Annals of medicine最新文献

Background: Malnutrition is prevalent in patients with inflammatory bowel disease (IBD); however, its ability to predict the disease activity in IBD remains unexplored. Therefore, this study aimed to explore the association between malnutrition and disease activity in IBD.

Methods: In this retrospective study, we enrolled 1006 patients diagnosed with IBD from the First Affiliated Hospital of Wenzhou Medical University from 2011 to 2022. Malnutrition was assessed based on the prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and controlling nutritional status (CONUT) scores. Logistic regression analyses were performed to identify predictors for disease activity. Restricted cubic spline analysis was performed to evaluate the possible nonlinear relations, and subgroup analysis was performed to explore potential interactions. Additionally, prediction performances were compared through receiver operating characteristic curves, net reclassification improvement, and integrated discrimination improvement.

Results: The prevalence of malnutrition calculated by the PNI, GNRI, and CONUT scores in IBD was 16.9%, 72.1%, and 75.6%, respectively and significant correlations were observed among them. Multivariate logistic regression analysis showed that PNI, GNRI, and CONUT were independent risk factors for disease activity, and no significant nonlinear relationship was observed between disease activity and all three indexes. No statistically significant interactive effect was found in nearly all the subgroups. GNRI showed the highest predictive value compared with PNI and CONUT. Additionally, combining any of the three indexes improved the ability of C-reactive protein to predict IBD activity.

Conclusions: All three nutritional indexes evaluated malnutrition to be an independent risk factor for IBD activity.

Background: While severe postoperative complications (SPCs) impact cancer prognosis, their effect on locally advanced esophageal squamous cell carcinoma (ESCC) patients with varying immunonutritional statuses after minimally invasive esophagectomy (MIE) is unclear.

Methods: This retrospective study analyzed 442 patients with locally advanced ESCC who underwent MIE, investigating the relationship between SPCs and survival based on preoperative immunonutritional status, determined by the prognostic nutritional index (PNI). Nomograms were developed for patients with preserved immunonutritional status using Cox regression, and their performance was assessed.

Results: Of the patients, 102 (23.1%) experienced SPCs after MIE. Five-year overall survival (OS) and disease-free survival (DFS) were significantly different between SPCs and non-SPCs groups (p < 0.001). In the preserved immunonutritional group, SPCs significantly reduced 5-year OS (p = 0.008) and DFS (p = 0.011), but not in the poor immunonutritional group (OS p = 0.152, DFS p = 0.098). Multivariate Cox regression identified SPCs as an independent risk factor for OS (HR = 1.653, p = 0.013) and DFS (HR = 1.476, p = 0.039). A nomogram for predicting OS and DFS in preserved immunonutritional patients demonstrated excellent performance.

Conclusions: SPCs significantly affect prognosis in ESCC patients with preserved immunonutritional status after MIE. Nomograms based on SPCs can predict OS and DFS in these patients.

Background: Heart failure (HF) remains a significant health problem despite advances in diagnosis and treatment options. Malnutrition and increased inflammation predict poor disease prognosis. The parameters of the Naples prognostic score (NPS) include albumin, total cholesterol, neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR). We aimed to assess the potential of NPS as a predictor of long-term mortality in patients with HF.

Methods: A total of 1728 patients with HF who applied to our center between 2018 and 2022 were included in this study. The NPS was computed and the patients were divided into three groups according to their NPS values as follows: NPS = 0 (Group 1), NPS = 1-2 (Group 2), and NPS = 3-4 (Group 3). We also evaluated the association between NPS value and HF mortality.

Results: The patients were followed for a mean follow-up duration of 30 months. The mortality rate was 8.3% (145 patients). We carried out Model-1 and -2 Cox regression analyses to identify long-term mortality determinants. Model-2 was constructed by adding NPS to Model-1. NPS was significantly associated with HF mortality (Hazard Ratio: 2.194, 95% Confidence Interval: 1.176-4.091, p = 0.014). According to the Kaplan-Meier plot and log-rank analyses, there was a statistically significant difference in the long-term mortality of patients with HF and their NPS values for the entire cohort.

