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Lowland conifer forests dominated by black spruce (Picea mariana) and tamarack (Larix laricina) typically occur in peatlands in the boreal North American forest with near-surface water tables throughout the year. These forests are ecologically and economically important resources that may be impacted by climate change. However, information characterizing effects of forest disturbance, such as even-aged harvest on water table dynamics is needed to evaluate which forest tree species cover types are most hydrologically susceptible to even-aged harvest and changes in precipitation. We used a chronosequence approach to evaluate water table fluctuations and evapotranspiration across four stand age classes (<10, 15-30, 40-80, and >100-years old) and three distinct forest cover types (productive black spruce, stagnant black spruce, and tamarack) for a period of three years in Minnesota, USA. In general, there is limited evidence for elevated water tables in the younger age classes; the <10-year age class had no significant difference in mean weekly water table depth compared to the older age classes across all cover types. Estimated actual daily evapotranspiration (ET) generally agreed with the water table observations, with the exception of the tamarack cover type where ET was significantly lower in the <10-year age class. Productive black spruce sites that are 40-80-years old had higher evapotranspiration, and lower water table, possibly reflecting increased transpiration associated with the stem exclusion stage of stand development. Tamarack in the 40-80-year age class had higher water tables but no difference in ET compared to all other age classes, indicating that other external factors are driving higher water tables in that age class. To evaluate susceptibility to changing climate, we also assessed the sensitivity and response of water table dynamics to pronounced differences in growing season precipitation that occurred across study years. In general, tamarack forests are more sensitive to changes in precipitation compared to the two black spruce forest cover types. These findings can inform expected responses of site hydrology for a range of precipitation scenarios that may occur under future climate and be used by forest managers to evaluate hydrologic impacts of forest management activities across lowland conifer forest cover types., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Ltd.)

Glacial-interglacial variations in CO 2 and methane in polar ice cores have been attributed, in part, to changes in global wetland extent, but the wetland distribution before the Last Glacial Maximum (LGM, 21 ka to 18 ka) remains virtually unknown. We present a study of global peatland extent and carbon (C) stocks through the last glacial cycle (130 ka to present) using a newly compiled database of 1,063 detailed stratigraphic records of peat deposits buried by mineral sediments, as well as a global peatland model. Quantitative agreement between modeling and observations shows extensive peat accumulation before the LGM in northern latitudes (>40°N), particularly during warmer periods including the last interglacial (130 ka to 116 ka, MIS 5e) and the interstadial (57 ka to 29 ka, MIS 3). During cooling periods of glacial advance and permafrost formation, the burial of northern peatlands by glaciers and mineral sediments decreased active peatland extent, thickness, and modeled C stocks by 70 to 90% from warmer times. Tropical peatland extent and C stocks show little temporal variation throughout the study period. While the increased burial of northern peats was correlated with cooling periods, the burial of tropical peat was predominately driven by changes in sea level and regional hydrology. Peat burial by mineral sediments represents a mechanism for long-term terrestrial C storage in the Earth system. These results show that northern peatlands accumulate significant C stocks during warmer times, indicating their potential for C sequestration during the warming Anthropocene., Competing Interests: The authors declare no conflict of interest., (Copyright © 2019 the Author(s). Published by PNAS.)

Collaboration between networks presents opportunities to increase analytical power and cross-validate findings. Multivariate analyses of 2 large, international datasets (MYSTIC and SENTRY) from the Global Advisory on Antibiotic Resistance Data program explored temporal, geographic, and demographic trends in Escherichia coli resistance from 1997 to 2001. Elevated rates of nonsusceptibility were seen in Latin America, southern Europe, and the western Pacific, and lower rates were seen in North America. For most antimicrobial drugs considered, nonsusceptibility was higher in isolates from men, older patients, and intensive care unit patients. Nonsusceptibility to ciprofloxacin was higher in younger patients, rose with time, and was not associated with intensive care unit status. In univariate analyses, estimates of nonsusceptibility from MYSTIC were consistently higher than those from SENTRY, but these differences disappeared in multivariate analyses, which supports the epidemiologic relevance of findings from the 2 programs, despite differences in surveillance strategies.

Clusters of nosocomial infection often occur undetected, at substantial cost to the medical system and individual patients. We evaluated binary cumulative sum (CUSUM) and moving average (MA) control charts for automated detection of nosocomial clusters. We selected two outbreaks with genotyped strains and used resistance as inputs to the control charts. We identified design parameters for the CUSUM and MA (window size, k, alpha, Beta, p(0), p(1)) that detected both outbreaks, then calculated an associated positive predictive value (PPV) and time until detection (TUD) for sensitive charts. For CUSUM, optimal performance (high PPV, low TUD, fully sensitive) was for 0.1 < or = alpha < or = 0.25 and 0.2 < or = Beta < or = 0.25, with p(0) = 0.05, with a mean TUD of 20 (range 8-43) isolates. Mean PPV was 96.5% (relaxed criteria) to 82.6% (strict criteria). MAs had a mean PPV of 88.5% (relaxed criteria) to 46.1% (strict criteria). CUSUM and MA may be useful techniques for automated surveillance of resistant infections.

