Prevalence and unfavorable outcome of frailty in older adults with gastric cancer: a systematic review and meta-analysis.

BACKGROUND AND AIM: Previous studies reported inconsistent results on the prevalence and prognostic implications of frailty among older adults with gastric cancer. This systematic review synthesized available literature pertaining on this topic to establish the prevalence and unfavorable outcomes of frailty in older adults with gastric cancer. METHODS: A comprehensive search was conducted across multiple English databases including PubMed, Cochrane Library, CINAHL, Embase, and Web of Science as well as Chinese databases, namely, CNKI, Wan Fang, and CBM, from inception to July 4, 2023, to identify potential studies. Data related to the incidence of frailty and its unfavorable outcomes in older adults with gastric cancer were extracted. RevMan5.3 and R 4.2.2 were used to evaluate pooled prevalence, hazard ratios (HR), and 95% confidence interval (CI). RESULTS: This review comprehensively selected 13 studies, comprising 9 cohort studies and 4 cross-sectional studies, on 44,117 older adults diagnosed with gastric cancer. The incidence of frailty among older adults with gastric cancer ranged from 10 to 71%. The pooled prevalence of frailty was 29% (95% CI 0.21-0.39). Frailty was found to be associated with an elevated risk of postoperative complications (HR = 1.99, 95% CI 1.45-2.73), prolonged postoperative hospital stay (HR = 2.68, 95% CI 2.38-3.02), likelihood of readmission (HR = 3.28, 95% CI 1.77-6.08), and an increased mortality risk (HR = 1.60, 95% CI 1.36-1.90). CONCLUSIONS: Frailty was associated with a poor prognosis in older adults with gastric cancer. Clinical medical staff should focus on the frailty of older adults with gastric cancer, conduct large-scale, multicenter, and prospective studies and early screening of patients, and provide guidance for the implementation of prevention and treatment strategies.

Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization.

Learning invariant (causal) features for out-of-distribution (OOD) generalization have attracted extensive attention recently, and among the proposals, invariant risk minimization (IRM) is a notable solution. In spite of its theoretical promise for linear regression, the challenges of using IRM in linear classification problems remain. By introducing the information bottleneck (IB) principle into the learning of IRM, the IB-IRM approach has demonstrated its power to solve these challenges. In this paper, we further improve IB-IRM from two aspects. First, we show that the key assumption of support overlap of invariant features used in IB-IRM guarantees OOD generalization, and it is still possible to achieve the optimal solution without this assumption. Second, we illustrate two failure modes where IB-IRM (and IRM) could fail in learning the invariant features, and to address such failures, we propose a Counterfactual Supervision-based Information Bottleneck (CSIB) learning algorithm that recovers the invariant features. By requiring counterfactual inference, CSIB works even when accessing data from a single environment. Empirical experiments on several datasets verify our theoretical results.

Correlates of stigma for patients with breast cancer: a systematic review and meta-analysis.

OBJECTIVE: This study was conducted to examine the factors associated with stigma in breast cancer women. METHODS: PubMed, Embase, the Cochrane Library, Web of Science, and two Chinese electronic databases were electronically searched to identify eligible studies that reported the correlates of stigma for patients with breast cancer from inception to July 2022. Two researchers independently performed literature screening, data extraction, and risk of bias assessment. R4.1.1 software was used for statistical analysis. RESULTS: Twenty articles including 4161 patients were included in the systematic review and meta-analysis. Results showed that breast cancer stigma was positively correlated with working status, type of surgery, resignation coping, depression, ambivalence over emotional expression, and delayed help-seeking behavior and negatively correlated with age, education, income, quality of life, social support, confrontation coping, psychological adaptation, self-efficacy, and self-esteem. Descriptive analysis showed that breast cancer stigma was positively correlated with intrusive thoughts, body image, anxiety, and self-perceived burden but negatively correlated with a sense of coherence, personal acceptance of the disease, sleep quality, cancer screening attendance and doctor's empathy. CONCLUSION: Many demographic, disease-related, and psychosocial variables are related to breast cancer stigma. Our view can serve as a basis for health care professionals to develop health promotion and prevention strategies for patients with breast cancer.

Curcumin amends Ca2+ dysregulation in microglia by suppressing the activation of P2X7 receptor.

