Clinical Value of Prognostic Nutritional Index in Prediction of the Presence and Severity of Neonatal Sepsis

Impact of the prognostic nutritional index on renal replacement therapy-free survival and mortality in patients on continuous renal replacement therapy

BACKGROUND

The survival of critically ill patients with acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT) is highly dependent on their nutritional status.

OBJECTIVES

The prognostic nutritional index (PNI) is an indicator used to assess nutritional status and is calculated as: PNI = (serum albumin in g/dL) × 10 + (total lymphocyte count in/mm3) × 0.005. In this retrospective study, we investigated the correlation between this index and clinical outcomes in critically ill patients with AKI receiving CRRT.

METHODS

We analyzed data from 2076 critically ill patients admitted to the intensive care unit at Changhua Christian Hospital, a tertiary hospital in central Taiwan, between January 1, 2010, and April 30, 2021. All these patients met the inclusion criteria of the study. The relationship between PNI and renal replacement therapy-free survival (RRTFS) and mortality was examined using logistic regression models, Cox proportional hazard models, and propensity score matching. High utilization rate of parenteral nutrition (PN) was observed in our study. Subgroup analysis was performed to explore the interaction effect between PNI and PN on mortality.

RESULTS

Patients with higher PNI levels exhibited a greater likelihood of achieving RRTFS, with an adjusted odds ratio of 2.43 (95% confidence interval [CI]: 1.98-2.97, p-value < 0.001). Additionally, these patients demonstrated higher survival rates, with an adjusted hazard ratio of 0.84 (95% CI: 0.72-0.98) for 28-day mortality and 0.80 (95% CI: 0.69-0.92) for 90-day mortality (all p-values < 0.05), compared to those in the low PNI group. While a high utilization rate of parenteral nutrition (PN) was observed, with 78.86% of CRRT patients receiving PN, subgroup analysis showed that high PNI had an independent protective effect on mortality outcomes in AKI patients receiving CRRT, regardless of their PN status.

CONCLUSIONS

PNI can serve as an easy, simple, and efficient measure of lymphocytes and albumin levels to predict RRTFS and mortality in AKI patients with require CRRT.

Evaluation of the Association Between Coronary Artery Aneurysms and Concomitant Infection in Patients With Kawasaki Disease

We analyzed the relationship between recovery from coronary artery aneurysms (CAAs) and concurrent infections in patients with Kawasaki disease (KD). The estimated median time of aneurysm persistence between patients with and without infections was compared using Kaplan-Meier survival analyses. Risk factors associated with persistent CAAs at 2 years were identified using multivariable analyses. Co-infection was confirmed in 20.5% (106/518) of patients diagnosed with KD. No significant differences regarding treatment or coronary artery outcome were identified between patients with and without infections. The estimated median time of aneurysm persistence was higher in the co-infected group (9 vs. 6 months). A maximum Z-score ≥ 4.00 at 1 month had 78% sensitivity and 83% specificity in predicting CAAs without recovery within 1 year of onset, whereas the predictability was higher within 2 years of onset, with a Z-score ≥ 4.88 (sensitivity, 92%; specificity, 91%). Concomitant infections did not affect the response to treatment or coronary artery outcomes in patients with KD.

Predictive value of PAR and PNI for the acute complicated course of pediatric acute hematogenous osteomyelitis

OBJECTIVE

Platelet to albumin ratio (PAR) and prognostic nutritional index (PNI) are potential indicators for evaluating nutritional and inflammatory status. This study aimed to examine the relationship between PAR and PNI and the acute complicated course of acute hematogenous osteomyelitis (AHO).

METHODS

AHO patients were divided into the simple course group and the acute complicated course group. The patient's gender, age, site of infection, body temperature, laboratory results, and pathogen culture results were collected and compared. Multivariate logistic regression analysis was used to determine the independent risk factors of the acute complicated course group. The receiver operating characteristic curve was applied to determine the optimal cut-off value.

RESULTS

In total, 101 AHO patients with a median age of 7.58 years were included. There were 63 cases (62.4 %) in the simple course group and 38 cases (37.6 %) in the complicated course group. Binary logistic regression analysis revealed that PAR and PNI were independent risk factors for predicting the acute complicated course of AHO (p = 0.004 and p < 0.001, respectively). Receiver operating characteristic curve analysis demonstrated that the combination of PAR and PNI had an area under the curve of 0.777 (95 % CI: 0.680-0.873, p < 0.001) with a cut-off value of 0.51.

