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Population Pharmacokinetics of Vancomycin in Japanese Pediatric Patients

Population Pharmacokinetics of Vancomycin in Japanese Pediatric Patients
Population Pharmacokinetics of Vancomycin in Japanese Pediatric Patients

Therapeutic Drug Monitoring

Issue: Volume 20(6), December 1998, pp 612-618

Copyright: ? 1998 Lippincott Williams & Wilkins, Inc.

Publication Type: [Articles]

ISSN: 0163-4356

Accession: 00007691-199812000-00005

Keywords: Population pharmacokinetics, Vancomycin, Pediatric patients, Methicillin-resistant Staphylococcus aureus (MRSA), NONMEM, Dosage guideline

[Articles]

Population Pharmacokinetics of Vancomycin in Japanese Pediatric Patients

Yasuhara, Masato*; Iga, Tatsuji?; Zenda, Hiroshi?; Okumura, Katsuhiko§; Oguma, Takayoshi[//]; Yano, Yoshitaka[//]; Hori, Ryohei?

Author Information

*Department of Pharmacy, Tokyo Medical and Dental University Hospital, Tokyo; ?Department of Pharmacy, Tokyo University Hospital, Tokyo; ?Department of Pharmacy, Shinshu University Hospital, Matsumoto; §Department of Pharmacy, Kobe University

Hospital, Kobe; [//]Developmental Research Laboratories, Shionogi and Co., Ltd., Osaka; and ?Pharmaceutical Research and Technology Institute, Kinki University, Osaka, Japan.

Received December 11, 1997; accepted June 24, 1998.

Address correspondence and reprint requests to Takayoshi Oguma, Developmental Research Laboratories, Shionogi and Co., Ltd., Sagisu 5-12-4, Fukushima-ku, Osaka 553, Japan.

Summary:

The population pharmacokinetic profile of vancomycin (VCM) in Japanese pediatric patients infected with methicillin-resistant Staphylococcus aureus was analyzed using 181 samples of serum concentration data from 49 patients obtained in routine drug monitoring. The one-compartment linear model was adopted, where the VCM clearance (CL) and the distribution volume (V d) were correlated with covariates such as postnatal age (AGE) and body weight (BWT). The population pharmacokinetic analysis program NONMEM with the first-order conditional estimation method was used. The results showed that the population mean clearance normalized by BWT increases with AGE up to 1 year of age [CL(L/hour per kg) = 0.119 + 0.0619 · (AGE - 1)] and decreases with age over 1 year old [CL(L/hour per kg) = 0.119 + 0.00508 · (1 - AGE)]. The population mean of the distribution volume normalized by BWT was independent of AGE (V d (L/kg) = 0.522). The interindividual variability of CL was 39.6%, and that of V d was 18.8%. The intraindividual, residual variability was 34.6%. These results were compared with those in other articles, and a guideline for dosage adjustment in VCM therapy is discussed.

Vancomycin (VCM) is a glycopeptide antibiotic generally used for the treatment of gram-positive infections, especially against those caused by methicillin-resistant Staphylococcus aureus(1). The clinical pharmacokinetics of the drug in pediatric patients has been reviewed previously (2) and dosage regimens were discussed for the optimization of VCM therapy. Although side effects of the drug such as nephrotoxicity have been reported in adult patients (3-7), the concentration dependencies of these side effects have not been clarified for pediatric patients (2). In these populations, the VCM dosage should be carefully adjusted because of rapid maturational changes such as developmental changes in total body water volume and kidney function. Therefore, drug concentration monitoring during VCM therapy and the precise evaluation of VCM kinetics should offer useful information for optimizing VCM therapy.

In the pharmacokinetic analysis of VCM in pediatric patients, one- and two-compartment models have often been adopted to describe the serum VCM concentration versus time profile (8-16). Vancomycin is widely distributed in body tissues and fluids and is mainly eliminated unchanged by the kidney via glomerular filtration (2,17,18). Thus change in renal function is one of the important factors affecting VCM kinetics. The glomerular filtration rate is significantly lower in young infants than in children or in adults and gradually increases with age (19-21). Therefore, age is an important covariate affecting the VCM pharmacokinetics.