Curcumin (Cur) is widely used as an anti-inflammation agent and has anti-depression potential. Neuroinflammation mediated by Ca2+ channel activation is closely associated with the progression of post-stroke depression (PSD). In the current study, the role of P2X7 receptor (P2X7R) in the anti-PSD function of Cur was explored. Rats were subjected to middle cerebral artery occlusion (MCAO) surgery and chronic mild stress administration to induce PSD symptoms and then treated with Cur. The behaviors of rats were assessed with sucrose preference and forced swim tests. The accumulation of Ca2+ and the systemic inflammatory response in rats were detected. To determine the role of P2X7R in the anti-PSD function of curcumin, the PSD mice were further administrated with P2X7R agonist and antagonist. The administration of Cur attenuated behavior disorders associated with PSD. Moreover, the Ca2+ accumulation and the inflammatory response associated with PSD were also blocked by Cur. Cur also inhibited the activation of Ca2+ channel. The induced activity of P2X7R blocked the function of Cur by maintaining the symptoms of PSD in Cur-treated rats. Collectively, the anti-PSD function of Cur was dependent on the inhibition of P2X7R, which then deactivated Ca2+ channel-mediated inflammatory response associated with PSD progression.

Nobiletin suppresses high-glucose-induced inflammation and ECM accumulation in human mesangial cells through STAT3/NF-κB pathway.

Diabetic nephropathy (DN) is a complication of chronic diabetes and the main cause of end-stage renal disease all over the world. Inflammation and extracellular matrix (ECM) accumulation play important roles in the pathogenesis of DN. Evidence suggested that nobiletin acts anti-inflammatory role and plays a critical role in diabetes; however, its role in DN remains unclear. In the current study, we promulgated the nobiletin involved in high-glucose-induced glomerular mesangial cell inflammation and ECM accumulation. Nobiletin treatment significantly abrogated high-glucose-induced glomerular mesangial cell proliferation. Nobiletin treatment markedly suppressed inflammation cytokine secretion, including interleukin (IL)-1ß, IL-6, tumor necrosis factor α, and monocyte chemoattractant protein 1 in high-glucose-induced glomerular mesangial cell. Also, exposed nobiletin to high-glucose-induced glomerular mesangial cell considerably reduced ECM accumulation through inhibited ECM-associated protein type 4 collagen and fibronectin expression. Furthermore, nobiletin treatment abolished nuclear factor κB (NF-κB) pathway activation through signal transducer and activator of transcription 3 (STAT3) inhibition. Overexpression STAT3 reversed the effects of nobiletin on high-glucose-induced glomerular mesangial cell proliferation, inflammation, ECM accumulation, and NF-κB pathway activation. Hence, our results suggest that nobiletin play roles in high-glucose-induced glomerular mesangial cells through inhibiting inflammation and ECM accumulation, and the STAT3/NF-κB pathway was involved in the function of nobiletin.

Epidemiologic Survey of Japanese Encephalitis Virus Infection, Tibet, China, 2015.

We investigated Japanese encephalitis virus (JEV) prevalence in high-altitude regions of Tibet, China, by using standard assays to test mosquitoes, pigs, and humans. Results confirmed that JEV has spread to these areas. Disease prevention and control strategies should be used along with surveillance to limit spread of JEV in high-altitude regions of Tibet.

Up-regulation of CRKL by microRNA-335 methylation is associated with poor prognosis in gastric cancer.

BACKGROUND: MicroRNAs have been suggested to play a vital role in regulating carcinogenesis, tumor progression and invasion. MiR-335 is involved in suppressing metastasis and invasion in various human cancers. However, the mechanisms responsible for the aberrant expression of miR-335 in gastric cancer (GC) remain unknown. METHODS: Expression of miR-335 in four GC cell lines and 231 GC tissues was determined by real-time quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR). DNA methylation status in the CpG islands upstream of miR-335 in GC cell lines and tissues was determined by methylation-specific PCR and bisulfite sequence-PCR. The effects of the demethylating agent 5-aza-2'-deoxycytidine on cell proliferation, apoptosis, cell cycle, migration, and invasion were investigated in GC cell lines. RESULTS: Cancer-specific methylation was detected in the upstream CpG-rich regions of miR-335, which dramatically silenced its transcriptional activity in GC cell lines and tissues. Low levels of miR-335 expression and high levels of miR-335 methylation in GC tissues were associated with poor clinical features and prognosis. Restoration of miR-335 expression in GC cells promoted cell apoptosis, inhibited tumor cell migration, invasion, and proliferation, and arrested the cell cycle at G0/G1 phase. Overexpression of miR-335 significantly reduced the activity of a luciferase reporter containing the 3' untranslated region of V-crk avian sarcoma virus CT10 oncogene homolog-like (CRKL). CONCLUSIONS: MiR-335 functions as a tumor suppressor and may be silenced by promoter hypermethylation. It plays a role in inhibiting tumor cell migration, invasion, and proliferation, arresting the cell cycle at G0/G1 phase, and promoting apoptosis in GC cells through targeting CRKL.