CONCLUSIONS

The incidence of acute complicated courses was significantly higher in patients with high PAR and low PNI. A combined factor greater than 0.51, derived from PAR and PNI measurements within 24 h of admission, may be useful for predicting AHO patients who are likely to develop severe disease.

Prognostic Nutritional Index Enhances the Discriminatory Ability of Procalcitonin for Predicting Pediatric Sepsis

Objective. Improving diagnostic ability of pediatric sepsis is of great significance for reducing the mortality of sepsis. This study explored the discriminatory capacity of nutritional index (PNI) in pediatric sepsis. Methods. We retrospectively enrolled 134 children with suspected sepsis and collected their clinical and laboratory data. Receiver operating characteristic curves (ROC), decision curve analysis (DCA) and net reclassification improvement (NRI) were performed to compare the predictive significance of the PNI, procalcitonin (PCT) and their combination. Results. Among 134 patients, 65 children were diagnosed with sepsis and 69 children with non-sepsis. PCT and PNI were independently associated with pediatric sepsis. PCT was superior to PNI to predict pediatric sepsis. The model based on PCT + PNI improved the predictive capacity than them alone, as demonstrated by ROC, DCA and NRI, respectively. Conclusion. PNI was independently associated with pediatric sepsis, and addition of PNI could improve the capacity of PCT to predict pediatric sepsis.

Prediction model of death risk in patients with sepsis and screening of biomarkers for prognosis of patients with myocardial injury

This study aimed to create a robust prediction model for sepsis patient mortality and identify key biomarkers in those with myocardial injury. A retrospective analysis of 261 sepsis inpatients was conducted, with 44 deaths and 217 recoveries. Key factors were assessed via univariate and multivariate analyses, revealing myocardial injury, shock, and pulmonary infection as independent mortality risk factors. Using LASSO regression, a reliable prediction model was developed and internally validated. Additionally, procalcitonin (PCT) emerged as a sensitive biomarker for myocardial injury prediction in sepsis patients. In summary, this study highlights myocardial injury, shock, and pulmonary infection as independent risk factors for sepsis-related deaths. The LASSO-based prediction model effectively forecasts the prognosis of septic patients with myocardial injury, with PCT showing promise as a predictive biomarker.

Values of prognostic nutritional index for predicting Kawasaki disease: a systematic review and meta-analysis

Objective

This systematic review and meta-analysis aimed to evaluate the relationship between the prognostic nutritional index (PNI) and intravenous immunoglobulin (IVIG) resistance and coronary artery lesion (CAL) in Kawasaki disease (KD).

Methods

The relevant literature was searched on PubMed, Embase, Cochrane Library, Web of Science, and Google Scholar up to August 5, 2023. A pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under curve (AUC) were calculated to assess the predicted values of PNI in KD patients with IVIG resistance and CAL.

Results

A total of 8 articles containing 10 studies involving 7,047 participants were included. The pooled results revealed a pooled sensitivity of 0.44 (0.25-0.65), a pooled specificity of 0.87 (0.73-0.94), a pooled PLR of 3.4 (2.0-5.9), a pooled NLR of 0.65 (0.48-0.87), a pooled DOR of 5.26 (2.76-10.02), and a pooled AUC of 0.75 (0.71-0.78) in the diagnosis of KD with CAL. The pooled results suggested that a pooled sensitivity was 0.69 (0.60-0.77), specificity was 0.76 (0.69-0.82), PLR was 2.9 (2.1-4.1), NLR was 0.40 (0.29-0.56), DOR was 7.27 (3.89-13.59), and AUC was 0.79 (0.75-0.82) in the diagnosis of KD with IVIG resistance. The combined results revealed the pooled sensitivity was 0.63 (0.58-0.67), specificity was 0.82 (0.80-0.83), PLR was 3.09 (1.06-8.98), NLR was 0.38 (0.07-2.02), DOR was 8.23 (0.81-83.16) in differentiating KD from febrile patients. These findings demonstrated low sensitivity and relatively high specificity of PNI for KD, KD-CAL, and IVIG-resistant KD.

Conclusion

In conclusion, this study was the first systematic review and meta-analysis of the diagnostic value of PNI in KD with IVIG resistance and CAL. The results suggested that PNI could be used as biomarkers for distinguish KD, KD with CAL, and KD with IVIG resistance.

