Business Confidence in the United States increased to 49 points in June from 48.50 points in May of 2025. This dataset provides the latest reported value for - United States ISM Purchasing Managers Index (PMI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

India's Purchasing Managers Index (PMI) data - current and historical values for composite, manufacturing and services index, in addition to expert analysis.

Explore LSEG S&P Global Purchasing Managers Index (PMI) for monthly surveys that provide up-to-date, accurate, and unique indicators of economic trends.

In April 2025, the value of the Manufacturing Purchasing Leaders' Index (PLI) in the United States stood at ****. An indicator of the economic health of the manufacturing sector, the Purchasing Leaders' Index is based on five major indicators: new orders, inventory levels, production, supplier deliveries and the employment environment. An index value above ** percent indicates a positive development in the manufacturing sector, whereas a value below ** percent indicates a negative situation.

This dataset provides values for MANUFACTURING PMI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In March 2022, the purchasing manager's index (PMI) in Singapore was 50.1. The PMI measures the manufacturing sector in a country; an index value above 50 indicates growing factory activity, while an index below 50 indicates that factory activity in the country is declining.

Business Confidence in China increased to 49.70 points in June from 49.50 points in May of 2025. This dataset provides - China Business Confidence - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In March 2022, the electronics purchasing manager's index (PMI) in Singapore was 50.4. The electronics PMI measures the electronics manufacturing sector in a country; an index value above 50 indicates growing factory activity, while an index below 50 indicates that factory activity in the sector is declining.

ISM Manufacturing New Orders in the United States decreased to 46.40 points in June from 47.60 points in May of 2025. This dataset includes a chart with historical data for the United States ISM Manufacturing New Orders.

ObjectiveThe use of psoas muscle index (PMI) in acute-on-chronic liver failure (ACLF) has not been reported, and the aim of this study was to evaluate the predictive value of PMI for the prognosis of patients with ACLF.MethodsIn this study, male ACLF patients who underwent abdominal CT between 2015 and 2019 in our center were included to analyze the association between PMI and 1-year mortality in male ACLF patients, and subgroup analyses were performed according to age stratification (≤ 40 and >40 years).ResultsWe included 116 male patients with confirmed ACLF, with a mean PMI of 5.98 ± 1.68 cm2/m2 and a 1-year mortality of 51.7% (60). Univariate COX regression analysis showed that PMI was a protective factor [hazard ratio (HR), 0.851, 95%CI: 0.734–0.987] for 1-year mortality in male patients with ACLF. Nevertheless, multivariate analysis did not find an independent relationship between PMI and 1-year mortality. Subgroup analysis by age found that adjusted for MELD score, PMI was independently associated with 1-year mortality in young (age ≤ 40 years) male patients with ACLF (HR 0.689, 95% CI: 0.496–0.958). While no effect of PMI on 1-year mortality in non-young (age > 40 years) male ACLF patients was found. Correlation analysis found that there was no significant correlation between PMI and age in young (age ≤ 40 years) male ACLF patients, but, PMI decreased with age (r = −0.246, P < 0.05) in non-young (age > 40 years) male ACLF patients.ConclusionPMI was found to be associated with 1-year mortality in male ACLF patients, especially in patients younger than 40 years, PMI predict 1-year mortality independent of MELD score.

Philadelphia Fed Manufacturing Index in the United States increased to 15.90 points in July from -4 points in June of 2025. This dataset provides the latest reported value for - United States Philadelphia Fed Manufacturing Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