Expression and Significance of Th17 and Treg Cells in Pulmonary Infections with Gram-Negative Bacteria.

The aim of this study was to investigate the expression and significance of T helper type 17 (Th17) and regulatory T (Treg) cells in severe pulmonary infection with gram-negative bacteria (GNB). The peripheral venous blood (PVB) and bronchoalveolar lavage fluid (BALF) were collected from patients receiving mechanical ventilation in the intensive care unit (ICU) owing to: (1) pulmonary GNB infection (group I) and (2) nonpulmonary infection (group NI). Patients from the two groups were matched based on their Acute Physiology and Chronic Health Evaluation II (APACHE II) scores and were recruited in the same period. The levels of Th17 and Treg cells in the PVB and BALF were measured by flow cytometry. (1) The levels of Th17 and Treg cells in the PVB and BALF of the infection group (I) were significantly higher than those of the noninfection group (NI) (p < 0.01), and the levels decreased significantly after treatment (p < 0.01). (2) The Treg/Th17 cell ratio in the PVB and BALF of group I was significantly lower than those of group NI and after treatment (p < 0.01). (3) The levels of Th17 and Treg cells in the PVB and BALF could not predict the 28-day mortality (p > 0.05). The expression of Th17 and Treg cells was abnormal in patients with severe pulmonary GNB infection. Our data suggest an overactive immune response in the early stages of inflammation, but the levels of Treg and Th17 cells failed to predict the 28-day mortality.

Type D personality is associated with delaying patients to medical assessment and poor quality of life among rectal cancer survivors.

OBJECTIVE: The aim of this research was to explore quality of life (QoL), mental health status, type D personality, symptom duration, and emergency admissions of Chinese rectal cancer patients as well as the relationship between these factors. METHODS: Type D personality was measured with the 14-item Type D Personality Scale (DS14). Mental health status was measured with the Hospital Anxiety and Depression Scale (HADS). The QoL outcomes were assessed longitudinally using the European Organization for Research and Treatment of Cancer QLQ-C30 and QLQ-CR38 questionnaires at the baseline and 6 months after diagnosis. RESULTS: Of the 852 survivors who responded (94 %), 187 (22 %) had a type D personality. The proportion of patients with duration of symptoms >1 month and being diagnosed after emergency admissions in type D group is significantly higher than that in non-type D group. At both of the time points, type D patients reported statistically significant lower scores on most of the functional scales, global health status/QoL scales, and worse symptom scores compared to patients without a type D personality. At the 6-month time point, a higher percentage of patients in the type D group demonstrated QoL deterioration. Clinically elevated levels of anxiety and depression were more prevalent in type D than in non-type D survivors. CONCLUSIONS: Type D personality was associated with poor QoL and mental health status among survivors of rectal cancer, even after adjustment for confounding background variables. Type D personality might be a general vulnerability factor to screen for subgroups at risk for longer symptom duration and emergency admissions in clinical practice.

Multicenter Analysis of Clinical Follow-Ups in Patients with a Star GK Cardiac Valve Replacement for More than One Year.

