Nutritional Intake, Hospital Readmissions and Length of Stay in Hospitalised Oncology Patients

The impact of skeletal muscle index at the third lumbar spine on nosocomial deterioration and short-term prognosis in acute pancreatitis: a retrospective observational study

Objective

To investigate the impact of the third lumbar skeletal muscle index (L3-SMI) assessed by CT on the in-hospital severity and short-term prognosis of acute pancreatitis.

Methods

A total of 224 patients with severe acute pancreatitis admitted to Yantaishan Hospital from January 2021 to June 2022 were selected as the subjects. Based on the in-hospital treatment outcomes, they were divided into a mortality group of 59 cases as well as a survival group of 165 cases. Upon admission, general information such as the Acute Physiology and Chronic Health Evaluation II (APACHE II) score, along with the abdominal CT images of each patient, were analyzed. The L3-SMI was calculated, and the Modified CT Severity Index (MCTSI) and Balthazar CT grade were used to assess the severity of in-hospital complications of acute pancreatitis. The evaluation value of L3-SMI for the prognosis of severe acute pancreatitis was analyzed, as well as the factors influencing the prognosis of severe acute pancreatitis.

Results

No statistically significant differences in gender, age, BMI, etiology, duration of anti-inflammatory drug use, and proportion of surgical patients between the survival and mortality groups were observed. But the mortality group showed higher proportions of patients with an elevated APACHE II score upon admission, mechanical ventilation, and renal replacement therapy, compared to the survival group, with statistically significant differences (P < 0.001). Furthermore, the mortality group had higher MCTSI scores (6.42 ± 0.69) and Balthazar CT grades (3.78 ± 0.45) than the survival group, with statistically significant differences (P < 0.001). The mortality group also had a lower L3-SMI (39.68 ± 3.25) compared to the survival group (42.71 ± 4.28), with statistically significant differences (P < 0.001). L3-SMI exhibited a negative correlation with MCTSI scores and Balthazar CT grades (r = -0.889, -0.790, P < 0.001). Logistic regression analysis, with mortality of acute pancreatitis patients as the dependent variable and MCTSI scores, Balthazar CT grades, L3-SMI, APACHE II score upon admission, mechanical ventilation, and renal replacement therapy as independent variables, revealed that MCTSI scores and L3-SMI were risk factors for mortality in acute pancreatitis patients (P < 0.001). Logistic regression analysis using the same variables confirmed that all these factors were risk factors for mortality in acute pancreatitis patients.

Conclusion

This study confirmed that diagnosing muscle depletion using L3-SMI is a valuable radiological parameter for predicting in-hospital severity and short-term prognosis in patients with acute pancreatitis.

An evaluation of nutritional impact symptoms and their association with reduced dietary intake in patients with solid tumors at tertiary care hospitals: a multicenter, cross-sectional study from palestine

BACKGROUND

Nutritional impact symptoms (NISs) are proposed to be a key indicator of decreased dietary intake in patients with solid cancer. Cancer patients frequently experience NIS from the disease itself and from disease treatment side effects that impact oral and gastrointestinal health. Thus, this study aimed to investigate the association between NIS and dietary intake among cancer patients in the Nablus district, one of the largest districts in Palestine. This study also sought to identify the types of treatment and other factors related to dietary intake for solid cancer patients.

METHODS

A cross-sectional study was conducted between October 15, 2021, and October 15, 2022. The convenience sampling technique was used to recruit participants from two primary hospital campuses for cancer treatment in the entire region of Nablus Governorate in northern Palestine. To assess the patients, structured questionnaires completed by interviewers during face-to-face interviews with patients were used. The NIS was assessed using a checklist developed based on a literature review and clinical experience. Univariate and multivariate analyses were used to evaluate the correlations between sociodemographic variables and clinical variables and between the NIS and dietary intake. Multiple binary logistic regression analyses were also performed to determine the most influential variables, sociodemographic, clinical, and NIS, on dietary intake.

RESULTS

Data were collected from 290 patients with solid malignancies. The mean age of the participants was 55.04 ± 12.76 years. Multiple binary logistic regressions revealed that dry mouth (odds ratio (OR) = 3.742; 95% confidence interval (CI) = 1.800-7.780; p < 0.001), constipation (OR = 2.707; 95% CI = 1.113-6.581; p = 0.028), taste alteration (OR = 3.620; 95% CI = 1.752-7.481; p = 0.001), and feeling fullness (OR = 8.879; 95% CI = 2.982-26.441; p < 0.001) were significantly related to decreased dietary intake. Biological and hormonal treatments had an inverse association with dietary intake (OR = 0.372; 95% CI = 0.177-0.782; p = 0.009 and OR = 0.383; 95% CI = 0.168-0.874; p = 0.023, respectively).