Clinical value of neutrophil-to-lymphocyte ratio and prognostic nutritional index on prediction of occurrence and development of diabetic foot-induced sepsis

Background

Diabetic foot-induced sepsis is a serious complication associated with increased disability and mortality in hospitalized patients. Early prediction of admission and detection effectively improve treatment options and prevent further deterioration. This study aims to evaluate the clinical value of the neutrophil-to-lymphocyte ratio (NLR) and prognostic nutritional index (PNI) to predict the risk of sepsis in patients with diabetic foot ulcers (DFU).

Methods

Retrospective analysis was performed on 216 patients who were admitted to the Fujian Medical University Union Hospital between January 2015 and December 2022. Patients with DFU were divided into the non-sepsis (n = 166) and the DFU-induced sepsis (n = 50) groups. The independent factors of DFU-induced sepsis were determined by univariate and multivariate logistic regression analyses. A receiver operating characteristic (ROC) curve was performed to compare the area under the curves (AUC) of PNI and NLR.

Results

Multivariate logistic regression analysis revealed that the PNI, NLR, international normalized ratio (INR), thrombin time (PT), and C-reactive protein (CRP) were independent prognostic factors for DFU-induced sepsis. After adjusting for potential confounders, the adjusted odds ratios of NLR for DFU-induced sepsis were 1.121 (1.072-1.172), 1.132 (1.077-1.189), and 1.080 (1.022-1.142), while those of PNI were 0.912 (0.873-0.953), 0.902 (0.856-0.950), and 1.004 (1.001-1.006). Moreover, the AUC of NLR was significantly greater than that of CRP (0.790, 95% CI: 0.689-0.891, p < 0.001 vs. 0.780, 95% CI: 0.686-0.873, p < 0.001).

Conclusion

NLR and PNI have been regarded as readily and independently predictive markers in patients with DFU-induced sepsis. NLR is critical for the early detection and effective treatment of DFU-induced sepsis and is superior to CRP.

Risk Factors of Gastrointestinal Perforation with a Poor Prognosis

Background

Despite medical progress, mortality from gastrointestinal perforation was relatively high. Our study's objective was to identify risk factors associated with a poor prognosis for gastrointestinal perforation.

Methods

Patients diagnosed with gastrointestinal perforation at the Longchuan County People's Hospital between January 2019 and February 2022 were the subject of a retrospective analysis of their laboratory data. Patients were grouped based on length of hospital stay, septic shock, and mortality.

Results

A total of 240 patients participated in our study. Using univariate and multivariate analysis, we identified several risk factors for gastrointestinal perforation associated with a dismal prognosis. Lower digestive tract perforation (OR=2.418, 95% CI 1.119-5.227, P=0.025), low total protein (OR=0.934, 95% CI 0.879-0.992, P=0.026) and low hemoglobin (OR=0.985, 95% CI 0.971-0.999, P=0.039) were linked to a longer length of stay, especially hemoglobin (OR=0.978, 95% CI 0.966-0.991, P=0.001) in upper digestive tract. High ratio of neutrophils to lymphocytes (NLR) (OR=1.043, 95% CI 1.012-1.076, P=0.007), high lymphocyte-to-monocyte ratio (LMR) (OR=2.158, 95% CI 1.495-3.115, P<0.001) and low prognostic nutrition index (PNI) (OR=0.814, 95% CI 0.751-0.833, P<0.001) predicted septic shock. In upper digestive tract, PLR (OR=1.001, 95% CI 1.000-1.002, P=0.067), LMR (OR=2.160, 95% CI 1.440-3.240, P<0.001) and PNI (OR=0.843, 95% CI 0.767-0.926, P<0.001) were risk factors for septic shock, and total protein (OR=0.796, 95% CI 0.686-0.923, P=0.003) was a risk factor for septic shock in lower digestive tract. High NLR (OR=1.056, 95% CI 1.019-1.093, P=0.003), high LMR (OR=1.760, 95% CI 1.177-2.632, P=0.006) and low PNI (OR=0.832, 95% CI 0.754-0.918, P<0.001) were the risk factors of mortality. In subgroup analysis of perforation site, albumin (OR=0.820, 95% CI 0.719-0.934, P=0.003) and LMR (OR=1.506, 95% CI 1.069-2.123, P=0.019) were risk factors for mortality in upper digestive tract and PNI (OR=0.636, 95% CI 0.445-0.908, P=0.013) was a risk factor for mortality in lower digestive tract.