Recently, we conducted a population pharmacokinetic study of VCM in the course of a postmarketing surveillance study using routine monitoring data and reported the results in adult patients (22). The current article describes the results of the pharmacokinetic analysis of VCM in pediatric patients. Because the serum samples were obtained during the routine drug monitoring and sparse data were available for each patient, we applied the population pharmacokinetic approach to evaluate VCM kinetics in pediatric patient populations. The purpose of the study was to clarify the population pharmacokinetic characteristics of VCM in hospitalized pediatric patients infected with methicillin-resistant S. aureus.

METHODS

Patients and Data Collection

The study was performed with serum concentration data from hospitalized pediatric patients infected with methicillin-resistant S. aureus. The data were collected from patients at the 19 institutions participating in the study group of VCM therapeutic drug monitoring (Table 1) from August 1993 through March 1995. The covariate data collected were gender, postnatal age (AGE), body weight (BWT), and laboratory data including serum creatinine (Scr), blood urea nitrogen, glutamic oxalacetic transaminase, glutamic pyruvic transaminase, alkaline-phosphatase, and total bilirubin. These data were collected at the beginning, end, and appropriate times during VCM treatment. Accurate dosing and serum sampling histories were collected including the dosing date and time, dosing amount, and infusion period from the start of VCM therapy. The demographic data are summarized in Table 2.

TABLE 1. Institutions participating in the VCM-TDM study group

TABLE 2. Description of patient data used in the pharmacokinetic analysis of vancomycin

Assay Methods

Vancomycin assay was performed as part of the routine clinical monitoring at each hospital where the serum samples were collected (Table 1). Serum concentration of VCM was measured using the fluorescence polarization immunoassay method with a TDx assay system (Abbott Laboratories, Chicago, IL, USA). Other laboratory data were also measured at each hospital. The coefficient of variation was reported to be less than 2.5% for within-day assay (23).

Data Analysis

The collected serum concentration data were analyzed by a nonlinear mixed effect model using the NONMEM system (24) (double precision NONMEM Version IV, PREDPP Ver.3, NM-TRAN Ver.2) to evaluate the population mean parameters, and interpatient ([eta]) and intraindividual ([epsilon]) random effects. Calculations were performed with a Sun workstation on the UNIX operating system. As the data were obtained during repeated dosing of VCM, the first-order conditional estimation method with [eta]-[epsilon] interaction (24,25) was used. The statistical significance of the parameters was evaluated by the likelihood ratio test using the minimum values of the objective function (-2 log likelihood) produced by the NONMEM program. The value p < 0.05 was

considered to be statistically significant. Confidence intervals of the estimated population parameters were also calculated using the standard errors obtained by NONMEM.

Pharmacostatistical Model

To determine the basic compartment model, we first fitted both the one- and the two-compartment models with no covariates, and the results suggested the two-compartment model better describes the current data set (difference of the objective functions was 22.5). However, the estimated mean half-life of the [beta]-phase by the two-compartment model was considerably large (about 11 hours), and the numbers of data points throughout the repeated dosing per patient was too small (Table 2) to accurately estimate the two-compartment model parameters. Therefore, we decided to use the one-compartment model using NONMEM PREDPP subroutines ADVAN1 and TRANS1. Vancomycin clearance (CL) and the distribution volume (V d) were used as the basic parameters. The exponential error model for the interindividual variation ([eta]j) was set to the CL and the V d as Equation 1, Equation 2 where TVCL, TVV d are the typical values of CL and V d, respectively, predicted under the regression model with [eta]j equal to zero. The term [eta]j is the random variable for the j th parameter with mean of zero and variances of [omega] 2.

j

Equation 1

Equation 2

For the intraindividual (or residual) variability, the exponential error model was also assumed as follows: Equation 3 where Y and F are the observed and predicted serum concentrations, and [epsilon] is a random variable with mean zero and variance of [sigma]2. The nondiagonal elements of the variance-covariance matrix were ignored.