CONCLUSIONS

This study revealed that many solid cancer patients have reduced food intake due to NIS, such as dry mouth and taste changes. These patients may be at risk of malnutrition. Healthcare professionals should consider these NISs to improve dietary plans and decide whether extra feeding support is needed. The results obtained indicate the need for further research focused on removing limitations in food consumption as an effect of treatment and appropriate nutritional strategies to prevent patient malnutrition.

Association between nutritional status assessed by a digital self-administered tool (R+ dietitian) and clinicopathologic factors in cancer patients: A comprehensive analysis

Objective

Malnutrition is prevalent among cancer patients, smartphone-based self-administered nutritional assessment tools offer a promising solution for effective nutritional screening. This study aims to retrospectively analyze the relationships between nutritional status evaluated by the digital tool (R+ Dietitian) and clinicopathologic factors of cancer patients.

Methods

Cancer patients who met the inclusion criteria were divided into two subgroups based on age, Nutritional Risk Screening-2002, Patient-Generated Subjective Global Assessment Short Form, body mass index, and hospital stays for comparison. Correlation and regression analysis were used to comprehensively assess the relationship between nutritional status and clinicopathologic factors.

Findings

A total of 535 hospitalized cancer patients (58.32 ± 11.24 years old) were recruited. Patients identified with nutritional risk assessed by R+ Dietitian were significantly older, had lower body weight, lower body mass index, greater weight loss, and longer hospital stays (all of above, P < 0.01). Multiple logistic regression analysis indicated that serum prealbumin concentration (odds ratio: 0.992, 95% confidence interval: 0.987-0.997, P = 0.001), weight loss (odds ratio: 7.309, 95% confidence interval: 4.026-13.270, P < 0.001), and body mass index < 18.5 (odds ratio: 5.882, 95% confidence interval: 2.695-12.821, P < 0.001) predicted nutritional risk indicated by Nutritional Risk Screening-2002 score ≥3. Hemoglobin concentration (odds ratio: 0.983, 95% confidence interval: 0.970-0.996, P = 0.011), weight (odds ratio: 1.111, 95% confidence interval: 1.056-1.169, P < 0.001), weight loss (odds ratio: 7.502, 95% confidence interval: 4.394-12.810, P < 0.001), body mass index (odds ratio: 0.661, 95% confidence interval: 0.564-0.775, P < 0.001), and energy intake (odds ratio: 0.996, 95% confidence interval: 0.995-0.997, P < 0.001) predicted nutritional risk indicated by Patient-Generated Subjective Global Assessment Short Form score ≥4. Multiple linear regression analysis revealed that Patient-Generated Subjective Global Assessment Short Form scores ≥3 (b = 2.032, P = 0.008) were significantly associated with longer hospital stays.

Conclusions

The nutritional risks assessed by R+ Dietitian accurately reflected the characteristics of malnutrition in cancer patients and predicted hospital stay and cost, indicating the applicability of R+ Dietitian to improving the efficiency of nutritional management for cancer patients.

Predictive value of the Rothman index for unplanned 90-day readmission rates following hospital discharge in oral cancer patients

This study aims to evaluate the predictive capability of the Rothman Index in determining unplanned readmissions within 90 days after discharge for oral cancer patients. The consecutive recruitment was carried out from May 1, 2020, to May 31, 2023, at the outpatient department of Ruijin Hospital of Medical College of Shanghai Jiao Tong University Shanghai Hospital. The evaluation is based on internationally recognized clinical evaluation indicators. A total of 125 recruited patients were grouped as per the presence (n=13) or absence (n=112) of unplanned readmissions within 90 days after discharge. Electronic medical records and patient follow-up records were used to collect details, including gender, age, body mass index, associated conditions such as diabetes and hypertension, treatment approach, and pathological type. In addition, the Rothman Index, postoperative complications, and rates of unplanned readmissions within 90 days post-discharge were assessed following previous literature. Although there was no significant difference in gender, body mass index, and length of hospital stay between the groups (P > 0.05), age, smoking and alcohol consumption history, and the Rothman Index exhibited significant variations (P < 0.05). The Rothman Index was found to be the most strongly correlated with unplanned readmissions within 90 days and could be incorporated in a prediction model. The area under the curve (AUC), as highlighted in the receiver operating characteristic (ROC) curve analysis, for predicting unplanned readmissions within 90 days post-discharge was 0.930, using Rothman Index. This suggests that the Rothman Index could be an effective tool in managing risk in clinical settings due to its potential to accurately predict the rate of unplanned readmissions for oral cancer patients within 90 days of discharge.