalization and mortality in dialysis patients with COVID-19. Our study revealed that reduced serum albumin is associated with an increased risk of hospitalization and mortality in dialysis patients with COVID-19. Low serum albumin levels suggest a poor prognosis and nutritional support may improve clinical outcomes.

A digital pathology model for predicting radioiodine-avid metastases on initial post-therapeutic 131I scan in patients with papillary thyroid cancer.

Accurate postoperative assessment is critical for optimizing 131I therapy in patients with papillary thyroid cancer (PTC). This study aimed to develop a pathology model utilizing postoperative digital pathology slides to predict lymph node and/or distant metastases on post-therapeutic 131I scan after initial 131I treatment in PTC patients. A retrospective analysis was conducted on 229 PTC patients who underwent total or near-total thyroidectomy and subsequent 131I treatment after levothyroxine (LT4) withdrawal between January 2022 and August 2023. The pathology model was developed through two stages: patch-level prediction and WSI-level prediction. The clinical model was constructed using statistically significant variables identified from univariate and multivariate logistic regression analysis. Of the 229 patients, 19.6% (45/229) exhibited 131I-avid metastatic foci in post-therapeutic 131I scan. Multifactorial analysis identified stimulated thyroglobulin (sTg) as the sole independent risk factor. The AUC of the pathology model in the training and test cohorts were 0.976 (95% CI 0.948-1.000) and 0.805 (95% CI 0.660-0.951), respectively, which were significantly higher than the clinical model (AUC 0.652 and 0.548, Pall < 0.05). This model has the potential to serve as a valuable tool for clinicians in tailoring treatment strategies, thereby optimizing therapeutic outcomes for PTC patients.

Association between the serum albumin–creatinine ratio and 28-day intensive care unit mortality among patients with sepsis: a multicenter retrospective cohort study

IntroductionSepsis is a substantial global health challenge with a considerable disease burden. Despite advancements in sepsis research, the mortality rates associated with this condition remain high. The relationship between the serum albumin-to-creatinine ratio (sACR) and mortality in patients with sepsis remains unclear. Therefore, this study aimed to investigate the association between the sACR and 28-day mortality in intensive care unit (ICU) patients with sepsis.MethodsIn this retrospective cohort study, we used data sourced from the eICU Collaborative Research Database. The primary exposure variable was sACR, and the primary outcome measure was mortality within 28 days after ICU admission. Statistical analyses included univariate and multivariate logistic regression models, generalized additive models, and two-piecewise linear regression models, which were employed to explore non-linear relationships and threshold effects between sACR and mortality.ResultsThe study cohort comprised 9,690 ICU patients with sepsis, with a 28-day mortality rate of 9.99%. The results of the multivariate logistic regression model indicated that elevated sACR levels were significantly associated with a reduced risk of mortality (odds ratio = 0.78, 95% confidence interval: 0.71–0.87, p &amp;lt; 0.001), even after adjusting for potential confounding variables. Curve fitting revealed a non-linear relationship between sACR and 28-day mortality, with an inflection point of 4.79.DiscussionThis study demonstrated that sACR is an independent risk factor for 28-day mortality in ICU patients with sepsis, exhibiting a non-linear negative dose–response relationship and a threshold effect. These findings may serve as early warning indicators in high-risk populations.

Take Two: Second Systolic Blood Pressure Provides Prognostic Information in Trauma

Abstract Introduction: An initial systolic blood pressure (SBP1) of &lt;110 mmHg has been shown to predict mortality. However, SBP1 may not reflect hemodynamic changes during initial resuscitation. We aimed to determine if the second recorded blood pressure (SBP2) could provide additional prognostic value. Methods: An 8-year retrospective chart review was performed including patients who underwent trauma activations at a single institution. The initial systolic blood pressure (SBP 1) and second systolic blood pressure (SBP 2) were analyzed. Difference between the first and second systolic blood pressure (ΔSBP) was defined as SBP2 − SBP1. The primary outcome was inhospital mortality, and the secondary outcome was receipt of ≥2 units of blood in the first 4 h of admission. Univariable analysis and logistic regression analysis were performed to assess the relationship of SBP2 and ΔSBP with the study outcomes. Regression model fit was assessed by the likelihood ratio test and Akaike information criterion. Results: Eight thousand seven hundred and ninety-eight patients were included with 12% and 13% presenting with SBP1 &lt;110 mmHg and SBP2 &lt;110 mmHg, respectively. Four hundred and six (5%) died and 327 (4%) received ≥2 units of blood in the first 4 h. The addition of ΔSBP to regression models improved model fit in explaining the primary and secondary outcomes. Subgroup analysis found that the addition of ΔSBP improved model fit for those with penetrating mechanism of injury and those with Injury Severity Score of ≥9, but not for those with blunt moderate or severe traumatic brain injury. Conclusion: SBP2 offers additional prognostic value in predicting trauma outcomes. Incorporating subsequent hemodynamic data during resuscitation beyond the initial SBP in trauma databases should be considered.