Equation 3

Development of the Regression Model

The NONMEM system can be used to evaluate the patient [eta]j by the posterior conditional estimation technique (posthoc) using the estimated population mean parameters and the individual observation data, and the individual pharmacokinetic parameter estimates (posthoc estimates) can be obtained in a single NONMEM run. The serum concentration data were first fitted to the one-compartment model with no covariates (i.e. the primitive model), and the mean values and individual posthoc estimates of VCM clearance and V d were simultaneously obtained. Correlation of the covariates such as BWT, AGE, Scr, glutamic oxalacetic transaminase, glutamic pyruvic transaminase, alkaline-phosphatase, and total bilirubin with posthoc VCM clearance and V d were examined by linear regression analysis. The results suggested that VCM clearance significantly (p < 0.05) depends on BWT, AGE, and Scr, and V d significantly depends on BWT and AGE. No significant correlation was found between these VCM pharmacokinetic parameters and the other laboratory data. Pediatric patients are usually classified into three subpopulations according to their postnatal age: newborn (0 to 1 month), infants (1 month to 1 year), and children (older than 1 year of age). As the population in the current study included only one newborn patient, we classified the patients into two groups, i.e. one group including the neonate and infants and the other of children. The volume of total body water normalized by BWT was reported to decrease with age to 1 year and is almost constant in children (19,26,27). Because VCM is a water-soluble compound, this change in total body water may affect the VCM distribution volume. From these preliminary considerations, we assumed the following full model for VCM kinetics in the pediatric patient population.

For neonates and infants: Equation 4, Equation 5

Equation 4

Equation 5

For children: Equation 6, Equation 7

Equation 6

Equation 7

The variables SIZE CL and SIZE Vd are the hypothetical body sizes that represent the nonlinear dependencies of CL and V ss on BWT, and are described as follows: Equation 8, Equation 9

Equation 8

Equation 9

The value of 10 kg was arbitrarily selected for the typical body weight. PF is the factor for correcting the distribution volume normalized by BWT for premature infants, taking the value of 1 for premature infants and 0 for the others. The forward estimation process for the full model was performed in the NONMEM run with the first-order conditional estimation method.

RESULTS

Table 2 summarizes the characteristics of the patients participating in the current study. The data consisted of 181 serum concentration measurements during repeated dosing for 49 patients. There were eight premature infants whose mean body weight and mean postnatal age were 1.01 kg (SD = 0.45) and 0.21 (SD = 0.13) years of age, respectively. The typical dosage was 1 hour infusion of 15 mg/kg and the typical dosage interval for a patient was 8 hours. Nine patients received concurrent treatments with aminoglycosides. However, these drugs were used irregularly and concurrent treatments of these drugs were not included as covariates in the NONMEM analysis. Figure 1 shows the distribution of BWT, AGE, and serum creatinine concentration. The population includes only one neonate, 25 infants, and 23 children. The postnatal age and BWT were closely correlated (r = 0.964). Serum concentration data are shown in Figure 2.

FIG. 1. Distribution of body weight, postnatal age, and serum creatinine of patients studied. [light shade circle] [light shade circle] [light shade circle] : premature infants.

FIG. 2. Serum concentration profile of vancomycin after intravenous infusion. The x-axis is the time from when the infusion was stopped, and all data in each dosing during repetitive administration in all patients were plotted on this scale.

Model building processes are summarized in Table 3. Although the premature factor ([theta]10) was estimated to be significant in the forward estimation processes ([theta]10 = 1.39 (SE = 0.242)), the confidence interval of this parameter included one in the selected model (model 9). The additional calculation (model 13) deleting the parameter from the selected model resulted in no significant increase of the objective function. Therefore, we selected model 13 for the final model. The final estimates of the population pharmacokinetic parameters of VCM are shown in Table 4. The estimated VCM clearance by posthoc estimation using the final model is shown in Figure 3. The size factors for both CL and V d ([theta]8 and [theta]9) were not significantly different from 1, i.e., CL and V d were linearly correlated with BWT, and V d was independent of AGE when normalized by BWT. In contrast, VCM clearance normalized by BWT depended on AGE, and increased with AGE in infants, and decreased with AGE in children. These results coincide with the age-related maturational process of kidney function in younger pediatric patients (up to 1 year) (19-21).