Conclusion: Based on our findings, NPS showed promise as an independent predictor of long-term mortality in individuals with HF.

Background: Understanding the determinants that limit the population's access to surgical care in health services is highly relevant in order to provide data to support political interventions.

Objective: This study aimed to evaluate the time between diagnosis and elective surgery in adult patients with the longest waiting lists in Brazil; identify the determinants that interfere with access to the health service to perform surgery; and analyze the quality of life after the indicative diagnosis of surgical intervention.

Methods: A cross-sectional study was conducted with adult patients treated at three hospitals in the Southeast, North and South regions of Brazil, from October 2020 to October 2022. Data collection included socio-demographic data and assessment of quality of life using the WHOQOL-Bref instrument in the immediate postoperative period and one month after surgery.

Results: A total of 250 patients participated in the study, 55.6% patients from the Southeast, 20.4% patients from the North and 24% patients from the South, with a mean age of 51.86 (SD = 14.27) years and clinical history such as arterial hypertension (p < 0.001). The longest mean waiting time for surgery identified was 26.23 (SD = 17.62) months in the South region, with a significant difference between the evaluated institutions (p = 0.02). Differences were observed between the first place of care of the evaluated patients (p < 0.001). There was a difference in the perception of quality of life between the immediate and late postoperative periods (p = 0.007) and in the physical domain, with an increase in scores among older patients (p = 0.004) and previous clinical history (p = 0.03).

Conclusion: Access to the health system varies by region and does not meet the standards proposed by the Brazilian health system. In addition, it seems that longer waiting times for surgery more perceptibly affect the quality of life of older adults and those with other associated diseases.

Introduction: Multimorbidity is increasing globally, emphasizing the need for effective self-management strategies. The Cumulative Complexity Model (CuCoM) offers a unique perspective on understanding self-management based on workload and capacity. This study aims to validate the CuCoM in multimorbid patients and identify tailored predictors of self-management.

Methods: This multicenter cross-sectional survey recruited 1920 multimorbid patients in five primary health centres and four hospitals in China. The questionnaire assessed workload (drug intake, doctor visits and follow-up, disruption in life, and health problems), capacity (social, environmental, financial, physical, and psychological), and self-management. Data were analyzed using latent profile analysis, chi-square, multivariate linear regression, and network analysis.

Results: d Patients were classified into four profiles: low workload-low capacity (10.2%), high workload-low capacity (7.5%), low workload-high capacity (64.6%), and high workload-high capacity (17.7%). Patients with low workload and high capacity exhibited better self-management (β = 0.271, p < 0.001), while those with high workload and low capacity exhibited poorer self-management (β=-0.187, p < 0.001). Social capacity was the strongest predictor for all profiles. Environmental capacity ranked second for 'high workload-high capacity' (R² = 3.26) and 'low workload-low capacity' (R² = 5.32) profiles. Financial capacity followed for the 'low workload-high capacity' profile (R² = 5.40), while psychological capacity was key in the 'high workload-low capacity' profile (R² = 6.40). In the network analysis, socioeconomic factors exhibited the central nodes (p < 0.05).

Conclusions: Personalized interventions designed to increase capacity and reduce workload are essential for improving self-management in multimorbid patients. Upstream policies promoting health equity are also crucial for better self-management outcomes.

Background and objective: Leucine-rich alpha-2 glycoprotein (LRG) is a novel biomarker for Crohn's disease (CD). The utility of combination use of LRG and C-reactive protein (CRP) has not been reported. This study aimed to investigate the diagnostic performance of LRG in combination with CRP to predict endoscopic activity.

Methods: A single-centre, retrospective, cross-sectional study was conducted. Patients with CD who had serum LRG concentrations measured at least once between June 2020 and May 2021 were enrolled. Clinical activity was evaluated with the Harvey-Bradshaw Index (HBI). Spearman's rank correlation coefficient (r_s) was used to analyse the correlations between the HBI, LRG concentrations and CRP concentrations. In patients undergoing ileocolonoscopy or balloon-assisted enteroscopy within 60 days before or after LRG measurement, endoscopic activity was evaluated with the simple endoscopic score for Crohn's disease (SES-CD). The diagnostic performance of LRG and CRP for endoscopic activity was evaluated using receiver operating characteristic (ROC) analysis.