BackgroundDuring pressure support ventilation (PSV), the accuracy of non-invasive indicators in diagnosing high or low inspiratory effort has been validated. However, the correlation and agreement of these indicators remain unclear. This study aims to investigate the correlation and agreement among non-invasive inspiratory effort indicators, and to compare characteristics of inspiratory effort in neurocritical and non-neurocritical patients.MethodsThis was a single-centre prospective observational study. We collected three non-invasive inspiratory effort indicators, pressure muscular index (PMI), the maximal negative swing of airway pressure during expiratory occlusion (ΔPocc), and the airway occlusion pressure during the first 100ms (P0.1). Cutoff values for these indicators derived from esophageal pressure-time product (PTPmus) were chosen for this study. The correlation and agreement of these indicators were analyzed using Spearman’s rank correlation test and linear weighted Kappa analysis. Characteristics of PSV settings and inspiratory effort in neurocritical and non-neurocritical patients were compared.ResultsNinety-seven patients were enrolled in this study. Correlation analysis showed a moderate correlation between PMI and ΔPocc (rho = −0.524, p < 0.001), ΔPocc and P0.1 (rho = 0.588, p < 0.001), while no correlation between PMI and P0.1 (rho = −0.140, p = 0.172). There was a moderate agreement between ΔPocc and P0.1 (k = 0.459, p < 0.001), a fair agreement between PMI and ΔPocc (k = 0.362, p < 0.001), but no agreement between PMI and P0.1 (k = 0.134, p = 0.072). The correlation of these indicators was similar in neurocritical patients compared with non-neurocritical patients, but agreement was poor.ConclusionThe study showed that PMI and ΔPocc had moderate correlation and fair agreement, ΔPocc and P0.1 had moderate correlation and agreement, while PMI and P0.1 had no correlation and agreement.

This paper brings together the concepts of molecular complexity and crowdsourcing. An exercise was done at Merck where 386 chemists voted on the molecular complexity (on a scale of 1–5) of 2681 molecules taken from various sources: public, licensed, and in-house. The meanComplexity of a molecule is the average over all votes for that molecule. As long as enough votes are cast per molecule, we find meanComplexity is quite easy to model with QSAR methods using only a handful of physical descriptors (e.g., number of chiral centers, number of unique topological torsions, a Wiener index, etc.). The high level of self-consistency of the model (cross-validated R2 ∼0.88) is remarkable given that our chemists do not agree with each other strongly about the complexity of any given molecule. Thus, the power of crowdsourcing is clearly demonstrated in this case. The meanComplexity appears to be correlated with at least one metric of synthetic complexity from the literature derived in a different way and is correlated with values of process mass intensity (PMI) from the literature and from in-house studies. Complexity can be used to differentiate between in-house programs and to follow a program over time.

NY Empire State Manufacturing Index in the United States increased to 5.50 points in July from -16 points in June of 2025. This dataset provides the latest reported value for - United States NY Empire State Manufacturing Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

BackgroundCancer is a major disease burden to society. Increasing evidence has indicated that low skeletal muscle mass is linked with cancer prognosis. The purpose of the study is to determine the impact of preoperative low skeletal muscle mass (LSMM) on complications and survival of patients who undergo laparoscopic gastrectomy for gastric cancer (GC).MethodsThis study retrospectively collected patients undergoing laparoscopic gastrectomy for GC between January 2017 and December 2018. Tumor staging was performed according to the American Joint Committee on Cancer 8th edition. The third lumbar psoas index (PMI) was assessed by computed tomography (CT) within 15 days before surgery. Postoperative complications were classified according to Clavien-Dindo classification and dichotomized into none vs any (Clavien-Dindo score, ≥1). Using propensity score matching (1:1) to obtain 2 well-balanced cohorts for available variables influencing clinical outcomes, comparing the postoperative complications and 3-year overall survival (OS) between LSMM group and non-LSMM group.ResultsA total of 386 patients, 226 were matched for analyses. The average patient age was 57.31 ± 10.33 years; 75.65% (n = 292) were men and 24.35% (n = 94) were women. A total of 249 (64.51%) patients were diagnosed with LSMM. Compared with the non-LSMM group, the LSMM group manifested significantly shorter 3-year OS (58.14% vs 71.95%, p = 0.034). However, the incidence of postoperative complications was no difference between two groups after matching. After stratification based on the pT stage of the tumor, statistically significant difference in the 3-year OS rates of the advance GC cohort between the two groups were observed.ConclusionsLSMM predicts a poor prognosis for patients with advance GC and it is not associated with postoperative complications.