TABLE 3. List of models tested and log likelihood differences

TABLE 4. Final population pharmacokinetic parameter estimates of vancomycin in pediatric patients

FIG. 3. Estimated vancomycin clearance in each patient by posthoc estimation using the final model. The line represents the population mean value.

Figure 4 shows the relationship between the observed concentration and the predicted values by the posthoc estimation using the final model. Comparably good correlation was found for the concentration range below 40 μg/ml, but some points were overestimated at a higher concentration range. This is because the one-compartment model was adopted here and the distribution phase of VCM soon after infusion was terminated could not be clearly explained by the one-compartment model.

FIG. 4. Relationship between the observed vancomycin concentration and estimated values by the posthoc prediction using the final model. The line of identity is shown.

DISCUSSION

In this work, we estimated the population pharmacokinetic parameters of VCM using sparse serum concentration data obtained from routine monitoring. There have been some reports concerning pharmacokinetic evaluation of VCM in pediatrics, and the estimated parameters were recently reviewed (2). The parameters estimated in the current study generally agreed with these previously reported values. For example, Schaad et al (8) reported the [beta]-phase half-life (t?([beta])) to be 4.1 hours for infants and 2.2 to 3.0 hours for children 3 to 7 years old. The calculated mean half-life of infants in the current study was 6.3 hours (0 year) and 3.0 hours (1 year) and 2.8 hours for children of 3 years of age.

Although Scr was found to be a significant factor affecting VCM clearance by the linear regression analysis, the final model does not include Scr as a covariate. One of the reasons for this result is the small number of patients with high Scr levels included in the analysis. Some articles reported the correlation of VCM clearance of infants with indexes of kidney function such as serum creatinine level (11) and creatinine clearance (15).

According to the final parameter estimates, we simulated an example of the optimum dosage regimen. When the target peak (strictly speaking, the serum concentration at 1 hour after the infusion was terminated) and trough concentrations were set, the optimum infusion rate (Rate*) and dosing interval ([tau]*) were calculated using the following equations: Equation 10, Equation 11 where C peak and C trough are the target peak and trough concentrations, Ke is the elimination rate constant ( = CL/V d) and T inf is the infusion period. Figure 5 shows an example in which the target peak and trough concentrations were set at 35 and 10 μg/ml, respectively. In most patients, the desired infusion rate is about 15 mg/kg per hour. The recommended dosing intervals were from 8 to 16 hours, and the 8-hour interval seems to be preferable for patients approximately 1 year of age.

Equation 10

Equation 11

FIG. 5. An example of the optimum dosage interval (upper) and the optimum infusion rate (lower) in pediatric patients. The target peak and trough were set at 35 and 10 μg/ml, respectively. An infusion period of 1 hour was assumed. The curves are the optimum values calculated using the population mean parameters and each plot represents the optimum interval and infusion rate based on the posthoc parameter estimates of each patient.

Much attention has been paid to the pharmacokinetics and dosage regimens in low-birth weight neonates or infants (9,10,28-30). The current results did not include enough information about this population. Speculating from the results in Figure 5 at the age of 0, the recommended dosing interval is about 12 hours and infusion rate is from 15 to 20 mg/hour per kg. Although the correction factor for premature infants ([theta]10) could not be precisely obtained from the current analysis, some corrections for V d might be required for premature infants because of their low body weight compared with the normal value.

In summary, we studied the population pharmacokinetics of VCM using serum concentration data obtained in routine monitoring during post marketing surveillance. As Bayesian forecasting offers many important advantages for dosage individualization (31), the current results should be useful for estimating the initial dosage and for Bayesian forecasting in routine drug monitoring and VCM therapy.

APPENDIX

At steady state, the peak concentration (1 hour after infusion terminated, C peak) and the trough concentration (C trough) are given by equations (A1) and (A2).