Conclusion

Our research found that the perforation site, total protein, albumin, hemoglobin, NLR, LMR, PLR and PNI were risk factors for gastrointestinal perforation with a poor prognosis.

Lymphocyte to C-Reactive Protein Ratio as an Early Biomarker to Distinguish Sepsis from Pneumonia in Neonates

Background

Neonatal sepsis is an acute and severe disease that seriously threatens the life and health of newborns. Neonates with pneumonia may also have unrecognized neonatal sepsis. Early diagnosis of neonatal sepsis is beneficial for early treatment. This study aimed to evaluate the clinical significance of the lymphocyte-to-C-reactive protein ratio (LCR) as an early biomarker to distinguish sepsis from pneumonia.

Methods

This retrospective study enrolled 1635 neonates with pneumonia from February 2016 to March 2022. Among them, 182 cases were diagnosed with sepsis based on the positive blood culture results. Clinical and laboratory data were extracted from the electronic medical records. LCR was calculated as the ratio of the total lymphocyte count (×109 cells/L) to the C-reactive protein level (mg/L). Binary logistic regression analysis was conducted to evaluate the clinical significance of LCR as an early biomarker in distinguishing sepsis from pneumonia. Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic value of LPCR in sepsis cases. All statistical analyses were conducted using Statistical Product and Service Solutions, version 24.0.

Results

The neonates with pneumonia combined with sepsis had a lower LCR than that of the neonates with pneumonia. Further analysis showed that the prevalence of neonatal pneumonia combined with sepsis was significantly higher in the low-LCR group than in the high-LCR group (20.7% vs 5.5%, P < 001). Binary logistic regression revealed that LCR was an independent risk factor for identifying pneumonia combined with sepsis. The ROC curve analysis revealed that LCR had better power than the lymphocyte count and CRP level individually in diagnosing neonatal pneumonia combined with sepsis (0.72 vs 0.65 vs 0.66, P < 0.001), with 62% sensitivity and 72% specificity.

Conclusion

LCR can be a potential early biomarker in distinguishing neonates with sepsis from those with pneumonia.

Comparison of Nutrition Indices for Prognostic Utility in Patients with Sepsis: A Real-World Observational Study

Background: Nutritional status of critically ill patients is an important factor affecting complications and mortality. This study aimed to investigate the impact of three nutritional indices, the Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT), on mortality in patients with sepsis in Japan. Methods: This retrospective observational study used the Medical Data Vision database containing data from 42 acute-care hospitals in Japan. We extracted data on baseline characteristics on admission. GNRI, PNI, and CONUT scores on admission were also calculated. To evaluate the significance of these three nutritional indices on mortality, we used logistic regression to fit restricted cubic spline models and constructed Kaplan–Meier survival curves. Results: We identified 32,159 patients with sepsis according to the inclusion criteria. Of them, 1804 patients were treated in intensive care units, and 3461 patients were non-survivors. When the GNRI dropped below 100, the risk of mortality rose sharply, as did that when the PNI dropped below about 40. An increased CONUT score was associated with increased mortality in an apparent linear manner. Conclusion: In sepsis management, GNRI and PNI values may potentially be helpful in identifying patients with a high risk of death.

Predictors of Mortality in Early Neonatal Sepsis: A Single-Center Experience

Background and Objectives: Early neonatal sepsis is associated with a significant mortality rate despite modern treatment strategies. Our aim was to identify risk factors contributing to the occurrence of death in newborns with early neonatal sepsis. Materials and Methods: We conducted a retrospective cross-sectional study that included newborns with early sepsis who received care in the intensive and semi-intensive care units at the Institute of Neonatology, Belgrade, Serbia. Newborns with early neonatal sepsis who died comprised the case group, whereas those who survived made up the control group. The diagnostic and therapeutic approach to the septic condition was carried out independently of this study, according to valid hospital protocols and current good practice guidelines. The influence of a large number of variables on the examined dichotomous outcome, as well as the mutual interaction of potential predictor variables, was examined by binary logistic regression. Results: The study included 133 pregnant women and 136 newborns with early neonatal sepsis, of which 51 (37.5%) died, while the remaining 85 newborns (62.5%) survived. Newborns who died had a statistically significantly lower birth weight compared to those who survived (882.8 ± 372.2 g vs. 1660.9 ± 721.1 g, p = 0.000). Additionally, compared to newborns who survived, among the deceased neonates there was a significantly higher proportion of extremely preterm newborns (74.5% vs. 22.4%, p = 0.000). The following risk factors for the occurrence of death in early neonatal sepsis were identified: low birth weight, sepsis caused by gram-negative bacteria, and the use of double-inotropic therapy and erythrocyte transfusion during the first week. Conclusions: Pediatricians should pay special attention to infants with early neonatal sepsis in whom any of the identified risk factors are present in order to prevent a fatal outcome.