Dallas Fed Manufacturing Index in the United States increased to -12.70 points in June from -15.30 points in May of 2025. This dataset provides the latest reported value for - United States Dallas Fed Manufacturing Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Construction supplies wholesalers' revenue flows in tandem with construction activity, driven by economic conditions, demographics and environmental initiatives. Ireland's housing shortage has constrained sales opportunities to housing contractors and trade retail outlets where new homeowners venture to renovate their new property. Substantial construction supplies price inflation between 2022 and 2023 dissuaded downstream customers from undertaking significant construction projects or home renovations. Moreover, the steep price rises wreaked havoc on the margins of some wholesalers as the tricky market meant many instances of stock passing its sell-by date. According to the CSO, the volume of production in building and construction dropped by 6.3% over 2023. While new sales opportunities were few and far between, wholesalers recouped some revenue via the inflation of key products like cement, stone, plaster and glass. In 2024, price stability for most construction materials and anticipated cuts to interest rates are supporting a bright outlook among households and construction companies, sparking an estimated 1.4% increase in revenue for their suppliers. Over the five years through 2024, construction supplies wholesalers' revenue is forecast to grow at a compound annual rate of 0.4% to reach €5.9 billion. As prices stabilise, the profitability of wholesalers will likely increase as it enables better price forecasting and inventory management; it also encourages purchases of high-margin items. Looking forward, Project Ireland 2040 will provide a steady stream of revenue for construction supplies wholesalers. To accommodate one million extra people by 2040, the Irish government is investing over €150 billion in a series of major housing developments, as well as civil engineering, public infrastructure and commercial building projects, which will require substantial quantities of construction equipment. Wholesale bypass is set to remain a serious threat to wholesalers. Nevertheless, over the five years through 2029, industry revenue is set to climb at a compound annual rate of 1.9% to reach €6.5 billion.

Skeletal muscle index (SMI) is a promising predictor of clinical outcomes in patients with malignant diseases. As a simpler surrogate of sarcopenia-psoas muscle index (PMI), its predict value for overall survival (OS) after transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC) has not been reported. To determine if changes in the PMI predicted OS in individuals with HCC treated with TACE. A retrospective analysis was performed in HCC patients treated with TACE between January 2018 and March 2019. The survival curve according to PMI was estimated by the Kaplan–Meier method and then compared by the log-rank test. Cox proportional hazards models were conducted to identify the prognostic factors for OS. Furthermore, the predictive abilities of PMI and SMI were compared by using Harrell’s concordance index (C-index). Two hundred and twenty-eight patients (175 men, mean age 59 ± 11 years) were analysed. The OS was less in patients with low PMI than those with high PMI (median OS: 16.9 vs. 38.5 months, p 

Kansas Fed Manufacturing Index in the United States increased to 5 points in June from -10 points in May of 2025. This dataset provides - United States Kansas Fed Manufacturing Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

BackgroundSarcopenia is defined as a low skeletal muscle volume. Recent studies have reported that sarcopenia is associated with a poor prognosis in various cancers. The purpose of this study is to evaluate the correlation between the psoas muscle volume and recurrence-free survival in patients with localized clear cell renal cell carcinoma (ccRCC).MethodsA total of 316 male patients with localized ccRCC who underwent radical nephrectomy at Yokohama City University Hospital (Yokohama, JAPAN) and Kanagawa Cancer Center (Yokohama, JAPAN) between 2002 and 2018 were enrolled in this study. The psoas muscle index (PMI) was calculated by normalizing the psoas muscle area on the contralateral side of the tumor on axial CT, which was calculated at the level of L4 (mm2) divided by the square of the body height (m2). We divided patients into two groups based on the median PMI (409.64mm2/m2).ResultsThe lower PMI group showed poorer recurrence-free survival (RFS) than the higher PMI group (p = 0.030). Regarding 5-year RFS, a lower PMI was a significant predictor of recurrence (p = 0.022, hazard ratio (HR): 2.306) and a multivariate analysis revealed that a lower PMI (4 cm (p = 0.044, HR: 2.341), and pathological stage >2 (p