Equation A1

Equation A2

From equation (A1), the optimum infusion rate (Rate*) is obtained as shown by equation (10). By dividing C peak (equation A1) with C trough (equation A2), the optimum dosing interval ([tau]*) can be given as equation (11).

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Key Words: Population pharmacokinetics; Vancomycin; Pediatric patients; Methicillin-resistant Staphylococcus aureus (MRSA); NONMEM; Dosage guideline

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Fig. 5

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英语名词用法总结

考点: 1. 掌握可数名词的复数 2. 学会表示不可数名词的量 3. 掌握构词法:名词变形容词 4. 掌握名词所有格的用法 5. 掌握名词做主语、定语的用法 冠词离开名词没有任何意义,因此在学习冠词前,首先要了解名词的分类: '个体名词:人或物所共用的名称 dog, chair 名词可分为::可数名词v 丄集体名词:集体的名称 class, family, police, 物质名词:物质的名称 p aper, water 抽象名词:抽象的物的名称 happi ness 专有名词:人或物所特有的名称 Tom, China 考点一:可数名词的数 可数名词复数变化规则: (1) 规则变化:a.以-s,-x,-sh, -ch,结尾的名词,在词尾 +es,发音/-Is/ eg : classes, brushes, boxes, watches b. 以辅音字母+ -y 结尾,将y 变i ,再+es , eg : parties, stories (注意元音同y 结尾时+s boys ) c. 部分以f 或fe 结尾的词,将变 f/fe 为v+es , eg : wife-wives 口诀:(妻见小偷加下藏,手拿小刀想杀狼,忽然飘下一片叶,砸在头上一命亡) d. 部分以o 结尾的词,(生物名词,包括动植物,口诀:黑人英雄爱吃土豆西红柿)后加 es , 女口: Negroes, heroes, potatoes, tomatoes, 以o 结尾的无生命的词,一般直接 +s eg : photos , pianos , kilos , tobaccos (2) 不规则变化: a.名词中所含元音字母发生变化 eg: foot-feet; tooth- teeth; man-men; woma n- wome n; b:名词词尾力口 en/ren : ox-oxen ; child-children ; c. 单复数同行: fish; sheep; deer; means; aircraft; d. 关于国家:中日不变,英法荷变,其他后面加 s two Chin ese; five Japa nese;/ En glishme n; En glishwome n; Dutchme n; /Germa ns; America ns e. 有些集体名词用单数形式表达事物总称 ,如hair, fruit,但在 表示"几根头发”,"若 干水果”时,则用复数形式 a few white hairs; several foreig n fruits f. 有些名词形式上是单数的,但实际上是复数的,这一类名词有:cattle 牛, 家畜;people 人 们;vermin 害虫;police 警察;staff 全体职员;clergy 僧侣,神职人员;youth ; mankind ; bacteria ; crew 等 g. 有些集体名词 表示整体时用单数,表示集体中的各个成员时用做复数 ,能这样用的 集体名词有: audienee , club , class, college , crowd , company , couple , department , enemy , family , firm , flock, generation, government, group, herd, navy, party, public, population, press 新闻界 /记者群, staff, team, university 等 (3) 复合名词的复数 a.由man 或woman 为前缀的复合名词,两者都变成复数 a man teacher/ men teachers ; a woman doctor/ women doctors 名词 I 不可数名词

(完整版)不定代词用法讲解

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Population population是一个集合名词,它的用法有时较为特殊,很容易用错。 一、population常与定冠词the连用,作主语用时,谓语动词常用第三人称单数形式。例如: The world's population is increasing faster and faster. 全世界的人口增长得越来越快。 At the beginning of the twentieth century, the world's population was about 1,700 million. 在二十世纪初,全世界的人口大约是十七亿。 二、当主语是表示"人口的百分之几、几分之几"时,谓语动词用复数形式。例如: About seventy percent of the population in China are farmers. 中国大约有百分之七十的人口是农民。 三、有时population可用作可数名词,其前可用不定冠词。例如: China has a population of about 1.3 billion. (=There is a population of about 1.3 billion in China.) 中国大约有十三亿人口。