Prognostic nutritional index value in the prognosis of Kawasaki disease with coronary artery lesions

Objectives

The prognostic nutritional index (PNI) is a purported predictor of intravenous immunoglobulin (IVIG) resistance and coronary artery aneurysm (CAA) development in patients with Kawasaki disease (KD). However, limited data exist on CAA regression. This study aimed to confirm whether the PNI is a predictor for CAA persistency in patients with KD.

Methods

This retrospective study grouped 341 patients with KD based on the coronary artery status and time of aneurysm persistence. The clinical and laboratory parameters were compared, and multivariate logistic regression analysis was performed to identify the independent risk factors for persistent CAA. The receiver operating characteristic (ROC) curve was further used to assess the predictive values of the PNI in persistent CAA.

Results

Among the study patients, 80 (23.5%) presented with CAA, including CAA persisting for 2 years in 17 patients (5.0%). Patients with CAA were more frequently treated with corticosteroids (p < 0.016). No statistically significant differences were found in the nutritional status and PNI among patients with or without coronary artery lesions, regardless of injury severity. Patients in the persistent CAA group presented with higher rates of overnutrition and showed lower PNI values and a higher incidence of thrombosis than those in the normal group (p < 0.05). The PNI and the maximum Z-score at 1 month of onset were significantly associated with CAA persisting for 2 years and may be used as predictors of persistent CAA. The area under the ROC curve was 0.708 (95% confidence interval, 0.569-0.847), and a 40.2 PNI cutoff yielded a sensitivity and specificity of 41 and 92%, respectively, for predicting CAA persisting for 2 years. Kaplan-Meier survival analysis revealed that the estimated median time of aneurysm persistence was significantly higher in patients with PNI values of ≤40 than in those with PNI values of >40 (hazard ratio, 2.958; 95% confidence interval, 1.601-5.464; p = 0.007). After sampling-time stratification, the PNI differed significantly between patients with and without persistent CAA when sampled on the second (p = 0.040), third (p = 0.028), and fourth days (p = 0.041) following disease onset.

Conclusion

A lower PNI value is an independent risk factor for CAA persisting for 2 years in patients with KD, besides the maximum Z-score at 1 month after onset. Furthermore, the PNI obtained within 4 days from fever onset may possess greater predictive power for patients with persistent CAA.

Lymphocyte-to-C-Reactive Protein Ratio as an Early Sepsis Biomarker for Neonates with Suspected Sepsis

Background

Neonatal sepsis is an extremely dangerous and fatal disease among neonates, and its timely diagnosis is critical to treatment. This research is aimed at evaluating the clinical significance of the lymphocyte-to-C-reactive protein ratio (LCR) as an early sepsis indicator in neonates with suspected sepsis.

Methods

Between January 2016 and December 2021, 1269 neonates suspected of developing sepsis were included in this research. Among them, sepsis was diagnosed in 819 neonates, with 448 severe cases, as per the International Pediatric Sepsis Consensus. Data related to clinical and laboratory tests were obtained via electronic medical records. LCR was calculated as total lymphocyte (109 cells/L)/C-reactive protein (mg/L). Multivariate logistic regression analysis was employed to evaluate the effectiveness of LCR as an independent indicator for determining sepsis in susceptible sepsis neonates. Receiver operating characteristic (ROC) curve analysis was conducted for investigating the diagnostic significance of LCR in sepsis. When suitable, the statistical tool SPSS 24.0 was used for statistical analyses.