Analysis of Contributing Factors to Stunting in Poso Regency: A Perspective from the Special Stunting Handling Index

Introduction: The prevalence of stunting in children in Indonesia, including Poso Regency, remains relatively high despite a decrease in recent years. This study aims to analyze factors associated with stunting in Poso Regency. Methods: This study employed a cross-sectional analytical method with a sample size of 250 mothers and their children under 2 years old, using structured questionnaires and direct measurements to collect data. Univariate analysis, chi-square tests and binary logistic regression were performed with a final report of adjusted odds ratios (AORs) and 95% confidence intervals (CI). All of the analyses used Stata version 15. Results: Results indicate a significant association between stunting and the child's gender, maternal education, immunization, and breastfeeding. Boys face a 2.3 times higher risk of stunting, while children of mothers with primary education have a 4.7 times higher risk compared to those with higher education. Non-immunized and non-breastfed children also exhibit significantly higher stunting risks. Conclusion: The study underscores the impact of factors such as the child's sex, maternal education, immunization, and breastfeeding on stunting in Poso Regency. The study emphasizes the need for targeted educational programs by healthcare professionals, policy-driven nutritional support initiatives, and community-based awareness campaigns to effectively address stunting in Poso Regency.

Development and validation of a prognostic model for cachexia in postoperative gastric cancer patients with low nutritional risk: a dual-center retrospective cohort study.

Gastric cancer can lead to excessive catabolism in patients. After undergoing gastric surgery, patients may experience additional unintended weight loss, resulting in severe malnutrition and potentially cachexia. We selected and incorporated patients from two centers. Cohort 1 (n = 1393) served as the development cohort, while cohort 2 (n = 501) was designated as an external validation cohort. Within cohort 1, 70% of the patients were utilized for model training, with the remaining 30% reserved for internal validation. The training set initially underwent univariate logistic regression, followed by multivariate logistic regression. The factors ultimately incorporated were used to construct the model and create nomograms. The discriminative ability was assessed using ROC curves in all three datasets, calibration curves were used to evaluate consistency, and decision curves analysis was performed to assess the clinical application value. The model incorporated 12 factors, specifically: age (OR = 1.07), preoperative BMI (OR = 0.89), surgery type (Total Gastrectomy (TG), OR = 1.83), chemotherapy (yes, OR = 1.52), stage (III, OR = 1.40), anastomotic obstruction (yes, OR = 6.85), Postsurgical Gastroparesis Syndrome (PGS) (yes, OR = 2.27), albumin (OR = 0.95), hemoglobin (OR = 0.98), triglycerides (OR = 0.36), CRP (OR = 1.07), and Neutrophil to Lymphocyte Ratio (NLR) (OR = 1.05). The model demonstrated robust performance in ROC with AUC values of 0.805 in the training set, 0.767 in the validation set, and 0.795 in Cohort 2. Calibration curves in all three datasets exhibited a high degree of concordance between actual and predicted probabilities. Decision curve analysis (DCA) indicated that the model holds substantial clinical utility across all three datasets. We have developed a predictive model for cachexia in patients undergoing gastric cancer surgery. This model enables healthcare professionals to accurately estimate the risk of cachexia in postoperative patients with nutritional deficits, allowing for timely nutritional interventions to enhance patient quality of life and prognosis.

Point-of-care lung ultrasound for continuous positive airway pressure discontinuation in preterm infants.

To determine if the lung ultrasound score (LUS) is predictive of successful continuous positive airway pressure (CPAP) discontinuation in preterm neonates born <32 weeks' gestation with history of respiratory distress syndrome. Retrospective study of preterm infants requiring CPAP. Univariate and multivariate logistic regression performed to formulate a predictive score using clinical variables with and without LUS. Area under the curve (AUC) was compared to determine the added predictive ability of LUS. Forty-one patients with discontinuation attempts associated with a LUS were included. Lower LUS obtained within 0-7 days prior to CPAP discontinuation was associated with successful CPAP discontinuation (OR 0.46 [0.23, 0.91]; p = 0.025). Cross-validated AUC for clinical variables alone (Model 1) was 0.85 (95% CI: 0.74-0.93) versus 0.90 (95% CI: 0.81-0.97) when LUS was incorporated (Model 2, p < 0.001). AUC of LUS alone was 0.83 (95% CI: 0.68-0.93, p < 0.0001). In preterm infants requiring CPAP, LUS aids in the prediction of successful CPAP discontinuation and may significantly improve a predictive tool.