New York is a big city with a population of over 10 million. 纽约是一个有一千多万人口的大城市。 补:在表示多个地区的人口时,population要用复数形式populations。例如: Many parts of the world, which once had large populations and produced plenty of crops, have become deserts. 世界上很多地区一度人口众多,种植大量的农作物;现在,这些地区已经变成了沙漠。 四、表示人口的"多"或"少",不用"much"或"little",而要用"large" "big"或"small"。例如: India has a large population. 印度人口众多。 Singapore has a small population. 新加坡人口少。 五、询问某国、某地有多少人口时,不用"How much...?",而用"How large...?";在问具体人口时用"What...?"。例如: -How large is the population of your hometown? 你们家乡有多少人口?

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不定代词用法总结-标准化文件发布号:(9556-EUATWK-MWUB-WUNN-INNUL-DDQTY-KII

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Module9Population知识讲解

Module 9 Population 词汇精讲 1. noise ,voice &sound (1)noise 可以作可数名词,也可以用作不可数名词,表示“人们不愿听到的声音或嘈杂声”。 例如: I heard some strange noises last night. 昨夜我听见一些奇怪的响声。 There's a lot of noise here. 这个地方人声嘈杂。 (2)voice 作名词,意为“声音,嗓音”。用于人时,指说话、歌唱或发笑的声音,也可指发言权。用于其它方面时,常含悦耳之声,如鸟鸣声,乐器声音等。例如:He talked of his trip to Hong Kong in a cheerful voice. 他兴高采烈地谈了他的香港之行。 She has a sweet voice. 她声音很甜美。 (3)sou nd泛指自然界的任何声音,不论其高低、是否悦耳等。例如: I heard the sound of running water. 我听见流水声。 Light travels faster than sound. 光比声音传播得快。 2. huge huge 是常用词, 用于具体事物或人时, 指“体积或数量大得超过一般情况” ;用于抽象事物时, 作“巨大的”、“无限的”解。例如: He stood tongue-tied before the huge audience. 在大批听众面前他站着说不出话来。 【拓展】 (1)big “大的,巨大的”,常指程度,范围,规模,容积,重量,数量等(还可表示“伟大,重要”之意)常可与large 互换,多用于具体的、有形的人或物(其反义词多为 little/small 。) 例如:There is a big tree beside the house.房子旁边有一棵大树。 (2)great 大“的,极大的,伟大的,重要的,超乎寻常”,常指面积,数量,程度(或指抽象的东西,如知识,能力,人格等),用来指人时,表示“伟大的,杰出的”,其反义词为little/small 。例如: We heard a great n oise我们听到一个很大的响声。 【注意】big还可以作长大了”解,great有时可表达说话人的喜悦、赞扬等感情。 例如:Lily is big enough to ride a bike. 莉莉长大了,可以骑自行车了。 He's the greatest man I have ever seen. 他是我见过的最伟大的人物。 (3)large “大的,巨大的”,常指面积,范围,可表示数和量(当它直接用于人时,可表示身体的大),其反义词为small。例如: They say China is a large and beautiful country. 他们说中国是一个面积大而美丽的国家。 3. question&problem question 和problem 都有“问题”的意思,但用法不同。question 指须解答的问题,是就疑问而言的;problem 指须解决的问题,是就困难而言的。例如: What's your question? Can you answer it? 你的问题是什么?你能自己回答吗? What's your problem? Can you solve it by yourself? 你的问题(困难)是什么?你能自己解决吗? 4. billion (1)billion是数词,意为十亿”当表示具体的几十亿”时,用基数词+ billion ,注意不加-s。 第 1 页