Results: Four hundred and eighty-nine measurements in 343 patients were analysed. Although a strong correlation was found between LRG and CRP concentrations (r_s = 0.75), the HBI did not well correlate with LRG or CRP concentrations. Endoscopic activity was analysed in 56 patients. In diagnosing endoscopically moderate to severe activity (SES-CD > 6), the area under the ROC curve of LRG was greater than that of CRP (0.74 vs. 0.63; p = .037). The optimal cut-off value estimated by Youden's index was 15.5 µg/mL for LRG, and 0.13 mg/dL for CRP. LRG and CRP concentrations were considered positive when they were above these cut-off values, and the sensitivity and specificity for an SES-CD > 6 were 58.3% and 93.8%, respectively. Dual positivity of LRG and CRP showed the highest specificity.

Conclusions: Combination use of dual positive LRG and CRP is useful for diagnosing endoscopically moderate to severe disease.

Objective: This research aimed to analyze the impact of hemorrhagic fever with renal syndrome (HFRS) with acute pancreatitis (AP) on the severity and prognosis of patients, screen the risk factors of HFRS with AP, and establish a nomogram model.

Methods: Data were collected from HFRS patients at the First Affiliated Hospital of Dali University and Dali Prefecture People's Hospital (2013-2023). Patients were divided into HFRS with AP (n = 34) and HFRS without AP groups (n = 356). Propensity Score Matching (PSM) and logistic regression analyzed the impact of AP on HFRS severity and short-term prognosis. LASSO-Logistic regression was used to screen risk factors and develop a nomogram model.

Results: After PSM, HFRS patients with AP had higher rates of Continuous Renal Replacement Therapy (CRRT) and/or mechanical ventilation use, , ICU admission, and 30-day mortalitycompared with those without AP (p < 0.05). Further analysis revealed that smoking (OR: 3.702), ferritin (OR: 1.002), white blood cell (OR), fibrinogen (OR: 0.463), and platelet (OR: 0.987) were risk factors for HFRS with AP (p < 0.05). A nomogram model was constructed based on these factors, to predict the risk of HFRS with AP, with an Area Under the Curve (AUC) of 0.90 (95% CI: 0.84-0.95). Additionally, the model calibration curve fit well according to the Hosmer-Lemeshow test (χ²=8.51, p = 0.39).

Conclusion: Patients with HFRS with AP exhibit higher disease severity and poorer prognosis. Smoking, elevated ferritin and white blood cell levels, decreased fibrinogen and platelet levels are more susceptible to developing AP.

Introduction: Latinx individuals are disproportionately affected by alcohol use disorder (AUD). Understanding Latinx individuals' barriers and facilitators to reach AUD-related goals can help implement culturally and linguistically concordant interventions to improve alcohol-related outcomes.

Methods: We conducted semi-structured qualitative interviews with Latinx, Spanish-speaking men with AUD within 20 weeks of hospital discharge who were seen by an addiction consult team during hospitalization in an urban, safety-net hospital in San Francisco. Interviews focused on the facilitators and barriers to participants' AUD-related goals pre-, during, and post-hospitalization. We recorded and transcribed interviews and used a mixed deductive and inductive analytic approach until we reached thematic saturation (n = 10).

Results: We identified three major themes: 1. Hospitalization was an actionable moment for change; 2. Social factors were closely intertwined with AUD goals; and 3. Accessible addiction, physical health, and mental health services can help achieve AUD goals.

Conclusions: Hospitalization may serve as a facilitator for Latinx individuals with AUD to achieve AUD goals. Addressing social determinants of health including housing, immigration status, and social support networks before, during, and after hospitalization, may help facilitate AUD goals. Providing language-concordant and accessible services may decrease barriers to achieving AUD goals.