BACKGROUND: Star GK valves were widely used in China, and we studied the clinical follow-up results of patients with Star GK valve implants for more than one year.  METHODS: Clinical data were collected from those patients who had Star GK valve implants for over one year. Patients were divided into three groups: (1) AVR group: received aortic valve replacement surgery. Based on the valve model this group was further sub-divided into two groups: 21A group, and 23A group; (2) MVR group: received mitral valve replacement surgery. Based on the valve model this group was further sub-divided into three groups: 25M group, 27M group, and 29M group; (3) DVR group: received combined replacement surgeries including AVR + MVR. According to postoperative follow-up time these patients were divided into two groups: 1-year group and 3-year group. Follow-up data were collected by telephone, outpatient visits, or correspondence. Clinical data were aggregated by professional data scientists to conduct independent analyses.  RESULTS: 959 patients were included in the study following Star GK valve implant. Follow-up after 1 year found that thrombosis occurred in 4 cases, hemorrhage in 15 cases, left heart failure in 13 cases, paravalvular leakage in 5 cases, and death due to cardiac causes in 2 cases.  CONCLUSION: The long-term efficacy of Star GK valve implants was satisfactory with low incidence of valve-related complications, and following Star GK valve implant, valve and blood were highly compatible and blood component damage was minor. Very low incidence rate of thrombosis was observed following Star GK valve implant, however, attention should be paid to adjust the anticoagulation intensity.

[A multi-center, double-blind, placebo-controlled, randomized trial for effect of Longxue Tongluo capsule in treatment of patients of atherosclerotic thrombotic cerebral infarction with blood-stasis syndrome in convalescence].

To evaluate the effectiveness and safety of Longxue Tongluo capsule on patients of atherosclerotic thrombotic cerebral infarction convalescence with blood-stasis syndrome, a double-blind, randomized controlled, multi-center clinical trial was conducted. A total of 160 eligible patients were randomly divided into treatment group and control group, with 80 patients in each group, and all of them were orally given Troxerutin pill(three pills each time, three times daily). Longxue Tongluo capsule was applied in the treatment group, while placebo was applied in the control group(two capsules each time, three times daily) for 4 weeks. Main outcomes were measured by ITT analysis. The neurological function deficits scale showed a decrease of 5.17±2.60 in the treatment group, while 4.31±2.31 in the control group, with significant differences between the two groups(P<0.05); the reduction rate in the treatment group (37.2±15.8)% was significantly higher than that in the control group (29.9±15.3)%(P<0.05). In terms of the comprehensive curative effect by ITT, the effective rates in the treatment and control group were 31.6% and 13.5%, respectively(P<0.05). With respect to the efficacy of traditional Chinese medicine syndrome by ITT, the total effective rate of the treatment group was significantly higher than the control group 88.2% vs 68.9%, P<0.05. Three cases of adverse events occurred in this study, including 1 case of diarrhea in treatment group and 2 cases of skin itch and upper respiratory infection in control group. In conclusion, Longxue Tongluo capsule is effective and safe in the treatment of patients of atherosclerotic thrombotic cerebral infarction convalescence with blood-stasis syndrome, and can effectively alleviate the patients' nerve function defect degree and invalidism, with a good effect on blood stasis syndrome.

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training.

Deploying models on target domain data subject to distribution shift requires adaptation. Test-time training (TTT) emerges as a solution to this adaptation under a realistic scenario where access to full source domain data is not available, and instant inference on the target domain is required. Despite many efforts into TTT, there is a confusion over the experimental settings, thus leading to unfair comparisons. In this work, we first revisit TTT assumptions and categorize TTT protocols by two key factors, i.e., whether testing data is sequentially streamed and whether source model is allowed to be trained with modified loss function. Among the multiple protocols, we adopt a realistic sequential test-time training (sTTT) protocol, under which we develop a test-time anchored clustering (TTAC) approach to enable stronger test-time feature learning. TTAC discovers clusters in both source and target domains and matches the target clusters to the source ones to improve adaptation. When source domain information is strictly absent (i.e., source-free) we further develop an efficient method to infer source domain distributions for anchored clustering. Finally, self-training (ST) has demonstrated great success in learning from unlabeled data and we empirically figure out that applying ST alone to TTT is prone to confirmation bias. Therefore, a more effective TTT approach is introduced by regularizing self-training with anchored clustering, and the improved model is referred to as TTAC++. We demonstrate that, under all TTT protocols, TTAC++ consistently outperforms the state-of-the-art methods on five TTT datasets, including corrupted target domain, selected hard samples, synthetic-to-real adaptation and adversarially attacked target domain. We hope this work will provide a fair benchmarking of TTT methods, and future research should be compared within respective protocols.

Surface Reconstruction from Point Clouds: A Survey and a Benchmark.