不定代词用法归纳

不定代词用法归纳(详细讲解) ■本站特约作者陈根花 一、不定代词概说 英语的不定代词有 all, each, both, either, neither, one, none, little, few, many, much, other, another, some, any, no, (a) few, (a) little, both, enough, every 等,以及由 some, any, no 和 every 构成的合成代词(即somebody, anyone, nothing 等)。在这些不定代词中,多数都能作主语、宾语、表语或定语,但是代词 none 以及由 some, any, no 和 every 构成的合成代词只能作主语、宾语或表语,不能作定语,而 no 和 every 则只用作定语。 二、指两者和三者的不定代词 有些不定代词用于指两者(如both, either, neither),有的不定代词用于指三者(如all, any, none, every),注意不要弄混: Both of my parents are doctors. 我的父母都是医生。 All of the students are interested in it. 所有的学生对此都很感兴趣。 There are trees on any side of the square. 广场的每一边都种有树。 He has two sons, neither of whom is rich. 他有两个儿子,都不富有。 He has three sons, none of whom is rich. 他有三个儿子,都不富有。 【说明】each 可用于两者、三者或三者以上,而 every 只用于三者或三者以上,因此用于两者时只能用 each,不能用 every。如不能说 There are trees on every side of the road. 三、复合不定代词的用法特点 复合不定代词包括 something, somebody, someone, anything, anybody, anyone, nothing, nobody, no one, everything, everybody, everyone 等。它们在句中可用作主语、宾语或表语,但不能用作定语。something, someone 等和 anything, anyone等的区别与 some 和 any 的区别一样,前者一般用于肯定句,后者一般用于否定句、疑问句或条件句(参见 any & some)。具体使用时应注意以下几点: 1.复合不定代词受定语修饰时,定语应放在它们后面: There is nothing wrong with the radio. 这收音机没有毛病。 Have you seen anyone [anybody] famous? 你见过名人吗? 2.指人的复合不定代词若用作主语,其谓语动词一般用单数,相应的人称代词和物主代词也用单数 he, him, his (不一定指男性)。但在非正式文体中常用复数代词 they, them, their:Everyone knows this, doesn’t he [don’t they]?人人都知道这一点,不是吗? If anybody [anyone] comes, ask him [them] to wait. 要是有人来,让他等着。 3.指事物的复合不定代词若用作主语,谓语动词只能用单数,相应的人称代词也只能用 it,而不用 they:

(完整版)非谓语的用法总结

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不定代词用法一览表

不定代词用法一览表 例词含义作用例句 both 后接复数名词表示 两个 人或 事物 主语Both are teachers. 两个都是教师。 宾语 The teacher wanted both of us to go.老师要我们两个 人都去。 定语Both questions are easy.两个问题都很容易。 同位语They both did it well.他们两个人都干得不错。 注: 1. both与定冠词、指示代词、物主代词连用时,应放在这些词的前面。 2. both在否定句中用作主语时,表示部分否定。如: Both of you won’t go. 你们两个不需要都走。 neithe r 后接单数名词(与both 反义) 表示 两个 人或 事物 都不 主语Neither is mine.两个都不是我的。 宾语I want neither of the books.那两本书我都不要。 定语Neither sentence is correct.两个句子都不对。 注: Neither在句子中作主语时,谓语动词用单数形式。Neither在 句子中作主语时表示全部否定。如: Neither of you is Japanese.你们两个都不是日本人。 You can’t eat either of them=You can eat neither of them. either 后接单数名词两个 人或 物中 任一 个 主语Either will be all right.两个中哪一个都行。 宾语 He looked at the two pens, but didn’t buy either(=bought neither).他看了两支笔,但一支也没有 买。 定语 You may take either book (=take one of the two books). =You can’t take both of the two books. 两本书你可以任选一本。 all 最少 表示 三个 以上 (肯 定) 主语All of them are workers.他们都是工人。 宾语 The teacher asked us all about the matter. 老师问了我们所有的事。 表语That’s all for today.今天就到这。 定语All men are mortal.人总是要死的。 状语He was all covered with mud.他浑身是泥。 同位语They all came here.他们都到了。 注: 1. all与定冠词、指示代词、物主代词连用时要放在它们的前面。 如: Do you see all the birds in the tree?你看到树上所有 的鸟吗? 2. all用作状语时,应放在实义动词之前,助动词之后。 如:The books were all sold out.所有的书都卖完了。 3. not与all连用时表示部分否定。 none (与最少 表示 三个 主语 None of them have come back yet.他们一个都还没有回 来。 宾语She chose none but the best.她只挑了最好的东西。