Background: The global seasonal influenza activity has decreased during the coronavirus disease 2019 (COVID-19) pandemic. Non-pharmaceutical interventions (NPIs), such as reducing gatherings and wearing masks, can have varying impacts on the spread of influenza. We aim to analyse the basic characteristics, epidemiology and space-time clustering of influenza in Quzhou city before and after the COVID-19 pandemic based on five years of surveillance data.

Methods: Influenza case incidence data from 2018-2023 were collected and organized in Quzhou City to analyse the space-time aggregation of influenza incidence before and after COVID-19 pandemic through global spatial autocorrelation analysis and space-time scan analysis methods.

Results: The annual average fluctuation of influenza in Quzhou City from 2018-2023 was large, with gradual decreases in 2019-2020, 2020-2021 and 2021-2022, all of which showed obvious winter and spring peaks; The highest incidence rate in 2022-2023, with a bimodal distribution. The majority of the population is under 15 years of age, accounting for more than 70% of the population. The population classification is dominated by students, nursery children and children in the diaspora. In 2020-2021, the cases in the student group of the 5-14 years old population declined. Global spatial autocorrelation analysis of influenza incidence rate in Quzhou City in each year of 2019-2023Moran's I > 0 and p < 0.05. Space-time scan analysis of the aggregation area is located in Longyou County and the township streets on the border of urban counties, and the number of aggregation areas decreased significantly in 2020-2021 and 2021-2022.

Conclusion: The COVID-19 pandemic has an important impact on changes in influenza incidence levels and spatial and temporal epidemiologic aggregation patterns. Influenza incidence in Quzhou City fluctuates widely, with large changes in the age and occupational composition ratios of the incidence population, and influenza incidence presents a more pronounced spatial correlation and aggregation.

Background: Vaccination is one of the best ways to control the SARS-CoV-2 outbreak. In Taiwan, healthcare workers were prioritized for vaccination, but the effectiveness of these vaccines for them remains unclear. Thus, it's essential to examine their neutralizing antibodies after prime-boost vaccinations.

Methods: In this prospective observational study, 514 healthcare workers from Chang Gung Memorial hospitals in Taiwan were included between 19 March 2021 and 21 August 2021. The two doses of COVID-19 vaccines were either a match or a mixing of AZD1222 and mRNA-1273, e.g. AZD1222 + AZD1222 (n = 406), mRNA-1273 + mRNA-1273 (n = 62), and AZD1222 + mRNA-1273 (n = 46). Blood specimens were drawn after two doses of vaccines, defined as post-vaccine days [median 34.00 days and interquartile range (IQR) 29.00-42.00 days], and examined for the neutralizing antibodies via SARS-CoV-2 neutralization kits. The results were analyzed as a percentage of inhibition based on the negative control.

Results: After 2 vaccination doses, subjects with AZD1222 + mRNA-1273 (median 97.15%, IQR 96.06-98.06%) and mRNA-1273 + mRNA-1273 (median 97.47%, IQR 96.75-97.89%) exhibited higher neutralizing antibodies than those receiving AZD1222 + AZD1222 vaccines (median 71.28%, IQR 49.39-89.70%) (the percentage was referred to inhibition of surrogate virus). The post-vaccination days negatively impacted the neutralizing antibodies, except for the mRNA-1273 + mRNA-1273 group. The presence of fever, headache, and myalgia after the second dosage was reflected in the higher neutralizing antibodies (median of no fever 76.00% vs. fever 97.00%, p < 0.0001; median of no headache 76.00% vs. headache 95.00%, p < 0.0001; median of no myalgia 75.50% vs. myalgia 96.00%, p < 0.0001). The subjects with underlying diseases, including hypertension and cancer showed lower neutralizing antibodies (median of no hypertension 81.00% vs. hypertension 56.00%, p = 0.0029; median of no cancer 81.00% vs. cancer 56.00%, p = 0.0143).

Conclusion: Heterologous prime-boost vaccines (AZD1222 + mRNA-1273) and two doses of mRNA vaccines are recommended. For future directions, we need to investigate the effectiveness of the vaccination against new SARS-CoV-2 variants.