Accurate results from the world's microbiology laboratories are essential for care of patients, control of hospital and community infections, and global epidemiology. Yet those laboratories differ greatly in their access to supplies, published literature and standards, training courses, peer interaction, and mandated quality control. Because much of what is needed is information, new information technology should help. In particular, measurements of susceptibility to antimicrobial agents, now increasingly filed in electronic databases, exhibit many kinds of variances due both to test performance and to the diversity of bacteria and of their mechanisms of resistance. In industry, workers' ongoing evaluation of variances in measurements of performance has been the basis of management programs of continuous quality improvement. Examples suggest how collegial evaluation of variances in shared susceptibility test data might similarly improve quality not only of testing but also of other aspects of the management of antimicrobial resistance. Internet access is now making such ongoing evaluation and discussion increasingly possible in most parts of the world.

Wide use of a succession of different manufactured antimicrobial agents during the past 60 years has prompted the eventual emergence and progressive spread through the world's interconnecting bacterial populations of a growing variety of genes expressing resistance to those agents. The complex processes that spread and link resistance genes into different distributions at different times and places are driven by antimicrobial selection and by contagion. Management of resistance by reducing selection and contagion in a coordinated way requires better information. Most of the information about the spread of resistance exists in laboratory files of isolates at medical centers, and the information about patient antimicrobial use is found in pharmacy files at the same centers. Putting these in a combined database at each center would give a valuable tool to each center's antimicrobial resistance management team. Merging such databases from multiple centers would provide a public health resource for benchmarking, overview surveillance, and general resistometrics.

Genes expressing resistance to each antimicrobial agent emerged after each agent became widely used. More than a hundred such genes now spread selectively through global networks of populations of bacteria in humans or animals treated with those agents. Information to monitor and manage this spread exists in the susceptibility test results of tens of thousands of laboratories around the world. The comparability of those results is uncertain, however, and their storage in paper files or in computer files with diverse codes and formats has made them inaccessible for analysis. The WHONET program puts each laboratory's data into a common code and file format at that laboratory, either by serving as or by translating from its own computer reporting system. It then enables each medical center to analyze its files in ways that help it monitor and manage resistance locally and to merge them with files of other centers for collaborative national or global surveillance of resistance.

A rich store of detailed information about antimicrobial resistance is at each medical center in paper files inaccessible to analysis or in electronic files too diverse to support a common analytical software. WHONET puts that information on a personal computer at each center in a file code and format that is the same at all centers, so that one software can then fully analyze the files at any center or those merged from many centers. The software monitors the complex matrix of interrelationships between all the measurements of resistance to antimicrobials of tested isolates of each species and of control strains. Differences at a center over time or between centers reflect differences in test performance or in the prevalence of specific resistant strains, which may be tracked. The software helps workers who are knowledgeable about resistance, infection control and clinical use of antimicrobials at any center to control test quality and integrate the management of resistance there. Their ongoing monitoring and experience locally also builds the quality and interpretation of the files merged from many centers.

We evaluated the resistance to fluid infusion in the veins of 118 adult patients after intravenous catheter insertion prior to elective surgery. Hydraulic resistance in veins was defined as the slope of the pressure-flow relationship obtained by measuring venous pressure at several fluid flow rates. A resistance unit (RU) was defined as 1 mmHg/L/hr. Resistance in veins ranged from -12.1 to 732 RU, with 50th and 95th percentiles being 22 and 198 RU, respectively. Venous resistance was not significantly affected by site of catheter insertion, tissue characteristics at the insertion site, age, sex, patient anxiety, American Society of Anesthesiologists physical status, or catheter size. This report provides a distribution of resistance to fluid infusion in arm veins of adult patients.

Resistance to fluid infusion can be derived from measurements of pressure at two or more flow rates. We measured resistance in 31 patients using a pressure-monitoring infusion pump (Model 560, IVAC) by recording pressure at five flow rates (0, 50, 100, 200, and 300 mL/hr), and computing resistance as the slope of the pressure versus flow curve. Resistance was measured subcutaneously (Rtissue) and intravenously (Rvein) immediately after unsuccessful or successful IV catheter placement. In all patients, Rtissue was always greater than Rvein. The difference ranged from 23 resistance units (RU) to 4166 RU, with a mean difference of 1147 RU (p < 0.0001, Student's t-test). Unpaired analysis of the data was performed to assess the ability of resistance to indicate extravasation in the absence of prior Rvein measurement. The median value for Rvein was 62 RU (range -13.6 to 420 RU), and for Rtissue, 544 RU (range 65.7 to 4170 RU). Receiver operating characteristic (ROC) analysis revealed that a 200-RU threshold detected infiltration with 0.90 sensitivity and 0.91 specificity. We conclude that elevated resistance during fluid infusion is an important early and easily measurable finding in fluid extravasation.

Objective: To determine the value of repeated Clostridium difficile cytotoxicity assays (CA)., Design: All CAs performed during 1993 were retrospectively reviewed and correlated with clinical data. Assays were grouped into episodes, which were defined as one or more successive tests performed on a single patient within 7 days or less of each other., Setting: A 751-bed tertiary care facility., Patients: All patients with Clostridium difficile CAs submitted to the microbiology laboratory., Results: There were 947 episodes with two or more CAs. In 15 of these episodes, a negative CA result was followed by a positive result, and in 25 cases, a positive result was followed by a negative one. We reviewed the clinical data for these cases. Of the 947 episodes with two or more CAs, the repeated assays provided new information that was used in patient care in fewer than nine cases. Repeated testing within 7 days of an initial CA accounted for 36% of all assays performed, but provided clinically useful information in only about 1% of cases., Conclusions: Clostridium difficile CAs should not be repeated within a 7-day period.