Results

LCR decreased significantly in the control, mild, and severe sepsis groups. Further analyses exhibited that there was a substantially greater incidence of sepsis in neonates in the low-LCR group (LCR ≤ 3.94) as opposed to the higher LCR group (LCR > 3.94) (77.6% vs. 51.4%, p < 0.001). Correlation analysis indicated a substantial negative association of LCR with procalcitonin (r = -0.519, p < 0.001) and hospital stay duration (r = -0.258, p < 0.001). Multiple logistic regression analysis depicted LCR as an independent indicator for identifying sepsis and severe cases of this disease. ROC curve analysis indicated the optimal cutoff value of LCR in identifying sepsis to be 2.10, with 88% sensitivity and 55% specificity.

Conclusions

LCR has proven to be a potentially strong biomarker capable of identifying sepsis in a timely manner in neonates suspected to have the disease.

Clinical value of the prognostic nutritional index and red blood cell distribution width‐to‐albumin ratio for the prediction of severity of and mortality associated with Stevens–Johnson syndrome/toxic epidermal necrolysis

The prognostic nutritional index (PNI) and red blood cell distribution width-to-albumin ratio (RAR) are considered to be related to the prognosis of disease severity. However, the role of these biomarkers in predicting Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) severity and mortality is unclear. The aim of the current study was to investigate the association of PNI and RAR with severity and mortality in individuals with SJS/TEN. Clinical data were retrospectively collected from 74 individuals with SJS/TEN and 74 healthy individuals, who were matched for age and sex during the same period. PNI, RAR, and other indicators were compared between individuals with SJS/TEN and healthy controls. The association of PNI and RAR with SJS/TEN severity was assessed using Spearman or Pearson correlation analyses. Individuals with SJS/TEN were categorized into two groups, either survivors or nonsurvivors. The correlation between PNI, RAR, and SJS/TEN mortality was analyzed using univariate and multivariate logistic regression. The predictive value of the previously mentioned indicators on the mortality of patients with SJS/TEN was assessed using receiver operating characteristic curve analysis. The RAR level of patients with SJS/TEN was greater than that of the control group (p < 0.05), whereas PNI was lower. In compliance with correlation analysis, RAR was positively correlated with SCORTEN (Score of Toxic Epidermal Necrolysis) and ABCD-10 (age, bicarbonate, cancer, dialysis, 10% body surface area) (p < 0.05), and PNI was negatively correlated (p < 0.05). RAR is a risk factor for death in patients with SJS/TEN, but an elevated PNI level is a protective factor for mortality. The best cutoff values of PNI and RAR for predicting death in patients with SJS/TEN were 31.375 (sensitivity, 84.7%; specificity, 80%) and 0.486 (sensitivity, 73.3%; specificity, 84.7%). These results underscore the potential clinical value of PNI and RAR as appropriate and meaningful biomarkers to assess the severity of SJS/TEN and the mortality associated with it.

C-Reactive Protein-to-Albumin Ratio as an Early Biomarker to Identify Sepsis in Neonates with Pneumonia

Objectives

Neonates with pneumonia often also have sepsis, and the identifying sepsis from pneumonia may be a challenge for clinicians. However, there are no available data regarding the clinical value C-reactive protein-to-albumin ratio (CAR) in identifying sepsis in neonates with pneumonia. The aim of this study was to evaluate the clinical value of CAR in identifying sepsis in neonates with pneumonia.

Methods

847 neonates with pneumonia were included in this study, of which 511 neonates were diagnosed with sepsis. Neonates were divided into the sepsis group and the nonsepsis group. All neonates underwent extensive and necessary clinical and laboratory tests. CAR was calculated as serum C-reactive protein (ng/ml)/albumin (mg/ml). All statistical analyses were performed using the statistical package SPSS 24.0, as appropriate.

Results

Compared with the nonsepsis group, neonates with sepsis have a higher CAR (P < 0.001). Further analysis showed that the prevalence of neonates with sepsis increased significantly from 41.0% in the low CAR group (CAR ≤ 0.024 × 10⁻³) to 80.0% in the high CAR group (CAR > 0.024 × 10⁻³) (P < 0.001). Correlation analysis showed that there was a strong positive correlation between CAR and PCT (r = 0.452, P < 0.001), nSOFA (r = 0.267, P < 0.001), and the prolonged length of hospital stay (r = 0.311, P < 0.001). Multiple logistic regression showed that CAR was an independent risk factor for the presence of sepsis in neonates with pneumonia. Receiver operating characteristic curve analysis revealed that CAR had adequate discriminatory power in predicting sepsis in neonates with pneumonia (area under curve (AUC) = 0.76, 95% CI 0.73-0.79, P < 0.001).