Reconstruction of a continuous surface of two-dimensional manifold from its raw, discrete point cloud observation is a long-standing problem in computer vision and graphics research. The problem is technically ill-posed, and becomes more difficult considering that various sensing imperfections would appear in the point clouds obtained by practical depth scanning. In literature, a rich set of methods has been proposed, and reviews of existing methods are also provided. However, existing reviews are short of thorough investigations on a common benchmark. The present paper aims to review and benchmark existing methods in the new era of deep learning surface reconstruction. To this end, we contribute a large-scale benchmarking dataset consisting of both synthetic and real-scanned data; the benchmark includes object- and scene-level surfaces and takes into account various sensing imperfections that are commonly encountered in practical depth scanning. We conduct thorough empirical studies by comparing existing methods on the constructed benchmark, and pay special attention on robustness of existing methods against various scanning imperfections; we also study how different methods generalize in terms of reconstructing complex surface shapes. Our studies help identity the best conditions under which different methods work, and suggest some empirical findings. For example, while deep learning methods are increasingly popular in the research community, our systematic studies suggest that, surprisingly, a few classical methods perform even better in terms of both robustness and generalization; our studies also suggest that the practical challenges of misalignment of point sets from multi-view scanning, missing of surface points, and point outliers remain unsolved by all the existing surface reconstruction methods. We expect that the benchmark and our studies would be valuable both for practitioners and as a guidance for new innovations in future research. We make the benchmark publicly accessible at https://Gorilla-Lab-SCUT.github.io/SurfaceReconstructionBenchmark.

EPMF: Efficient Perception-Aware Multi-Sensor Fusion for 3D Semantic Segmentation.

We study multi-sensor fusion for 3D semantic segmentation that is important to scene understanding for many applications, such as autonomous driving and robotics. For example, for autonomous cars equipped with RGB cameras and LiDAR, it is crucial to fuse complementary information from different sensors for robust and accurate segmentation. Existing fusion-based methods, however, may not achieve promising performance due to the vast difference between the two modalities. In this work, we investigate a collaborative fusion scheme called perception-aware multi-sensor fusion (PMF) to effectively exploit perceptual information from two modalities, namely, appearance information from RGB images and spatio-depth information from point clouds. To this end, we first project point clouds to the camera coordinate using perspective projection. In this way, we can process both inputs from LiDAR and cameras in 2D space while preventing the information loss of RGB images. Then, we propose a two-stream network that consists of a LiDAR stream and a camera stream to extract features from the two modalities, separately. The extracted features are fused by effective residual-based fusion modules. Moreover, we introduce additional perception-aware losses to measure the perceptual difference between the two modalities. Last, we propose an improved version of PMF, i.e., EPMF, which is more efficient and effective by optimizing data pre-processing and network architecture under perspective projection. Specifically, we propose cross-modal alignment and cropping to obtain tight inputs and reduce unnecessary computational costs. We then explore more efficient contextual modules under perspective projection and fuse the LiDAR features into the camera stream to boost the performance of the two-stream network. Extensive experiments on benchmark data sets show the superiority of our method. For example, on nuScenes test set, our EPMF outperforms the state-of-the-art method, i.e., RangeFormer, by 0.9% in mIoU. Compared to PMF, EPMF also achieves 2.06× acceleration with 2.0% improvement in mIoU. Our source code is available at https://github.com/ICEORY/PMF.

Relation between frailty and adverse outcomes in elderly patients with gastric cancer: a scoping review.

Background: Playing an exemplary role, frailty have crucial effect on the preoperative evaluation of elderly patients. Previous studies have shown that frailty is associated with complications and mortality in patients with gastric cancer (GC). However, with the development of the concept of "patient-centered", the range of health-related outcomes is broad. The differences in relation between frailty and various adverse outcomes will be further explored. Method: The PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wan Fang, and Chinese Biomedical Literature databases were searched for keywords, including frailty (such as frail) and gastric cancer (such as stomach neoplasms or stomach cancer or gastrectomy or gastric surgery). The search period is until August 2023. The included studies were observational or cohort studies with postoperative related adverse outcomes as primary or secondary outcome measures. Valid assessment tools were used. The Quality Assessment Tool for Observational Cohort and Cross-sectional Studies was used to assess methodological quality in the included literature. Result: Fifteen studies were included, including 4 cross-sectional studies, 8 retrospective cohort studies, and 3 prospective cohort studies. Among them, 6 studies were rated as "Good" and 9 studies were rated as "Fair," indicating that the quality of the literature was high. Then, 10 frailty assessment tools were summarized and classified into two broad categories in accordance with frailty models. Results of the included studies indicated that frailty in elderly patients with GC was associated with postoperative complications, mortality, hospital days, readmissions, quality of life, non-home discharge, and admission to the intensive care unit. Conclusion: This scoping review concludes that high levels of preoperative frailty increase the risk of adverse outcomes in elderly patients with GC. Frailty will be widely used in the future clinical evaluation of elderly gastric cancer patients, precise risk stratification should be implemented for patients, and frailty management should be implemented well to reduce the occurrence of adverse treatment outcomes.