非谓语动词用法归纳语法

一、表格的用法 1.doing 的用法 (1)在要求动词后(作宾语):avoid避免appreciate 感激/欣赏acknowledge承认/自认 admit 承认advocate提倡/主张consider 考虑 can't help不禁 can't stand受不了contemplate细想complete完成confess坦白 dislike不喜欢,讨厌deserve值得 delay 延迟 deny否认 dread可怕defer拖延detest嫌恶 enjoy享有/喜爱envy嫉妒endure忍受excuse借口escape逃跑/逃避finish完成forgive原谅 fancy幻想/爱好favor 造成/偏爱figure描绘/计算hate讨厌 imagine设想involve卷入/包含keep保持miss错过mention说到/讲到mind 介意pardon原谅/饶恕permit允许 postpone推迟practice 实行/实践prevent阻止quit放弃停止risk冒险recall回想resist抵抗/阻止 resume恢复repent悔悟resent怨恨stand坚持/忍受suggest建议save营救/储蓄tolerate忍受

worth值得 You should try to avoid making mistakes. The book is worth reading. The book deserves reading. (2)表进行 Walking on the grassland, I saw a snake.=When I was walking on the grassland, I saw a snake. The man speaking English is Tom. = The man who is speaking English is Tom. (3)表主动 The man speaking English is Tom = The man who speaks English is Tom. = The man who spoke English is Tom. Nobody dinks boiling water but boiled water.= Nobody dinks water that is boiling but the water that has boiled. (4)表伴随 I stand outside waiting for Mr. Chen. I lie in bed reading a novel. (5)表性质;特点 The film is very moving. She is understanding, so you had better discuss your business with her.

Population用法

Population用法 population是一个集合名词(无复数形式),它的用法有时较为特殊,所以很容易用错。 下面谈一下它的用法: 一、population常与定冠词the连用,作主语用时,谓语动词常用第三人称单数形式。 例如: The world\'s population is increasing faster and faster. 全世界的人口增长得越来越快。 At the beginning of the twentieth century, the world\'s population was about 1,700 million. 在二十世纪初,全世界的人口大约是十七亿。 二、当主语是表示\"人口的百分之几、几分之几\"时,谓语动词用复数形式。 例如: About seventy percent of the population in China are farmers. 中国大约有百分之七十的人口是农民。 三、有时population可用作可数名词,其前可用不定冠词。 例如: China has a population of about 1.3 billion. (=There is a population of about 1.3 billion in China.) 中国大约有十三亿人口。 New York is a big city with a population of over 10 million. 纽约是一个有一千多万人口的大城市。 在表示多个地区的人口时,population要用复数形式populations。 例如: Many parts of the world, which once had large populations and produced plenty of crops, have become deserts. 世界上很多地区一度人口众多,种植大量的农作物;现在,这些地区已经变成了沙漠。 四、表示人口的\"多\"或\"少\",不用\"much\"或\"little\",而要用\"large\"或\"small\"。 例如: India has a large population. 印度人口众多。 Singapore has a small population. 新加坡人口少。 五、询问某国、某地有多少人口时,不用\"How much...?\",而用\"How large...?\";在问具体人口时用\"What...?\" 例如: -How large is the population of your hometown? 你们家乡有多少人口? -The population of our hometown is nearly twice as large as that of yours. 我们家乡的人口是你们家乡人口的将近两倍。 -What is the population of Canada? 加拿大的人口有多少? -The population of Canada is about 29 million. 加拿大的人口大约有二千九百万。 六、population还表示\"某地、某类的动、植物或物品的总数\"。 例如: In India, however, the population of tigers has increased, from 2,000 in 1972 to about 5,000 in 1989. 然而在印度,老虎的总数已从1972年的2,000只增长到了1989年的大约5,000只。

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