Conclusions

CAR can be used as a new marker to identify sepsis in neonates with pneumonia.

Establishment and Validation of a Multivariate Predictive Scoring Model for Intravenous Immunoglobulin-Resistant Kawasaki Disease: A Study of Children From Two Centers in China

Background

Early identification of intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD) is important for making a suitable therapeutic strategy for children with KD.

Methods

This study included a training set and an external validation set. The training set included 635 children (588 IVIG-sensitive and 47 IVIG-resistant KD) hospitalized in Wuhan Children’s Hospital, Hubei, China. Univariate analyses and binary logistic regression equation was incorporated to find the associated variables of the IVIG-resistant KD. A scoring model for predicting IVIG-resistant KD was established according to odds ratio (OR) values and receiver operating characteristic curves. The external validation set consisted of 391 children (358 IVIG-sensitive and 33 IVIG-resistant KD) hospitalized in Peking University First Hospital, Beijing, China. The predictive ability of the model of IVIG-resistant KD were externally validated by the real clinically diagnosed KD cases.

Results

Fifteen variables in the training set were statistically different between IVIG-sensitive and IVIG-resistant KD children, including rash, duration of fever, peripheral blood neutrophil-to-lymphocyte ratio (NLR), prognostic nutritional index (PNI), percentage of monocytes and percentage of eosinophils, and serum alanine aminotransferase, aspartate aminotransferase, total bilirubin (TB), direct bilirubin, glutamyl transpeptidase, prealbumin, sodium ion, potassium ion and high-sensitivity C-reactive protein. According to logistic equation analysis, the final three independent correlates to IVIG-resistant KD were serum TB ≥ 12.8 μmol/L, peripheral blood NLR ≥ 5.0 and peripheral blood PNI ≤ 52.4. According to the OR values, three variables were assigned the points of 2, 2 and 1, respectively. When the score was ≥ 3 points, the sensitivity to predict IVIG-resistant KD was 80.9% and the specificity was 77.6%. In the validation set, the sensitivity, specificity and accuracy of the predictive model of IVIG-resistant KD were 72.7%, 84.9%, and 83.9%, respectively.

Conclusion

A scoring model was constructed to predict IVIG-resistant KD, which would greatly assist pediatricians in the early prediction of IVIG-resistant KD.

Clinical Value of the Prognostic Nutrition Index in the Assessment of Prognosis in Critically Ill Patients with Stroke: A Retrospective Analysis

Purpose

The purpose of study was to evaluate the association between prognostic nutritional index (PNI) and all-cause mortality of critically ill patients with stroke.

Methods

Clinical data derived from Multiparameter Intelligent Monitoring in Intensive Care were analyzed. The primary endpoint was 30-day all-cause mortality; secondary endpoints were 90-day mortality and one-year cause mortality. The potential prognostic roles of PNI were analyzed by Cox proportional hazard models. The independent prognostic roles of PNI in the cases were analyzed by smooth curve fitting.

Results

Concerning 30-day mortality, the HR (95% CI) for a high PNI (≥39.7) was 0.700 (0.544, 0.900; P = 0.00539), compared to a low PNI (<39.7). After adjusting for multiple confounders, the HR (95% CI) for a high PNI (≥39.7) was 0.732 (0.547, 0.978; P = 0.03514), compared to a low PNI (<39.7). Regarding 90-day and one-year mortality, a similar trend was observed. In addition, a nonlinear association between PNI and 30-day mortality was found. Using recursive algorithm and two-piecewise linear regression model, inflection point (IP) was calculated, which was 49.4. On the right side of the IP, there was a positive relationship between PNI and 30-day mortality, and the effect size, 95% CI, and P value were 1.04 (1.01, 1.07), P = 0.0429, respectively. On the left of the IP, the effect size, 95% CI, and P value were 0.97 (0.96, 0.99) and 0.0011, respectively.

Conclusions

The PNI was an independent predicting factor of 30-day, 90-day, and 1-year mortality of the critically ill patients with stroke. In addition, there was a U-shaped relationship between PNI and all-cause mortality of stroke patients. PNI was a risk factor for the outcome of stroke when PNI was >49.4, while PNI was a protective factor for outcome of stroke when PNI was <49.4.