Exploring the Experiences and Support of Nurses as Second Victims After Patient Safety Events in China: A Mixed-Method Approach.

Aim: To investigate the current status of experience and support of nurses as second victims and explore its related factors in nurses. Design: A sequential, explanatory, mixed-method study was applied. Methods: A total of 406 nurses from seven tertiary hospitals in China were chosen as participants between September to October 2023. The Chinese version of the Second Victim Experience and Support Questionnaire (SVEST), Somatic Complaints of Sub-health Status Questionnaire (SCSSQ) and Generalized Anxiety Disorder (GAD-7) were applied to collect quantitative data. Eight nurses were selected for a qualitative study through in-depth interviews. Through interpretive phenomenological analysis, the interview data were analysed to explore the experience and support of nurses as second victims. Results: Practice distress (15.74 ± 4.97) and psychological distress (15.48 ± 3.74) were the highest dimensions, indicating Chinese nurses experienced second victim-related practice and psychological distress. Nurses with different gender, age, education, marital status, income, working hours, professional titles, and unit types have different levels of second victim-related experience and support (p < 0.05). In addition, the score of SVEST was positively associated with SCSSQ (r = 0.444) and GAD-7 (r = 0.490) (p < 0.05). This qualitative study found that the experience and support of nurses as second victims included nurses' perceptions and needs for patient safety events; psychological, physical and practice distress of nurses; and nurses and hospitals coping style after patient safety events. Discussion: Our findings suggest that nurses who are second victims of patient safety events experience severe practice and psychological distress, indicating that nursing managers should pay attention to psychological and practice distress of nurses after patient safety events and provide effective preventive measures.

Higher serum carotenoid concentrations were associated with the lower risk of cancer-related death: Evidence from the National Health and Nutrition Examination Survey.

The study focuses on the association between serum carotenoids and cancer-related death. Using data from the National Health and Nutrition Examination Survey (2001-2006 and 2017-2018), the study encompasses 10,277 participants older than age 20 years, with recorded baseline characteristics and serum carotenoid concentrations (including α-carotene, trans-ß-carotene, cis-ß-carotene, ß-cryptoxanthin, trans-lycopene, and lutein/zeaxanthin). We hypothesized that serum carotenoid concentrations were negatively associated with cancer-related death. The weighted chi-square analyses indicate significant negative correlations between higher serum concentrations of α-carotene, ß-cryptoxanthin, trans-lycopene, and total carotenoids, and the risk of cancer-related deaths. Using weighted Cox regression analysis, this study confirms that α-carotene, ß-cryptoxanthin, trans-lycopene, and total carotenoids, as continuous or categorical variables, are inversely related to cancer mortality (P < .0001). Furthermore, considering competitive risk events, lower concentrations of serum ß-cryptoxanthin (Fine-Gray P = 1.12e-04), trans-lycopene (P = 5.68e-14), and total carotenoids (P = .03) are associated with an increased risk of cancer-related deaths. The research reveals a crucial inverse relationship between serum carotenoid concentrations and cancer-related death.

Nutrition therapy in critically ill patients with severe acute pancreatitis.

A significant proportion of patients (10%-20%) with acute pancreatitis develop severe acute pancreatitis characterized by pancreatic necrosis, systemic inflammation, and organ failure, commonly requiring intensive care unit (ICU) admission. In this specific population, nutrition therapy is more challenging than that in the general ICU population, primarily because of inevitable gastrointestinal involvement by pancreatic inflammation. In this review, we discussed several key aspects of nutrition therapy in this population, including key pathophysiology that may impede nutrition therapy, the timing and implementation of enteral nutrition and parenteral nutrition, the importance of specific nutrient supplements, and the long-term outcomes that may be addressed by nutrition therapy.